AAAI-16 Keywords
Submission Groups
- AI and the Web (AIW)
- Applications (APP)
- Cognitive Modeling (CM)
- Cognitive Systems (CS)
- Computational Sustainability and AI (CSAI)
- Game Theory and Economic Paradigms (GTEP)
- Game Playing and Interactive Entertainment (GPIE)
- Heuristic Search and Optimization (HSO)
- Human-Computation and Crowd Sourcing (HCC)
- Humans and AI (HAI)
- Knowledge Representation and Reasoning (KRR)
- Machine Learning Applications (MLA)
- Machine Learning Methods (ML)
- Multiagent Systems (MAS)
- NLP and Knowledge Representation (NLPKR)
- NLP and Machine Learning (NLPML)
- NLP and Text Mining (NLPTM)
- Planning and Scheduling (PS)
- Reasoning under Uncertainty (RU)
- Robotics (ROB)
- Search and Constraint Satisfaction (SCS)
- Vision (VIS)
Keywords and Subtopics
- 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: Machine Learning and the Web
- 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
- APP: AI and Natural Sciences
- APP: Art and Music
- APP: Biomedical/Bioinformatics
- APP: Computational Social Science
- APP: Computer-Aided Education
- APP: Intelligent User Interfaces
- APP: Philosophical and Ethical Issues
- APP: Security and Privacy
- APP: Social Networks
- APP: Other Applications
- CM: Adaptive Behavior
- CM: Agent Architectures
- CM: Bayesian Learning
- CM: Cognitive Architectures
- CM: Neural Spike Coding
- CM: Simulating Humans
- CM: Symbolic AI
- CS: Conceptual Inference and Reasoning
- CS: Introspection and Meta-Cognition
- CS: Memory Storage And Retrieval
- CS: Natural language understanding and dialogue
- CS: Problem Solving And Decision Making
- CS: Social Cognition And Interaction
- CS: Structural Learning And Knowledge Capture
Computational Sustainability and AI
- CSAI: Control And Optimization Of Dynamic And Spatiotemporal Systems
- CSAI: Modeling And Control Of Complex High-Dimensional Systems By Combining Physics-Based Models, Model-Based Reasoning, Optimization And Control Methods, And Machine Learning Models Built from Sensor Data
- CSAI: Modeling And Prediction Of Dynamic And Spatiotemporal Phenomena And Systems
- CSAI: Modeling the Interactions Of Agents With Different And Often Conflicting Interests
- CSAI: Network Modeling, Prediction, And Optimization
- CSAI: Sensor Networks for Monitoring Environments
- CSAI: Support for Public Engagement And Decision Making By the Public
Game Playing and Interactive Entertainment
- GPIE: General Game Playing
- GPIE: AI in Game Design
- GPIE: AI-Based Production and Authoring Tools
- GPIE: AI Techniques for Games
- GPIE: AI Storytelling
- GPIE: Autonomous Characters, NPCs, and Virtual Humans
- GPIE: Procedural Content Generation
- GPIE: Commercial AI Implementations
- GPIE: AI in Novel Entertainment Applications
- GPIE: Computational Creativity and Generative Art
- GPIE: AI in Games for Impact
Game Theory and Economic Paradigms
- GTEP: Auctions and Market-Based Systems
- GTEP: Game Theory
- 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 (Search and Optimization)
- HSO: Heuristic Search
- HSO: Metareasoning and Metaheuristics
- HSO: Optimization
- HSO: Search (General/Other)
- HAI: Brain-Sensing and Analysis
- HAI: Communication Protocols
- HAI: Human-Computer Interaction
- HAI: Interaction Techniques and Devices
- HAI: Language Acquisition
- 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: Game-Theoretic Mechanism Design of Incentives for Motivation and Honest Reporting
- 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: 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)
- MLA: Bio/Medicine
- MLA: Environmental
- MLA: Humanities
- MLA: Networks
- MLA: Applications of Supervised Learning
- MLA: Applications of Unsupervised Learning
- MLA: Applications of Reinforcement Learning
- MLA: Machine Learning Applications (General/other)
- ML: Active Learning
- ML: Bayesian Learning
- ML: Big Data / Scalability
- ML: Case-Based Reasoning
- ML: Classification
- ML: Clustering
- ML: Data Mining and Knowledge Discovery
- ML: Deep Learning/Neural Networks
- ML: Dimensionality Reduction/Feature Selection
- ML: Ensemble Methods
- ML: Evaluation and Analysis (Machine Learning)
- ML: Evolutionary Computation
- ML: Feature Construction/Reformulation
- ML: Graphical Model Learning
- ML: Kernel Methods
- ML: Learning Theory
- ML: Online Learning
- ML: Preferences/Ranking Learning
- ML: Recommender Systems
- ML: Reinforcement Learning
- ML: Relational/Graph-Based Learning
- ML: Time-Series/Data Streams
- ML: Transfer, Adaptation, Multitask Learning
- ML: Semisupervised Learning
- ML: Structured Prediction
- ML: Supervised Learning (Other)
- ML: Unsupervised Learning (Other)
- ML: Machine Learning (General/other)
- 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 and Knowledge Representation
- NLPKR: Semantics and Summarization
- NLPKR: Ontology Induction
- NLPKR: Natural Language Processing (General/Other)
- NLPML: Discourse and Dialogue
- NLPML: Text Classification
- NLPML: Evaluation and Analysis
- NLPML: Natural Language Processing (General/Other)
- NLPTM: Information Extraction
- NLPTM: Question Answering
- NLPTM: Evaluation and Analysis
- NLPTM: Natural Language Processing (General/Other)
- PS: Activity and Plan Recognition
- PS: Deterministic Planning
- PS: Learning Models for Planning and Diagnosis
- PS: Markov Models of Environments
- PS: Mixed Discrete/Continuous Planning
- PS: Model-Based Reasoning
- PS: Plan Execution and Monitoring
- PS: Probabilistic Planning
- PS: Replanning and Plan Repair
- PS: Scheduling
- PS: Temporal Planning
- PS: Planning (General/Other)
- RU: Bayesian Networks
- RU: Graphical Models (Other)
- RU: Decision/Utility Theory
- RU: Probabilistic Inference
- RU: Relational Probabilistic Models
- RU: Sequential Decision Making
- RU: Uncertainty Representations
- RU: Uncertainty in AI (General/Other)
- 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)
Search and Constraint Satisfaction
- SCS: Constraint Satisfaction
- SCS: Constraint Optimization
- SCS: Global Constraints
- SCS: Constraint Learning and Acquisition
- SCS: Distributed CSP/Optimization
- SCS: SAT and CSP: Evaluation and Analysis
- SCS: SAT and CSP: Modeling/Formulations
- SCS: SAT and CSP: Solvers and Tools
- SCS: Satisfiability (General/Other)
- SCS: Constraint Satisfaction (General/other)
- VIS: Categorization
- VIS: Face and Gesture Recognition
- VIS: Image and Video Retrieval
- VIS: Language and Vision
- VIS: Motion
- VIS: Object Detection
- VIS: Object Recognition
- VIS: Perception
- VIS: Statistical Methods and Learning
- VIS: Videos
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