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

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