AAAI

Association for the Advancement of Artificial Intelligence

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AAAI-20 Keywords

Submission Groups

Keywords and Subtopics

AI and the Web

  • AIW: AI for Data Analytics
  • AIW: AI for Multimedia and Multimodal Web Applications
  • AIW: AI for Web Services: Semantic Descriptions, Planning, Matching, and Coordination
  • AIW: AI for Web-Based Collaboration and Cooperation
  • AIW: Crowdsourcing Techniques and Methodologies
  • AIW: Enhancing Web Search and Information Retrieval
  • AIW: Exploiting Linked Open Data
  • AIW: Human Language Technologies for Web Systems, Including Text Summarization and Machine Translation
  • AIW: Intelligent User Interfaces for Web Systems
  • AIW: Knowledge Acquisition from the Web
  • AIW: Languages, Tools, and Methodologies for Representing, Managing, and Visualizing Semantic Web Data
  • AIW: Ontologies and the Web: Creation, Extraction, Evolution, Mapping, Merging, and Alignment; Tags and Folksonomies
  • AIW: Question Answering on the Web
  • AIW: Recognizing Web Spam Such as Link Farms and Splogs
  • AIW: Representing, Reasoning, and Using Provenance, Trust, Privacy, and Security on the Web
  • AIW: Searching, Querying, Visualizing, and Interpreting the Semantic Web
  • AIW: Social Networking and Community Identification
  • AIW: Web Personalization and User Modeling
  • AIW: Web-Based Opinion Extraction and Trend Spotting
  • AIW: Web-Based Recommendation Systems

Applications

  • APP: Natural Sciences
  • APP: Art and Music
  • APP: Biomedical/Bioinformatics/Medicine
  • APP: Computational Social Science
  • APP: Computer-Aided Education
  • APP: Economic/Financial
  • APP: Energy
  • APP: Entertainment
  • APP: Environmental
  • APP: Game Playing
  • APP: Humanities
  • APP: Intelligent User Interfaces
  • APP: Marketing
  • APP: Mobility
  • APP: Networks
  • APP: Philosophical and Ethical Issues
  • APP: Security and Privacy
  • APP: Social Networks
  • APP: Transportation
  • APP: Web
  • APP: Other Applications

Cognitive Modeling

  • CM: Adaptive Behavior
  • CM: Agent Architectures
  • CM: Bayesian Learning
  • CM: Cognitive Architectures
  • CM: Neural Spike Coding
  • CM: Simulating Humans
  • CM: Symbolic AI

Cognitive Systems

  • CS: Conceptual Inference and Reasoning
  • CS: Introspection and Meta-Cognition
  • CS: Memory Storage And Retrieval
  • CS: Social Cognition And Interaction
  • CS: Structural Learning And Knowledge Capture

Computational Sustainability

  • CSUS: Control And Optimization Of Dynamic And Spatiotemporal Systems
  • CSUS: Modeling And Control Of Complex High-Dimensional Systems
  • CSUS: Modeling And Prediction Of Dynamic And Spatiotemporal Phenomena And Systems
  • CSUS: Modeling the Interactions Of Agents With Different And Often Conflicting Interests
  • CSUS: Network Modeling, Prediction, And Optimization
  • CSUS: Sensor Networks for Monitoring Environments
  • CSUS: Support for Public Engagement And Decision Making By the Public

Constraint Satisfaction and Optimization

  • CSO: Constraint Learning and Acquisition
  • CSO: Constraint Optimization
  • CSO: Constraint Programming
  • CSO: Constraint Satisfaction
  • CSO: Distributed CSP/Optimization
  • CSO: Global Constraints
  • CSO: Hybrid Optimization
  • CSO: Machine Learning and Optimization
  • CSO: Satisfiability
  • CSO: Satisfiability Modulo Theories
  • CSO: Search
  • CSO: Solvers and Tools
  • CSO: Constraint Satisfaction and Optimization (General/other)

Game Playing and Interactive Entertainment

  • GPIE: General Game Playing
  • GPIE: Game Design
  • GPIE: Production and Authoring Tools
  • GPIE: Storytelling
  • GPIE: Autonomous Characters, NPCs, and Virtual Humans
  • GPIE: Procedural Content Generation
  • GPIE: Computational Creativity and Generative Art
  • GPIE: Games for Impact

Game Theory and Economic Paradigms

  • GTEP: Auctions and Market-Based Systems
  • GTEP: Game Theory
  • GTEP: Game-Theoretic Mechanism Design of Incentives for Motivation and Honest Reporting
  • GTEP: Negotiation and Contract-Based Systems
  • GTEP: Social Choice / Voting
  • GTEP: Adversarial Learning
  • GTEP: Coordination and Collaboration
  • GTEP: Equilibrium
  • GTEP: Opponent Modeling
  • GTEP: Imperfect Information

Heuristic Search and Optimization

  • HSO: Distributed Search
  • HSO: Evaluation and Analysis
  • HSO: Heuristic Search
  • HSO: Metareasoning and Metaheuristics
  • HSO: Search (General/Other)

Human-AI Collaboration

  • HAC: Communication Protocols
  • HAC: Human-Agent Negotiation
  • HAC: Human-Aware Planning and Behavior Prediction
  • HAC: Human Computation
  • HAC: Human-in-the-loop Planning/Learning
  • HAC: Human-Robot/Agent Interaction
  • HAC: Planning and Decision Support for Human-Machine Teams
  • HAC: Teamwork, Team formation
  • HAC: Trustable and Explainable AI

Humans and AI

  • HAI: Brain-Sensing and Analysis
  • HAI: Communication Protocols
  • HAI: Human-Computer Interaction
  • HAI: Interaction Techniques and Devices
  • HAI: Language Acquisition
  • HAI: Learning Human Values and Preferences
  • HAI: Understanding People, Theories, Concepts and Methods
  • HAI: User Experience and Usability
  • HAI: Voting

Human Computation and Crowd Sourcing

  • HCC: Abstraction of Human Computation Tasks into Taxonomies of Mechanisms
  • HCC: Active Learning from Imperfect Human Labelers
  • HCC: Benefits of One-Time Versus Repeated Labeling
  • HCC: Concerns Regarding the Protection of Labeler Identities
  • HCC: Cost, Reliability, and Skill of Labelers
  • HCC: Creation of Intelligent Bots in Human Computation Games
  • HCC: Design of Manipulation-Resistance Mechanisms in Human Computation
  • HCC: Differences Between Collaborative Vs. Competitive Tasks
  • HCC: Domain-Specific Implementation Challenges in Human Computation Games
  • HCC: Effectiveness of CAPTCHAs
  • HCC: Focus on Tasks Where Crowds, Not Individuals, Have the Answers
  • HCC: Limitations of Human Computation
  • HCC: Optimality in the Context of Human Computation
  • HCC: Programming Languages, Tools, and Platforms to Support Human Computation
  • HCC: Theories about What Makes Some Human Computation Tasks Fun and Addictive
  • HCC: Utility of Social Networks and Social Credit in Garnering Data

Knowledge Representation and Reasoning

  • KRR: Knowledge Acquisition
  • KRR: Knowledge Engineering
  • KRR: Ontologies
  • KRR: Action, Change, and Causality
  • KRR: Argumentation
  • KRR: Automated Reasoning and Theorem Proving
  • KRR: Belief Change
  • KRR: Case-Based Reasoning
  • KRR: Common-Sense Reasoning
  • KRR: Computational Complexity of Reasoning
  • KRR: Description Logics
  • KRR: Diagnosis and Abductive Reasoning
  • KRR: Geometric, Spatial, and Temporal Reasoning
  • KRR: Knowledge Representation Languages
  • KRR: Logic Programming
  • KRR: Nonmonotonic Reasoning
  • KRR: Preferences
  • KRR: Qualitative Reasoning
  • KRR: Reasoning with Beliefs
  • KRR: Knowledge Representation (General/Other)

Machine Learning

  • ML: Active Learning
  • ML: Adversarial Learning, Robustness, and Uncertainty Quantification
  • ML: Bayesian Learning
  • ML: Causal Learning
  • ML: Classification and Regression
  • ML: Clustering
  • ML: Data Mining
  • ML: Deep Learning/Neural Networks
  • ML: Dimensionality Reduction/Feature Selection
  • ML: Ensemble Methods
  • ML: Evaluation and Analysis (Machine Learning)
  • ML: Evolutionary Learning
  • ML: Feature Construction/Reformulation
  • ML: Interpretable Machine Learning
  • ML: Kernel Methods
  • ML: Learning Preferences or Rankings
  • ML: Learning Theory
  • ML: Machine Learning (General)
  • ML: Multi-instance/Multi-label/Multi-view learning
  • ML: Online Learning
  • ML: Probabilistic Graphical Model
  • ML: Recommender Systems
  • ML: Reinforcement Learning
  • ML: Relational Learning
  • ML: Self-Supervised Learning
  • ML: Semi-Supervised Learning
  • ML: Structured Prediction
  • ML: Supervised Learning (Other)
  • ML: Time-Series/Data Streams
  • ML: Transfer/Adaptation/Multi-task Learning
  • ML: Unsupervised Learning (Other)

Multiagent Systems

  • MAS: Ad-Hoc Teamwork
  • MAS: Agent/AI Theories and Architectures
  • MAS: Agent-Based Simulation and Emergent Behavior
  • MAS: Agent Communication
  • MAS: Coordination and Collaboration
  • MAS: Distributed Problem Solving
  • MAS: E-Commerce
  • MAS: Opponent Modeling
  • MAS: Mechanism Design
  • MAS: Multiagent Learning
  • MAS: Multiagent Planning
  • MAS: Evaluation and Analysis (Multiagent Systems)
  • MAS: Multiagent Systems (General/other)

NLP

  • NLP: Discourse and Dialogue
  • NLP: Information Extraction
  • NLP: Ontology Induction
  • NLP: Question Answering
  • NLP: Semantics and Summarization
  • NLP: Speech Processing
  • NLP: Text Classification
  • NLP: Natural Language Processing (General/Other)

Planning, Routing, and Scheduling

  • PRS: Activity and Plan Recognition
  • PRS: Deterministic Planning
  • PRS: Learning Models for Planning and Diagnosis
  • PRS: Markov Models of Environments
  • PRS: Mixed Discrete/Continuous Planning
  • PRS: Model-Based Reasoning
  • PRS: Plan Execution and Monitoring
  • PRS: Probabilistic Planning
  • PRS: Replanning and Plan Repair
  • PRS: Routing
  • PRS: Scheduling
  • PRS: Temporal Planning
  • PRS: Planning, Routing, and Scheduling (General/Other)

Reasoning Under Uncertainty

  • RU: Bayesian Networks
  • RU: Causality
  • RU: Graphical Models
  • RU: Decision/Utility Theory
  • RU: Probabilistic Inference
  • RU: Relational Probabilistic Models
  • RU: Sequential Decision Making
  • RU: Stochastic Optimization
  • RU: Uncertainty Representations
  • RU: Uncertainty in AI (General/Other)

Robotics

  • ROB: Behavior and Control
  • ROB: Cognitive Robotics
  • ROB: Human-Robot Interaction
  • ROB: Localization, Mapping, and Navigation
  • ROB: Motion and Path Planning
  • ROB: Multi-Robot Systems
  • ROB: State Estimation
  • ROB: Robotics (General/Other)

Vision

  • VIS: Categorization
  • VIS: Computational Photography
  • VIS: Face and Gesture Recognition
  • VIS: Image and Video Retrieval
  • VIS: Image and Video Understanding
  • VIS: Language and Vision
  • VIS: Motion
  • VIS: Object Detection
  • VIS: Object Recognition
  • VIS: Perception
  • VIS: Statistical Methods and Learning