# Algorithmic Game Theory Research Topics Ideas

List of Research Topics and Ideas of Algorithmic Game Theory for MS and Ph.D. Thesis.

- Transactive energy for flexible prosumers using algorithmic game theory
- Comparing the Impact of Learning in Bidding Decision-Making Processes Using Algorithmic Game Theory
- Thou Shalt Love Thy Neighbor as Thyself When Thou Playest: Altruism in Game Theory
- Negotiating Change Orders with Suppliers during New Product Development using MCDM and Bayesian Game Theory
- Cohort Shapley value for algorithmic fairness
- Best variable identification by means of data-mining and cooperative game theory
- An algorithmic framework for fairness elicitation
- Game theory to enhance stock management of Personal Protective Equipment (PPE) during the COVID-19 outbreak
- The Dark Triad and strategic resource control in a competitive computer game
- Supply chain game theory network modeling under labor constraints: Applications to the Covid-19 pandemic
- Frontiers: Algorithmic Collusion: Supra-competitive Prices via Independent Algorithms
- GAME THEORY AND ARTIFICIAL INTELLIGENCE COURSE DATE: FEBRUARY 1999
- An investigation into the application of genetic programming to combinatorial game theory
- Algorithmic monoculture and social welfare
- Remedies for algorithmic tacit collusion
- Proof of game (PoG): a proof of work (PoW)’s extended consensus algorithm for healthcare application
- Learning in Matrix Games can be Arbitrarily Complex
- Distributed cooperative control algorithm for optimal power sharing for AC microgrids using Cournot game theory
- Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness
- Equilibrium Learning in Combinatorial Auctions: Computing Approximate Bayesian Nash Equilibria via Pseudogradient Dynamics
- A Game-Theoretic Approach for Hierarchical Policy-Making
- Tracking Truth by Weighting Proxies in Liquid Democracy
- A game-theoretical model of the landscape theory
- Using Simulation to Understand and Respond to Real World and Cyber Crises
- Explainable AI and Adoption of Algorithmic Advisors: an Experimental Study
- Liquid democracy: An algorithmic perspective
- Trusted Cooperative E-Learning Service Deployment Model in Multi-Cloud Environment
- Textual machine learning: An application to computational economics research
- Pure nash equilibria and best-response dynamics in random games
- Sizing of electric vehicle charging stations with smart charging capabilities and quality of service requirements
- Lane and speed allocation mechanism for autonomous vehicle agents on a multi-lane highway
- The Notion of Fair Division in Negotiations
- Tractable finite approximation of continuous noncooperative games on a product of linear strategy functional spaces
- Pricing policy on a dual competitive channel for a green product under fuzzy conditions
- Average-case approximation ratio of scheduling without payments
- Aiming for Half Gets You to the Top: Winning PowerTAC 2020
- Towards foundations of categorical cybernetics
- Ranking institutions within a discipline: The steep mountain of academic excellence
- Planning for 5G: A Network Perspective on Quality of Experience
- An evolutionary game approach to IoT task offloading in fog-cloud computing
- Equilibrium Inefficiency and Computation in Cost-Sharing Games in Real-Time Scheduling Systems
- Preserving Privacy of Smart Meter Data in a Smart Grid Environment
- A Bayesian Monte Carlo method for computing the Shapley value: Application to weighted voting and bin packing games
- Searching with Opponent-Awareness
- Price Discrimination-Driven Algorithmic Collusion: Platforms for Durable Cartels
- Nash social welfare approximation for strategic agents
- Differential evolution particle swarm optimization algorithm based on good point set for computing Nash equilibrium of finite noncooperative game [J]
- Optimal supervisory control with mean payoff objectives and under partial observation
- Mechanism design
- A multilinear sampling algorithm to estimate shapley values
- Algorithmic collusion with imperfect monitoring
- Budget-Management Strategies in Repeated Auctions
- A literature review and statistical analysis of photovoltaic-wind hybrid renewable system research by considering the most relevant 550 articles: An upgradable matrix …
- Reaching consensus under a deadline
- Magnitude of inefficiency
- On Nash Equilibria in Non-Cooperative All-Optical Networks
- Network pricing: How to induce optimal flows under strategic link operators
- On Computational Hardness of Multidimensional Subtraction Games
- ICT’s Wide Web: a System-Level Analysis of ICT’s Industrial Diffusion with Algorithmic Links
- Worker Collaborative group estimation in spatial crowdsourcing
- Bounded risk-sensitive markov games: Forward policy design and inverse reward learning with iterative reasoning and cumulative prospect theory
- Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond
- Globally Emergent Behavioral Patterns, as a Result of Local Interactions in Strongly Interrelated Individuals
- Fairness Considerations for Enhanced Team Collaboration
- The minimum tollbooth problem in atomic network congestion games with unsplittable flows
- Tight efficiency lower bounds for strategy-proof mechanisms in two-opposite-facility location game
- From Learning with Partial Information to Bandits: Only Strict Nash Equilibria are Stable
- The fair division of hereditary set systems
- Algorithmic conservation in a changing climate
- Game Design Tactics for Teaching Technical Communication in Online Courses
- “Stay nearby or get checked”: A Covid-19 control strategy
- Efficient computation and analysis of distributional Shapley values
- Explainable AI Models of Stock Crashes: A Machine-Learning Explanation of the Covid March 2020 Equity Meltdown
- The sample complexity of up-to-e multi-dimensional revenue maximization
- Nash Equilibria in Finite-Horizon Multiagent Concurrent Games
- To live in their utopia: Why algorithmic systems create absurd outcomes
- Blockchain incentivized data forwarding in MANETs: Strategies and challenges
- Joint Content Sharing and Incentive Mechanism for Cache-Enabled Device-to-Device Networks
- A trustworthy human–machine framework for collective decision making in food–energy–water management: The role of trust sensitivity
- The biography of an algorithm: Performing algorithmic technologies in organizations
- Full surplus extraction from samples
- Who is pulling the strings in the platform economy? Accounting for the dark and unexpected sides of algorithmic control
- A Price-Based Iterative Double Auction for Charger Sharing Markets
- Scaling up Mean Field Games with Online Mirror Descent
- Shapley flow: A graph-based approach to interpreting model predictions
- A consensus mechanism based on multi-round concession negotiation
- A biological perspective on evolutionary computation
- Boltzmann Distributed Replicator Dynamics: Population Games in a Microgrid Context
- Gerrymandering on graphs: Computational complexity and parameterized algorithms
- Welfare guarantees in Schelling segregation
- A Decentralized Cluster Formation Containment Framework for Multirobot Systems
- On Evaluating Correctness of Explainable AI Algorithms: an Empirical Study on Local Explanations for Classification
- Multiple-source adaptation theory and algorithms
- Serious Game Top Eleven as an Educational Tool in Sports Economics
- Catch-Up and Convergence: Mechanism Design for Economic Development
- Multi-issue negotiation with deep reinforcement learning
- Swarm intelligence and cyber-physical systems: concepts, challenges and future trends
- Space Object Tracking Uncertainty Analysis with the URREF Ontology
- The demand query model for bipartite matching
- Contracting for Algorithmic Accountability
- A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning
- Strategyproof mechanisms for 2-facility location games with minimax envy
- Swarm intelligence for self-organized clustering
- Fixed point networks: Implicit depth models with jacobian-free backprop
- Minimax Group Fairness: Algorithms and Experiments
- Invariant policy optimization: Towards stronger generalization in reinforcement learning
- Mechanism design for fair and efficient dso flexibility markets
- Neighborhood-level coordination and negotiation techniques for managing demand-side flexibility in residential microgrids
- Evolution Strategies for Approximate Solution of Bayesian Games
- Dispersion for Intervals: A Geometric Approach*
- Secure Artificial Intelligence of Things for Implicit Group Recommendations
- Last-Iterate Convergence Rates for Min-Max Optimization: Convergence of Hamiltonian Gradient Descent and Consensus Optimization
- Stochastic Dynamic Games in Belief Space
- Bridging the user equilibrium and the system optimum in static traffic assignment: how the cooperation among drivers can solve the congestion problem in city …
- A truthful budget feasible mechanism for IoT-based participatory sensing with incremental arrival of budget
- CGA: A new feature selection model for visual human action recognition
- The moral economy of the algorithmic crowd: Possessive collectivisim and techno-economic rentiership
- Shapley values for feature selection: the good, the bad, and the axioms
- An incentive-compatible rational secret sharing scheme using blockchain and smart contract
- Egalitarian Judgment Aggregation
- Individual Explanations in Machine Learning Models: A Survey for Practitioners
- Epistemic values in feature importance methods: Lessons from feminist epistemology
- Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications
- Exact asymptotic characterisation of running time for approximate gradient descent on random graphs
- Survey on blockchain based smart contracts: Technical aspects and future research
- Multilevel approaches for the critical node problem
- Smart voting
- Learning competitive equilibria in noisy combinatorial markets
- Reward Is Enough
- Competition for medical supplies under stochastic demand in the Covid-19 pandemic: A Generalized Nash Equilibrium framework
- A Brief Survey of Associations Between Meta-Learning and General AI
- Bribery as a measure of candidate success: Complexity results for approval-based multiwinner rules
- Integrating media selection and media effects using decision theory
- Hourly performance forecast of a dew point cooler using explainable Artificial Intelligence and evolutionary optimisations by 2050
- Growing algorithmic governmentality: Interrogating the social construction of trust in precision agriculture
- A cost-beneficial area-partition-involved collaborative patrolling game in a large-scale chemical cluster
- Bid Prediction in Repeated Auctions with Learning
- Deterring Algorithmic Manipulation
- Algorithmic Bias in Education
- On the convexity of independent set games
- On the influence maximization problem and the percolation phase transition
- Robust power management via learning and game design
- Contextualized mobile game-based learning application for computing education
- Cryptocurrencies
- Modified schelling games
- When is a Monotone Function Cyclically Monotone?
- Limit Theorems for Default Contagion and Systemic Risk
- Algorithmic surveillance in the gig economy: The organization of work through Lefebvrian conceived space
- Fairness Perceptions of Algorithmic Decision-Making: A Systematic Review of the Empirical Literature
- Developing a kindergarten computational thinking assessment using evidence-centered design: the case of algorithmic thinking
- Efficient black-box reductions for separable cost sharing
- Platform playbook: a typology of consumer strategies against algorithmic control in digital platforms
- Ready Or Not, Here I Come!
- Simple and efficient budget feasible mechanisms for monotone submodular valuations
- The ethics of algorithms: key problems and solutions
- Continuous decisions
- Using Inverse Optimization to Learn Cost Functions in Generalized Nash Games
- The Smoothed Possibility of Social Choice
- Survey on multi-access edge computing security and privacy
- On the tractability of shap explanations
- Strategic Defense against Stealthy Link Flooding Attacks: A Signaling Game Approach
- Algorithmic stability for adaptive data analysis
- Numerical linear algebra and optimization
- Reliable traffic monitoring mechanisms based on blockchain in vehicular networks
- The price of defense
- Speculating on steam: consumption in the gamblified platform ecosystem
- The labour of visual authenticity on social media: Exploring producers’ and audiences’ perceptions on Instagram
- Probabilistic Inference of Winners in Elections by Independent Random Voters
- Aggregating multiple ordinal rankings in engineering design: the best model according to the Kendall’s coefficient of concordance
- The complexity of computing a (quasi-) perfect equilibrium for an n-player extensive form game
- Nash equilibria on (un) stable networks
- Ordinal approximation for social choice, matching, and facility location problems given candidate positions
- Caching efficiency maximization for device-to-device communication networks: A recommend to cache approach
- Domination games played on graphs
- FairMM: A Fast and Frontrunning-Resistant Crypto Market-Maker
- Beyond submodular maximization via one-sided smoothness
- Dpos: decentralized, privacy-preserving, and low-complexity online slicing for multi-tenant networks
- Coordination of autonomous vehicles: taxonomy and survey
- A survey on mixed-integer programming techniques in bilevel optimization
- Efficient estimation of Pauli observables by derandomization
- Best-of-Both-Worlds Fair-Share Allocations
- Competitive equilibrium with indivisible goods and generic budgets
- AucSwap: A Vickrey auction modeled decentralized cross-blockchain asset transfer protocol
- Value of information in bayesian routing games
- Long-Term Behavior of Dynamic Equilibria in Fluid Queuing Networks
- A European Emissions Trading System Powered by Distributed Ledger Technology: An Evaluation Framework
- Markets for public decision-making
- Scientific and methodological support for teachers in the context of gamification in mathematics study in the Russian system of additional education
- Explainable Artificial Intelligence Approaches: A Survey
- Online Learning Algorithms
- A Preliminary Exploration of Principles of General Social Science
- From data to actions in intelligent transportation systems: A prescription of functional requirements for model actionability
- From gaming to computational thinking: An adaptive educational computer game-based learning approach
- Integrating Machine Learning, Radio Frequency Identification, and Consignment Policy for Reducing Unreliability in Smart Supply Chain Management
- Platform Precarity: surviving algorithmic insecurity in the gig economy
- CGP: Cluster-based gossip protocol for dynamic resource environment in cloud
- Partizan Subtraction Games
- Algorithmic Approaches to Inventory Management Optimization
- Equilibria in multi-player multi-outcome infinite sequential games
- The norms of algorithmic credit scoring
- Looking for Trouble: Analyzing Classifier Behavior via Pattern Divergence
- Did social interactions shape the reflective mind?
- Nash equilibria for information diffusion games on weighted cycles and paths
- Disaster City Digital Twin: A vision for integrating artificial and human intelligence for disaster management
- Bridging marketing theory and big data analytics: The taxonomy of marketing attribution
- The complexity of contracts
- Acyclic Mechanism Design for Freight Consolidation
- Algorithmic leadership and algorithmic management: a systematic literature review
- Covert Embodied Choice: Decision-Making and the Limits of Privacy Under Biometric Surveillance
- Online Combinatorial Auctions
- An asynchronous distributed and scalable generalized Nash equilibrium seeking algorithm for strongly monotone games
- Supplier selection: comparison of DEA models with additive and reciprocal data
- Algorithms for Persuasion with Limited Communication
- Bayesian Persuasion in Sequential Decision-Making
- Optimal Enterprise: Structures, Processes and Mathematics of Knowledge, Technology and Human Capital
- An efficient chemical reaction algorithm for multi-objective combinatorial bi-level optimization
- Two distinct and separable processes underlie individual differences in algorithm adherence: Differences in predictions and differences in trust thresholds
- Computation of higher order Lie derivatives on the Infinity Computer
- An overview of deep reinforcement learning for spectrum sensing in cognitive radio networks
- The promise and peril of automated negotiators
- D2D Mobile Relaying Meets NOMA—Part II: A Reinforcement Learning Perspective
- Pareto efficient combinatorial auctions: dichotomous preferences without quasilinearity
- Co-op split screen game with Unity 3d and Cinemachine plugin
- Working in the digitized economy: HRM theory & practice
- Generalization bounds for stochastic saddle point problems
- Categorical foundations of gradient-based learning
- Improving the prediction accuracy of low back pain using machine learning through data pre-processing techniques
- Fair multi-cake cutting
- Interpretable Machine Learning Model for Locoregional Relapse Prediction in Oropharyngeal Cancers
- Natural Oligopoly Responses, Repeated Games, and Coordinated Effects in Merger Analysis: A Perspective and Research Agenda
- Semiautomatic construction of video game design prototypes with MaruGen
- A novel enhanced naïve bayes posterior probability (ENBPP) using machine learning: Cyber threat analysis
- DNN2: A hyper-parameter reinforcement learning game for self-design of neural network based elasto-plastic constitutive descriptions
- Nash-equilibrium algorithm and incentive protocol for a decentralized decision and scheduling problem in sustainable electroplating plants
- Blockchain, Bitcoin, and ICOs: a review and research agenda
- Artificial Intelligence and Pricing: The Impact of Algorithm Design
- Efficient methods for structured nonconvex-nonconcave min-max optimization
- A review of different techniques in cloud computing
- A unified framework for multistage and multilevel mixed integer linear optimization
- Towards an algorithmic synthesis of thermofluid systems
- Mapping Internet celebrity on TikTok: Exploring attention economies and visibility labours
- Participatory budgeting: Models and approaches
- Collaboration of Visual Intelligence Between Human and Machinic Actors in Design Processes
- Mitigating Negative Side Effects via Environment Shaping
- Cooperative games on simplicial complexes
- Extragradient and Extrapolation Methods with Generalized Bregman Distances for Saddle Point Problems
- A parameterized perspective on protecting elections
- Contracting in the Age of Smart Contracts
- Computing approximate Nash equilibria in network congestion games with polynomially decreasing cost functions
- Polarization and Persuasion as Opposite Integration Strategies in Collective Models
- An Auction Algorithm for Bipartite Matching in Streaming and Massively Parallel Computation Models
- iEnhancer-XG: interpretable sequence-based enhancers and their strength predictor
- A Nature-Inspired Solution to Managing Activities in the Cloud with Equal Time by Using Machine Learning Approach
- The effect of strategic noise in linear regression
- The value of randomized solutions in mixed-integer distributionally robust optimization problems
- Morality in the age of artificially intelligent algorithms
- Lightweight network interface selection for reliable communications in multi-technologies wireless sensor networks
- Bernoulli Factories and Black-box Reductions in Mechanism Design
- A Practical Guide to Multi-Objective Reinforcement Learning and Planning
- Management of cloud resources and social change in a multi-tier environment: A novel finite automata using ant colony optimization with spanning tree
- An Agent-Based Cloud Service Negotiation in Hybrid Cloud Computing
- A unified analysis of first-order methods for smooth games via integral quadratic constraints
- Optimal and quantized mechanism design for fresh data acquisition
- Computability, Complexity, Consistency and Controllability: A Four C’s Framework for cross-disciplinary Ethical Algorithm Research
- Computational Antitrust: An Introduction and Research Agenda
- Coalition-based Task Assignment in Spatial Crowdsourcing
- A Valid and Reliable Scale for Developing Programming-Oriented Computational Thinking
- The importance of memory for price discovery in decentralized markets
- Approachability with constraints
- Sok: Decentralized finance (defi)
- Information theory inspired optimization algorithm for efficient service orchestration in distributed systems
- Intermediation and price volatility
- A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum
- The price of fairness for indivisible goods
- Imperial play
- Meta-heuristic algorithms for resource Management in Crisis Based on OWA approach
- Pathfinding and Navigation
- A Differentially Private Incentive Design for Traffic Offload to Public Transportation
- A Survey of Deep RL and IL for Autonomous Driving Policy Learning
- Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directions
- Causality-Based Game Solving
- Communication consumes 35 times more energy than computation in the human cortex, but both costs are needed to predict synapse number
- On evolutionary game of dynamic devices in NOMA-based IoT networks
- Small one-dimensional Euclidean preference profiles
- On Incentive Compatibility in Dynamic Mechanism Design With Exit Option in a Markovian Environment
- Emergent actors in world politics
- Facility’s Perspective to Fair Facility Location Problems
- The simulation manifesto: The limits of brute-force empiricism in geopolitical forecasting
- Supply chain disruptions and resilience: a major review and future research agenda
- Fast Convergence of Fictitious Play for Diagonal Payoff Matrices
- A systematic mapping study on agent mining
- Preference elicitation for participatory budgeting
- Improving performance of deep learning models with axiomatic attribution priors and expected gradients
- Walrasian equilibria from an optimization perspective: A guide to the literature
- The role of visuospatial thinking in students’ predictions of molecular geometry
- A single-timescale stochastic bilevel optimization method
- Towards the successful game-based learning: Detection and feedback to misconceptions is the key
- Matching and pricing in ride-sharing: Optimality, stability, and financial sustainability
- The Gauss–Seidel method for generalized Nash equilibrium problems of polynomials
- Family firms are indeed better places to work than non-family firms! Socioemotional wealth and employees’ perceived organizational caring
- Fixed point strategies in data science
- Confounding complexity of machine action: a hobbesian account of machine responsibility
- Uniform orderings for generalized coloring numbers
- Dummy players and the quota in weighted voting games
- Preference learning along multiple criteria: A game-theoretic perspective
- TODIM dynamic emergency decision-making method based on hybrid weighted distance under probabilistic hesitant fuzzy information
- A Simple Mechanism for a Budget-Constrained Buyer
- Popular matchings in complete graphs
- Charting the design and analytics agenda of learnersourcing systems
- Optimization on data offloading ratio of designed caching in heterogeneous mobile wireless networks
- A Coxeter spectral classification of positive edge-bipartite graphs II. Dynkin type Dn
- Identifying molecules as biosignatures with assembly theory and mass spectrometry
- Efficient, fair, and incentive-compatible healthcare rationing
- A novel centralized cloud information accountability integrity with ensemble neural network based attack detection approach for cloud data
- CoachNet: An Adversarial Sampling Approach for Reinforcement Learning
- On the possibilities of a political theory of algorithms
- Opt-ACM: An Optimized load balancing based Admission Control Mechanism for Software Defined Hybrid Wireless based IoT (SDHW-IoT) network
- The Black Box on Trial: The Impact of Algorithmic Opacity on Fair Trial Rights in Criminal Proceedings
- Energy and cost trade-off for computational tasks offloading in mobile multi-tenant clouds
- Automata-based Controller Synthesis for Stochastic Systems: A Game Framework via Approximate Probabilistic Relations
- The natural language for artificial intelligence
- Electric demand response and bounded rationality: mean-field control for large populations of heterogeneous bounded-rational agents
- An incentive mechanism for federated learning in wireless cellular network: An auction approach
- Artificial intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry
- Stable Matching based Resource Allocation for Service Provider’s Revenue Maximization in 5G Networks
- Influence maximization on social networks: a study
- The Tractability of SHAP-Score-Based Explanations over Deterministic and Decomposable Boolean Circuits
- Scalable optimal online auctions
- Exponential lower bounds for planning in mdps with linearly-realizable optimal action-value functions
- The computational complexity of understanding binary classifier decisions
- A review on resource allocation techniques in D2D communication for 5G and B5G technology
- The Biggest Bluff: How I Learned to Pay Attention, Master Myself, and Win
- Acceptable solutions and backward errors for tensor complementarity problems
- Fast algorithms for rank-1 bimatrix games
- Editorial (15.4): Human interaction dynamics (HID)
- The Sharing Economy: Rhetoric and Reality
- Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising
- Interpretable Machine Learning with Python: Learn to build interpretable high-performance models with hands-on real-world examples
- Toward an End-to-End Sociology of 21st-Century Machine Learning
- Larger Corner-Free Sets from Better NOF Exactly- Protocols
- ALICIA: Applied Intelligence in blockchain based VANET: Accident Validation as a Case Study
- Fair division of mixed divisible and indivisible goods
- Communication-efficient and distributed learning over wireless networks: Principles and applications
- Dynamic clustering analysis for driving styles identification
- Analysing the restricted assignment problem of the group draw in sports tournaments
- Optimization of battery swapping infrastructure for e-commerce drone delivery
- On the validity of machine learning-based Next Generation Science Assessments: A validity inferential network
- Fine-grained view on bribery for group identification
- Dynamic decision making under ambiguity: An experimental investigation
- Placement Optimization in Refugee Resettlement
- Equilibrium modelling
- The Shadowban Cycle: an autoethnography of pole dancing, nudity and censorship on Instagram
- Guidelines for Responding to COVID-19 Pandemic: Best Practices, Impacts, and Future Research Directions
- Mathematical optimization in classification and regression trees
- A Near-Optimal Bidding Strategy for Real-Time Display Advertising Auctions
- Proof of the theory-to-practice gap in deep learning via sampling complexity bounds for neural network approximation spaces
- Fuel Cell Electric Vehicles—A Brief Review of Current Topologies and Energy Management Strategies
- Coalitional predictive control: Consensus-based coalition forming with robust regulation
- Did the Cold War Produce Development Clusters in Africa?
- Digital Image Noise Estimation Using DWT Coefficients
- Public Value and the Digital Economy
- A theory of multiple-source adaptation with limited target labeled data
- Local and Global Uniform Convexity Conditions
- Conclusion: Theorizing from Multidisciplinary Perspectives on the Design of Blockchain and Distributed Ledger Systems (Part 2)
- Order, experience, and critique: The phenomenological method in political and legal theory
- MPResiSDN: Multipath resilient routing scheme for SDN-enabled smart cities networks
- Statistical guarantees for generative models without domination
- Evaluating economic opportunities for product recycling via the Sherwood principle and machine learning
- Sdss-v algorithms: Fast, collision-free trajectory planning for heavily overlapping robotic fiber positioners
- Foundations and Applications of Complexity Economics
- Postdigital humans: Transitions, transformations and transcendence
- Toward a generalized theory comprising digital, neuromorphic, and unconventional computing
- Core Challenges of Social Robot Navigation: A Survey
- Modeling of unforced demand response programs
- Compositional abstraction-based synthesis for interconnected systems: An approximate composition approach
- Towards federated learning in uav-enabled internet of vehicles: A multi-dimensional contract-matching approach
- The minerl 2020 competition on sample efficient reinforcement learning using human priors
- Optimal Signaling with Mismatch in Priors of an Encoder and Decoder
- Towards a utility theory of privacy and information sharing and the introduction of hyper-hyperbolic discounting in the digital big data age
- Optimal Pricing for MHR and ?-regular Distributions
- Two-facility location games with minimum distance requirement
- A Novel Framework for Threat Analysis of Machine Learning-based Smart Healthcare Systems
- Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts
- Operationalizing Human-Centered Perspectives in Explainable AI
- On Satisficing in Quantitative Games
- The CARE theory of dignity amid personal data digitalization
- Rhetoric and frame analysis of ExxonMobil’s climate change communications
- Making sense of algorithms: Relational perception of contact tracing and risk assessment during COVID-19
- A Framework for Generalized Benders’ Decomposition and Its Application to Multilevel Optimization
- SoK: Oracles from the Ground Truth to Market Manipulation
- Future Networks: Overview of Optimization Problems in Decision-Making Procedures
- When Children Program Intelligent Environments: Lessons Learned from a Serious AR Game
- Precise Minimax Regret for Logistic Regression with Categorical Feature Values
- Analysis and application of vehicular ad hoc network as intelligent transportation system
- Optimal multipath routing for video transmission in VANETs
- International human migration networks under regulations
- DMRO: A Deep Meta Reinforcement Learning-based Task Offloading Framework for Edge-Cloud Computing
- Learning-Based Distributed Random Access for Multi-Cell IoT Networks with NOMA
- Combinatorial assortment optimization
- Is digital diplomacy an effective foreign policy tool? Evaluating India’s digital diplomacy through agenda-building in South Asia
- A conversation-based perspective for shaping ethical human–machine interactions: The particular challenge of chatbots
- Practical Efficient Regional Land-Use Planning Using Constrained Multi-Objective Genetic Algorithm Optimization
- Global solution of constrained min-max problems with inflationary differential evolution
- Toward a Theoretical Framework of Relational Maintenance in Computer-Mediated Communication
- Randomized algorithms for scientific computing (RASC)
- Metaheuristics: a comprehensive overview and classification along with bibliometric analysis
- Inequity-averse stochastic decision processes
- Revenue maximization in stackelberg pricing games: beyond the combinatorial setting
- The Effectiveness of Subsidies and Tolls in Congestion Games
- Convergence of Finite Memory Q-Learning for POMDPs and Near Optimality of Learned Policies under Filter Stability
- Are we preparing for a good AI society? A bibliometric review and research agenda
- Online learning via offline greedy algorithms: Applications in market design and optimization
- From machine ethics to computational ethics
- Group decision-making approach under multi (Q, N)-soft multi granulation rough model
- Online Learning of Facility Locations
- Arbeitsergebnisse und Konferenzteilnahmen
- A Federated Learning Framework for Nonconvex-PL Minimax Problems
- Information diffusion modeling and analysis for socially interacting networks
- Rational Rules: Towards a Theory of Moral Learning
- Beneficial and harmful explanatory machine learning
- Benders decomposition for competitive influence maximization in (social) networks
- [PS][PS] A Simple Model for the Motion of Frog Sperm
- Popular branchings and their dual certificates
- Utility-efficient differentially private K-means clustering based on cluster merging
- Blockchain and institutional complexity: an extended institutional approach
- Applying Learning Analytics to Detect Sequences of Actions and Common Errors in a Geometry Game
- Cognitive radio networks for green wireless communications: an overview
- Security as Socio-Technical Practice: Predictive Policing and (Non-) Automation
- Replaying Colonialism: Indigenous National Sovereignty and Its Limits in Strategic Videogames
- Kernel-based ANOVA decomposition and Shapley effects–Application to global sensitivity analysis
- Adversarial laws of large numbers and optimal regret in online classification
- Ethical Quantum Computing: A Roadmap
- Automated Mechanism Design for Classification with Partial Verification
- A survey of inverse reinforcement learning: Challenges, methods and progress
- The Oxford Handbook of Transnational Law
- Fuel Cell Electric Vehicles—A Brief Review of Current Topologies and Energy Management Strategies. Energies 2021, 14, 252
- Analyzing Urban Play through Wayfinder Live
- Privacy-preserving blockchain-based federated learning for traffic flow prediction
- Routing in wireless sensor networks using machine learning techniques: Challenges and opportunities
- Beating Greedy For Approximating Reserve Prices in Multi-Unit VCG Auctions
- Best influential spreaders identification using network global structural properties
- Generative Adversarial Networks (GANs) Challenges, Solutions, and Future Directions
- A kernel-based approach to non-stationary reinforcement learning in metric spaces
- Artificially intelligent government: A review and agenda
- A survey on analog models of computation
- Leafy automata for higher-order concurrency.
- A simple and approximately optimal mechanism for a buyer with complements
- Social gamers’ everyday (in) visibility tactics: playing within programmed constraints
- A Remarkable Equivalence between Non-Stationary Precise and Stationary Imprecise Uncertainty Models in Computable Randomness
- On interpretability of artificial neural networks: A survey
- Artificial intelligence governance under change: Foundations, facets, frameworks
- Progresses and Challenges in Link Prediction
- Towards intelligent virtual resource allocation in UAVs-assisted 5G networks
- Coevolution in Economic Systems
- The basics of machine learning: strategies and techniques
- The auditing imperative for automated hiring
- On the Stackelberg knapsack game
- Steganographic visual story with mutual-perceived joint attention
- Gathering Self-Report Data in Games Through NPC Dialogues: Effects on Data Quality, Data Quantity, Player Experience, and Information Intimacy
- A review of applications of animal-inspired evolutionary algorithms in reservoir operation modelling
- Artificial Intelligence as an Anti-Corruption Tool (AI-ACT)–Potentials and Pitfalls for Top-down and Bottom-up Approaches
- Mapping Seasonal Agricultural Land Use Types Using Deep Learning on Sentinel-2 Image Time Series
- Fifty years of information management research: A conceptual structure analysis using structural topic modeling
- EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage …
- Popularity, mixed matchings, and self-duality
- Equilibrium strategies for multiple interdictors on a common network
- Lecture notes on descriptional complexity and randomness
- Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities
- Age of information: An introduction and survey
- Quantifying the importance of firms by means of reputation and network control
- Brain Activation Imaging in Emotional Decision Making and Mental Health: A Review—Part 2
- Hybrid gravitational search algorithm based model for optimizing coverage and connectivity in wireless sensor networks
- Computational Hardness of Collective Coin-Tossing Protocols
- One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning
- Explainable AI for tailored electricity consumption feedback–An experimental evaluation of visualizations
- Effective link prediction in multiplex networks: A TOPSIS method
- Conceptualizing the Experiential Affordances of Watching Online TV
- The effect of computational thinking skill program design developed according to interest driven creator theory on prospective teachers
- Ownership competence
- Cognitive Predictors of Precautionary Behavior During the COVID-19 Pandemic
- Opening-Welcome and Instructions
- Planetary Intelligence
- Unpacking the Expressed Consequences of AI Research in Broader Impact Statements
- Serious Game as Support for the Development of Computational Thinking for Children with Hearing Impairment
- Scoring run-off rules, single-peaked preferences and paradoxes of variable electorate
- FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval
- Telling stories in science: Feyerabend and thought experiments
- A survey of human judgement and quantitative forecasting methods
- Increasing fault tolerance ability and network lifetime with clustered pollination in wireless sensor networks
- A survey of consensus algorithms in public blockchain systems for crypto-currencies
- Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges
- Polyhedral value iteration for discounted games and energy games
- MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA
- Halma: Humanlike abstraction learning meets affordance in rapid problem solving
- Ordinal citizenship
- Entropic causal inference: Identifiability and finite sample results
- Requirements Identification for Real-Time Anomaly Detection in Industrie 4.0 Machine Groups: A Structured Literature Review
- Modular politics: Toward a governance layer for online communities
- Complexity of finding Pareto-efficient allocations of highest welfare
- Games with Strategic Substitutes
- Advancements in technology and digital media in tourism
- When the machine hails you, do you turn? Media orientations and the constitution of digital space
- The Noosphere
- Recent advances in fully dynamic graph algorithms
- Palindromes in finite groups and the Explorer-Director game
- Alcohol marketing in the era of digital media platforms
- For You, or For” You”? Everyday LGBTQ+ Encounters with TikTok
- Algorithms as mechanisms: the price of anarchy of relax and round
- Online Family Dispute Resolution: Evidence for Creating the Ideal People and Technology Interface
- A survey of data center consolidation in cloud computing systems
- System optimal routing of traffic flows with user constraints using linear programming
- I/O lower bounds for auto-tuning of convolutions in CNNs
- Maximizing positive influence in competitive social networks: A trust-based solution
- Complexity of Infinite-Domain Constraint Satisfaction
- Artificial Intelligence: A Child’s Play
- Mathematics and Dramaturgy in the Twentieth and Twenty-First Centuries
- Telecommunications network design: Technology impacts and future directions
- Differentially private double auction with reliability-aware in mobile crowd sensing
- A survey on the explainability of supervised machine learning
- Learning Convex Partitions and Computing Game-theoretic Equilibria from Best-response Queries
- Interpreting a recurrent neural network’s predictions of ICU mortality risk
- Persona 4.0
- “Dividing and conquering” and “caching” in molecular modeling
- Online Family Dispute Resolution
- An ethical decision-making framework with serious gaming: a smart water case study on flooding
- Postquantum common-cause channels: the resource theory of local operations and shared entanglement
- Improved MPC algorithms for edit distance and Ulam distance
- It takes two to tango: Statistical modeling and machine learning
- The Complexity of Pacing for Second-Price Auctions
- Do Abstractions Have Politics? Towards a More Critical Algorithm Analysis
- “Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI
- Access strategies for network caching
- Islands of (in) security in the Anthropocene
- Finite-sample analysis for decentralized batch multi-agent reinforcement learning with networked agents
- Subgame-perfect Equilibria in Mean-payoff Games
- Futures of artificial intelligence through technology readiness levels
- The Theory of Hash Functions and Random Oracles: An Approach to Modern Cryptography
- Non-stationary online learning with memory and non-stochastic control
- Multilinear polynomial systems: Root isolation and bit complexity
- Machinic Encounters: A Relational Approach to the Sociology of AI
- Provably Efficient Algorithms for Multi-Objective Competitive RL
- Philosophy of Education in a New Key: exploring new ways of teaching and doing ethics in education in the 21st century
- An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and Activists
- Unsupervised Learning Methods for Molecular Simulation Data
- Why is AI hard and Physics simple?
- Levels of biological plausibility
- Analyzing the Effect of Deceiving Agents in a System of Self-Driving Cars at an intersection-a computational model
- SecRET: Secure range-based localization with evidence theory for underwater sensor networks
- City intelligence for enhancing urban performance value: a conceptual study on data decomposition in smart cities
- The digital revolution of Earth-system science
- CEPRAN-cooperative energy efficient and priority based reliable routing protocol with network coding for WBAN
- Cyber-physical energy systems security: Threat modeling, risk assessment, resources, metrics, and case studies
- Rolling backwards can move you forward: on embedding problems in sparse expanders
- A survey on the explainability of supervised machine learning
- Incentivizing routing choices for safe and efficient transportation in the face of the COVID-19 pandemic
- Deep reinforcement learning for autonomous driving: A survey
- Nonuniform SINR+ Voronoi diagrams are effectively uniform
- Model-Free Deep Reinforcement Learning—Algorithms and Applications
- Discrete mathematics, Computer science, Logic, Proof 1, and their relationships
- Reduced demand uncertainty and the sustainability of collusion: How AI could affect competition
- ULPT: A User-Centric Location Privacy Trading Framework for Mobile Crowd Sensing
- The Computational Origin of Representation
- Towards a Robust and Trustworthy Machine Learning System Development
- Opaque updates
- Post-Human Futures: Human Enhancement, Artificial Intelligence and Social Theory
- Shapley–Snow Kernels, Multiparameter Eigenvalue Problems, and Stochastic Games
- EVERYTHING FLOWS: STUDYING CONTINUOUS SOCIOTECHNOLOGICAL TRANSFORMATION IN A FLUID AND DYNAMIC DIGITAL WORLD.
- A guided tour of ab initio nuclear many-body theory
- The world computer: Derivative conditions of racial capitalism
- Experimental design for regret minimization in linear bandits
- A polyhedral approach to bisubmodular function minimization
- Platform studies
- Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics
- Fuzzy multi-criteria decision-making: An entropy-based approach to assess tourism sustainability
- The Laplacian spectrum of large graphs sampled from graphons
- Approximability of all finite CSPs in the dynamic streaming setting
- Grouped Feature Importance and Combined Features Effect Plot
- The complexity of computational problems about Nash equilibria in symmetric win-lose games
- Electing a committee with dominance constraints
- Amortized Generation of Sequential Counterfactual Explanations for Black-box Models
- Uncertainty, risk and the use of algorithms in policy decisions: a case study on criminal justice in the USA
- On standard quadratic programs with exact and inexact doubly nonnegative relaxations
- Development of the Sci-math Sensemaking Framework: categorizing sensemaking of mathematical equations in science
- Machine learning in materials science: From explainable predictions to autonomous design
- Artificial intelligence and management: The automation–augmentation paradox
- Three ways to solve partial differential equations with neural networks—A review
- PoseBlocks: A Toolkit for Creating (and Dancing) with AI
- Learning programming by creating games through the use of structured activities in secondary education in Greece
- Artistoo, a library to build, share, and explore simulations of cells and tissues in the web browser
- Deceitful media: Artificial intelligence and social life after the Turing test
- The impact of transparent money flows: Effects of stablecoin transfers on the returns and trading volume of Bitcoin
- The computational thinking scale for computer literacy education
- Vector-based pedestrian navigation in cities
- Stochastic variance reduction for variational inequality methods
- Descriptive complexity, computational tractability, and the logical and cognitive foundations of mathematics
- Trust Your Data or Not—StQP Remains StQP: Community Detection via Robust Standard Quadratic Optimization
- Blockchain Governance: De Facto (x) or Designed?
- On the truth-convergence of open-minded Bayesianism
- Memory as a Computational Resource
- Platform mergers and antitrust
- Agent-Based Semiology: Optimizing Office Occupation Patterns with Agent-Based Simulations
- Digital labour: an empty signifier?
- Computational Approaches for De Novo Drug Design: Past, Present, and Future
- An evolutionary approach for generating software models: The case of Kromaia in Game Software Engineering
- The consequences of robotics programming education on computational thinking skills: An intervention of the Young Engineer’s Workshop (YEW)
- Two-Population Coevolutionary Algorithm with Dynamic Learning Strategy for Many-Objective Optimization
- A review of using machine learning approaches for precision education
- Fair Refinement for Asynchronous Session Types.
- Formative Potential of the Development and Assessment of an Educational Escape Room Designed to Integrate Music-Mathematical Knowledge
- Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature
- Maximising the circular economy and sustainability outcomes: An end-of-life tyre recycling outlets selection model
- Rethinking delusions: A selective review of delusion research through a computational lens
- Chemist Ex Machina: Advanced Synthesis Planning by Computers
- All-Addition Hyperspectral Compressed Sensing for Metasurface-Driven Miniaturized Satellite
- The Fine Line between Persuasion and Digital Addiction
- Developing Future Wearable Interfaces for Human-Drone Teams through a Virtual Drone Search Game
- Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing
- Antagonism beyond employment: how the ‘subordinated agency’of labour platforms generates conflict in the remote gig economy
- Human motion image detection and tracking method based on Gaussian mixture model and CAMSHIFT
- Postdigital: A Term That Sucks but Is Useful
- Choice modelling in the age of machine learning
- Evaluating the sunk cost effect
- Postdigital research measurement
- Continuous-time mean field games with finite state space and common noise
- Breathing biofeedback for police officers in a stressful virtual environment: challenges and opportunities
- Meta-learning in natural and artificial intelligence
- A Q-learning agent for automated trading in equity stock markets
- Learning to generate music with sentiment
- No-go Theorem for Acceleration in the Hyperbolic Plane
- Media technologies and virtual practices in creative approaches to educational training of a social worker
- Twenty years of continuous multiobjective optimization in the twenty-first century
- Lessons from online dispute resolution for dispute system design
- A survey on multi-task learning
- Platform governance and the rural–urban divide: Sellers’ responses to design change
- Radical restorative remedies for digital markets
- How much liquidity would a liquidity-saving mechanism save if a liquidity-saving mechanism could save liquidity? A simulation approach for Canada’s large-value …
- The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support
- Approximation Algorithms and Hardness for Strong Unique Games
- Autonomous driving ethics: From Trolley problem to ethics of risk
- Approximation algorithms for the dynamic k-level facility location problems
- Generating Fake Documents using Probabilistic Logic Graphs
- Orienting Esports
- Understanding the implications of artificial intelligence on field service operations: a case study of BT
- Data Fiduciary in Order to Alleviate Principal–Agent Problems in the Artificial Big Data Age
- Advances in core computer science-based technologies
- Heteroscedastic exponomial choice
- Shared decision-making and maternity care in the deep learning age: Acknowledging and overcoming inherited defeaters
- Countering misinformation and fake news through inoculation and prebunking
- The evolution of patterning during movement in a large-scale citizen science game
- A Machine Learning-Based System for Predicting Service-Level Failures in Supply Chains