Algorithmic Game Theory Research Projects Ideas, Topics, and Areas
Latest and New Algorithmic Game Theory Research Topics Areas and Ideas for writing the research paper.
- Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
- Improved algorithms for online load balancing
- Geometry of turbulent dissipation and the Navier–Stokes regularity problem
- Look Who’s Computing
- Robustness among multiwinner voting rules
- Digital Journalism: Toward a Theory of Journalistic Practice in the Twenty-First Century
- Learning to Optimize Molecular Geometries Using Reinforcement Learning
- Leveraging Public Data for Practical Private Query Release
- Deluca–A Differentiable Control Library: Environments, Methods, and Benchmarking
- Modeling defender-attacker problems as robust linear programs with mixed-integer uncertainty sets
- FEMINIST ENDURANCE
- Unlocking the payment experience: Future imaginaries in the case of digital payments
- Human-centered artificial intelligence in education: Seeing the invisible through the visible
- Deep learning the collisional cross sections of the peptide universe from a million experimental values
- CellEVAC: An adaptive guidance system for crowd evacuation through behavioral optimization
- Robot Gaze Can Mediate Participation Imbalance in Groups with Different Skill Levels
- Cost-aware Feature Selection for IoT Device Classification
- Complexity of linear relaxations in integer programming
- Organization Theory and the Resource-Based View of the Firm: The Great Divide
- Algorithms and conditional lower bounds for planning problems
- Can public service broadcasting survive Silicon Valley? Synthesizing leadership perspectives at the BBC, PBS, NPR, CPB and local US stations
- ” An Ideal Human” Expectations of AI Teammates in Human-AI Teaming
- Effects of group formation on student satisfaction and performance: a field experiment
- FinTech
- Player-AI Interaction: What Neural Network Games Reveal About AI as Play
- Leveraging machine learning in the global fight against money laundering and terrorism financing: An affordances perspective
- Understanding PPA-completeness
- Private Weighted Random Walk Stochastic Gradient Descent
- Stability in matching markets with complex constraints
- Highway Traffic Control via Smart e-Mobility–Part II: Dutch A13 Case Study
- A Fine-Grained Perspective on Approximating Subset Sum and Partition
- Parallel tensor factorization for relational learning
- Certification systems for machine learning: Lessons from sustainability
- Platform labour and contingent agency in China
- Parallelizing Thompson Sampling
- Applied risk analysis for guiding homeland security policy and decisions
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- Detecting argumentative discourse in online chat experiments
- Where I’m Coming from: Studying the Novelty of Immersive Algorithms
- Deep Reinforcement Learning with Quantum-inspired Experience Replay
- Optimisation of cyber insurance coverage with selection of cost effective security controls.
- Rational monism and rational pluralism
- Competition in pricing algorithms
- Understanding interorganizational big data technologies: how technology adoption motivations and technology design shape collaborative dynamics
- Cognitive Design for Artificial Minds
- Geometric stability classification: datasets, metamodels, and adversarial attacks
- Reconstructing and Improving Parity Game Solvers with Justifications
- Professional Development of Code and Robotics Teachers Through Small Private Online Course (SPOC): Teacher Centrality and Pedagogical Strategies for …
- The Mathematics of Mutually Alien Copies: from Gaussian Integrals to Inter-universal Teichmuller Theory (Inter-universal Teichmüller Theory Summit 2016)
- The limits of the imaginary: Challenges to intervening in future speculations of memory, data, and algorithms
- Combinatorial optimization and reasoning with graph neural networks
- Computational Power: The Impact of ICT on Law, Society and Knowledge
- Digital Technologies for Governance
- Belief movement, uncertainty reduction, and rational updating
- Towards Practical Credit Assignment for Deep Reinforcement Learning
- Explainable AI: A Review of Machine Learning Interpretability Methods
- Artificial intelligence in hypertension: seeing through a glass darkly
- Universality in phyllotaxis: a mechanical theory
- Intelligent Portfolio Theory and Strength Investing in the Confluence of Business and Market Cycles and Sector and Location Rotations
- Dissenting Social Work: Critical Theory, Resistance and Pandemic
- How the SP System May Promote Sustainability in Energy Consumption in IT Systems
- Artificial Intelligence in Education
- When machine learning meets privacy: A survey and outlook
- Governance for Digital Technologies
- The passivity of seeing: A Lacanian perspective on pornographic spectatorship in virtual reality
- The Philosophy of Ecology: An Introduction
- Smartphones and the neuroscience of mental health
- Imagining the commoning library: Alter-neoliberal pedagogy in informational capitalism
- Logic in Reality
- The sound of the future: listening as data and the politics of soundscape assessment
- On the applicability of machine learning fairness notions
- Reasoning about strategic voting in modal logic quickly becomes undecidable
- Benchmarking and survey of explanation methods for black box models
- Modeling the structural relationship among primary students’ motivation to learn artificial intelligence
- Artificial Intelligence and Technology in Teaching Negotiation
- Algorithmically solving the Tadpole Problem
- Dynamic decision making and value computations in medial frontal cortex
- The Production and Consumption of Social Media
- Living things are not (20th Century) machines: updating mechanism metaphors in light of the modern science of machine behavior
- Living systems are smarter bots: Slime mold semiosis versus AI symbol manipulation
- Complexity guarantees for an implicit smoothing-enabled method for stochastic MPECs
- The role of self-concept and motivation within the” computational thinking” approach to early computer science education
- Two-step machine learning enables optimized nanoparticle synthesis
- Delivering solidarity: Platform architecture and collective contention in China’s platform economy
- Rethinking Nudge: An Information-Costs Theory of Default Rules
- Role and place of Informatics in the training of future teachers of mathematics
- Designing a Smart Honey Supply Chain for Sustainable Development
- Bilevel programming solution algorithms for optimal price-bidding of energy producers in multi-period day-ahead electricity markets with non-convexities
- Humanly extended automation or the future of work seen through Amazon patents
- A Theory of Quasi-Experimental Evaluation of School Quality
- Getting the lay of the land in discrete space: A survey of metric dimension and its applications
- Efficient online linear optimization with approximation algorithms
- Reconstructing feedback representations in the ventral visual pathway with a generative adversarial autoencoder
- Bi-objective Robust Incentive Mechanism Design for Mobile Crowdsensing
- Off-the-shelf deep learning is not enough, and requires parsimony, Bayesianity, and causality
- Deep Learning in Science
- Global solutions of nonconvex standard quadratic programs via mixed integer linear programming reformulations
- Media literacy in action: Questioning the media
- Fairness-Aware Learning from Corrupted Data
- Exploring Continued Fractions: from the integers to solar eclipses
- Integrated task and motion planning
- [PS][PS] The third international Moscow–Vienna Workshop on Logic and Computation takes place at VA Steklov Mathematical In-stitute of Russian Academy of Sciences …
- Networked Systems
- Empirica: a virtual lab for high-throughput macro-level experiments
- Fair and Truthful Mechanism with Limited Subsidy
- Problematising reality: the promises and perils of synthetic media
- Out of the Dark Night
- Critical Perspectives on Governance Mechanisms for AI/ML Systems
- Characterizing marginalization and incremental operations on the Bayes tree
- ‘Next generation PE’? A sociomaterial approach to digitised health and physical education
- Crowdsourcing human common sense for quantum control
- Reinforcement learning approaches in social robotics
- What lurks beneath: the erotic charge of the Laplanchean unconscious and the digital object
- Research Programs Based on Machine Intelligence Games
- Making coherent senses of success in scientific modeling
- Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning
- Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications
- Multiple facility location games with envy ratio
- Spotify and the democratisation of music
- Hierarchical planning for resource allocation in emergency response systems
- Establishing a legal-ethical framework for quantum technology
- Optimal commissions and subscriptions in networked markets
- Learning Fair Representations for Recommendation: A Graph-based Perspective
- Seller-Pricing Frictions and Platform Remedies
- Reading, Fast and Slow
- Fastrack: a modular framework for real-time motion planning and guaranteed safe tracking
- Matching while learning
- New Frontiers of Robo-Advising: Consumption, Saving, Debt Management, and Taxes
- CAN ANTITRUST TRUST BLOCKCHAIN?
- Socially Responsible AI Algorithms: Issues, Purposes, and Challenges
- Conceptualizing science communication in flux—a framework for analyzing science communication in a digital media environment
- When hackers were heroes
- Reinforcement Learning and Evolutionary Equilibrium in Limit Order Markets
- Dialogue between smart education and classical education
- Perverse Downstream Consequences of Debunking: Being Corrected by Another User for Posting False Political News Increases Subsequent Sharing of Low Quality …
- Quantum Private Distributed Learning Through Blind Quantum Computing
- Unspeakable Conventionality: The Perversity of the Kindle
- Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions
- On the suitability, requisites, and challenges of machine learning
- Asynchronous session subtyping as communicating automata refinement
- Between a rock and a hard place: Freedom, flexibility, precarity and vulnerability in the gig economy in Africa
- On No-Sensing Adversarial Multi-player Multi-armed Bandits with Collision Communications
- CFIN: A community-based algorithm for finding influential nodes in complex social networks
- To” See” is to Stereotype: Image Tagging Algorithms, Gender Recognition, and the Accuracy-Fairness Trade-off
- Controlling synthetic characters in simulations: A case for cognitive architectures and Sigma
- Two-Fold Personalized Feedback Mechanism for Social Network Consensus by Uninorm Interval Trust Propagation
- Next-Generation Mass Spectrometry Metabolomics Revives the Functional Analysis of Plant Metabolic Diversity
- Creativity as potentially valuable improbable constructions
- The value investors: lessons from the world’s top fund managers
- Scaling laws for transfer
- A Survey on Embedding Dynamic Graphs
- Are Sports Bettors Biased toward Longshots, Favorites, or Both? A Literature Review
- Property Inference From Poisoning
- A meta-analysis of machine learning-based science assessments: factors impacting machine-human score agreements
- The hierarchical evolution in human vision modeling
- Hardness of an asymmetric 2-player Stackelberg network pricing game
- Financial Sequence Prediction Based on Swarm Intelligence Algorithms of Internet of Things
- NON-MALLEABLE CODES CLASSIFICATION
- Streaming Music: Unending Consumption Begins
- Predicting market movement direction for bitcoin: A comparison of time series modeling methods
- Governing Uncertainty or Uncertain Governance? Information Security and the Challenge of Cutting Ties
- Ontological transparency,(in) visibility, and hidden curricula: Critical pedagogy amidst contentious edtech
- Circumventing Section 230: Product Liability Lawsuits Threaten Internet Speech
- Learning to optimize: A primer and a benchmark
- Exact and approximation algorithms for the expanding search problem
- Pedagogy of teaching introductory text-based programming in terms of computational thinking concepts and practices
- Comment: Advances in Studying the Vocal Expression of Emotion: Current Contributions and Further Options
- Diverse Collections in Matroids and Graphs
- Solving high-order portfolios via successive convex approximation algorithms
- A multigrid/ensemble Kalman filter strategy for assimilation of unsteady flows
- Robust Maximum Entropy Behavior Cloning
- Provably secure signature-based anonymous user authentication protocol in an Internet of Things-enabled intelligent precision agricultural environment
- LociMotion: Towards Learning a Strong Authentication Secret in a Single Session
- Pervasive label errors in test sets destabilize machine learning benchmarks
- Skittles as Matterphor
- Limits of probabilistic safety guarantees when considering human uncertainty
- From n-grams to trees in Lindenmayer systems
- Estimating the impact of “humanizing” customer service chatbots
- Logic: A Study Guide
- Pre-service and in-service teachers’ interest, knowledge, and self-confidence in using educational robotics in learning activities
- Quantum computer systems for scientific discovery
- Surveying the Landscape of Ethics-Focused Design Methods
- THE ARTIFACTS OF ENTREPRENEURIAL PRACTICE
- Risk-Averse Bayes-Adaptive Reinforcement Learning
- A review of privacy-preserving federated learning for the Internet-of-Things
- A Challenging Future for the Latin American News Media Industry
- Cognitive biases in search: a review and reflection of cognitive biases in Information Retrieval
- People, Ideas, Milestones: A Scientometric Study of Computational Thinking
- Deep reinforcement learning based trading agents: Risk curiosity driven learning for financial rules-based policy
- Online Apprenticeship Learning
- Implementing responsibility centre management in a higher educational institution
- Updater-Extractor Architecture for Inductive World State Representations
- Tourism, big data, and a crisis of analysis
- Computational Psychiatry Needs Time and Context
- More than business: The de-politicisation and re-politicisation of TikTok in the media discourses of China, America and India (2017–2020)
- Program Schemata Technique Revised
- Quantum Machine-Learning for Eigenstate Filtration in Two-Dimensional Materials
- About using analog computers in today’s largest computational challenges
- Co-constitutive complexity
- Optimization Algorithms as Robust Feedback Controllers
- Semi-Supervised Aggregation of Dependent Weak Supervision Sources With Performance Guarantees
- The Dual Strategic Persona: Emotional Connection, Algorithms and the Transformation of Contemporary Online Reviewers
- Analyzing students’ computational thinking practices in a first-year engineering course
- AlphaGo’s Deep Play: Technological Breakthrough as Social Drama
- Neural networks with motivation
- The Effect of Outsourcing Pricing Algorithms on Market Competition
- Hillary’Story: Plutocrat’s Life in the Alt Reality World
- Opportunities for DOE National Laboratory-led QuantISED Experiments
- Inter-dependent lead-time and ordering cost reduction strategy: a supply chain model with quality control, lead-time dependent backorder and price-sensitive …
- Disordered mean field games
- Entrepreneurial ecosystems in an interconnected world: emergence, governance and digitalization
- Distributionally robust federated averaging
- An integrative definition and framework to study gossip
- Tourist Recommender Systems Based on Emotion Recognition—A Scientometric Review
- Rates of convergence for density estimation with GANs
- Sisyphus and Climate Change: Educating in the Context of Tragedies of the Commons
- Maximum rooted connected expansion
- Criminal Futures: Predictive Policing and Everyday Police Work
- ‘Shiny’Crypto Assets: A Systemic Look at Gold-Backed Cryptocurrencies during the COVID-19 Pandemic
- Faster First-Order Primal-Dual Methods for Linear Programming using Restarts and Sharpness
- Off-policy evaluation in infinite-horizon reinforcement learning with latent confounders
- Biomolecular modeling and simulation: a prospering multidisciplinary field
- Don’t Overthink It!: A computational study on the rationality of following your gut
- Big data analytics in the model “Cargo flow—transport and logistics infrastructure”
- Exploration and exploitation in complex search tasks: How feedback influences whether and where human agents search
- Would you notice if fake news changed your behavior? An experiment on the unconscious effects of disinformation
- The Paradox of Proof: A Semiotic and Language-Based Critique
- No App is an Island: Collective Action and Sustainable Development Goal-Sensitive Design.
- On the Computational Properties of Obviously Strategy-Proof Mechanisms
- Big Observation–Ein Vergleich moderner Beobachtungsformate am Beispiel von amtlicher Statistik und Recommendersystemen
- Digital Anthropology
- Mining the Relationship Between COVID-19 Sentiment and Market Performance
- A Bregman Learning Framework for Sparse Neural Networks
- Treewidth-Pliability and PTAS for Max-CSPs
- A concrete example of construct construction in natural language
- Assessment and Decision-Making in Universities: Analytics of the Administration-Staff Compromises
- Failure to replicate the benefit of approximate arithmetic training for symbolic arithmetic fluency in adults
- Optimal assignment of buses to bus stops in a loop by reinforcement learning
- Anticipation and the Dynamics of Expectations
- The adaptive nature of text-driven law
- What is it about humanity that we can’t give away to intelligent machines? A European perspective
- How to find a coin: propositional program logics made easy
- Trustworthy AI
- Graph coloring with no large monochromatic components
- Data-driven personas
- Fair refinement for asynchronous session types (extended version)
- The 2010 HMGs Ten Years Later: Where Do We Go From Here?
- Provably Safe PAC-MDP Exploration Using Analogies
- Fissured employment and network bargaining: Emerging employment relations dynamics in a contingent world of work
- Equilibrium signaling in spatially inhomogeneous diffusion and external forces
- Personalised Services in Social Situations: Principal? Agent Relationships in Account Sharing
- Translating Critique: Civil Society and the Politicisation of Financial Regulation
- Bayesian collective learning emerges from heuristic social learning
- From representation to mediation: a new agenda for conceptual modeling research in a digital world
- On the Control of Attentional Processes in Vision
- Proteoform characterization based on top-down mass spectrometry
- Challenging Social Media Threats using Collective Well-being Aware Recommendation Algorithms and an Educational Virtual Companion
- Closing the closed-loop distribution shift in safe imitation learning
- A simplex algorithm for rational cp-factorization
- PathBench: A Benchmarking Platform for Classical and Learned Path Planning Algorithms
- Regret-optimal measurement-feedback control
- Naturally occurring language as a source of evidence in suicide prevention
- The panoptic sort: A political economy of personal information
- Influencers and COVID-19: reviewing key issues in press coverage across Australia, China, Japan, and South Korea
- Secure prediction and assessment of sports injuries using deep learning based convolutional neural network
- Computational thinking in programming with scratch in primary schools: A systematic review
- Policy mirror descent for regularized reinforcement learning: A generalized framework with linear convergence
- When artificial intelligence meets educational leaders’ data-informed decision-making: A cautionary tale
- The effectiveness of partial pair programming on elementary school students’ computational thinking skills and self-efficacy
- Technology Transformation in Education: Consequences of Digitalization