AAAI-16: Keywords

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

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: 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

Applications

• 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

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: 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)

Humans and AI

• 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)

Machine Learning Applications

• 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)

Machine Learning Methods

• 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)

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 and Knowledge Representation

• NLPKR: Semantics and Summarization
• NLPKR: Ontology Induction
• NLPKR: Natural Language Processing (General/Other)

NLP and Machine Learning

• NLPML: Discourse and Dialogue
• NLPML: Text Classification
• NLPML: Evaluation and Analysis
• NLPML: Natural Language Processing (General/Other)

NLP and Text Mining

• NLPTM: Information Extraction
• NLPTM: Question Answering
• NLPTM: Evaluation and Analysis
• NLPTM: Natural Language Processing (General/Other)

Planning and Scheduling

• 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)

Reasoning Under Uncertainty

• 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)

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)

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)

Vision

• 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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