Artificial Intelligence subfields and their topics

Source: Deep Learning on Medium


Subfield: “Agent-based and Multi-agent Systems”
Topics:
 • Agent-Based Simulation and Emergence
 • Agent Communication
 • Agent Societies
 • Agent Theories and Models
 • Agreement Technologies: Argumentation
 • Agreement Technologies: Negotiation and Contract-Based Systems
 • Algorithmic Game Theory
 • Computational Social Choice
 • Cooperative Games
 • Coordination and Cooperation
 • Economic Paradigms, Auctions and Market-Based Systems
 • Engineering Methods, Platforms, Languages and Tools
 • Formal Verification, Validation and Synthesis
 • Human-Agent Interaction
 • Multi-agent Learning
 • Multi-agent Planning
 • Noncooperative Games
 • Normative systems
 • Resource Allocation
 • Trust and Reputation
 • Voting

Subfield: “Computer Vision”
Topics:
 • 2D and 3D Computer Vision
 • Action Recognition
 • Big Data and Large Scale Methods
 • Biomedical Image Understanding
 • Biometrics, Face and Gesture Recognition
 • Computational Photography, Photometry, Shape from X
 • Computer Vision
 • Language and Vision
 • Motion and Tracking
 • Perception
 • Recognition: Detection, Categorization, Indexing, Matching, Retrieval, Semantic Interpretation
 • Statistical Methods and Machine Learning
 • Structural and Model-Based Approaches, Knowledge Representation and Reasoning
 • Video: Events, Activities and Surveillance

Subfield: “Constraints and SAT”
Topics:
 • Constraints and Data Mining / Machine Learning
 • Constraints: Applications
 • Constraint Satisfaction
 • Constraints: Evaluation and Analysis
 • Constraints: Solvers and Tools
 • Distributed Constraints
 • Dynamic Programming
 • Global Constraints
 • MaxSAT, MinSAT
 • Modeling/Formulation
 • Other approaches
 • SAT: Applications
 • SAT: Evaluation and Analysis
 • SAT: Solvers and Tools

Subfield: “Heuristic Search and Game Playing”
Topics:
 • Combinatorial Search and Optimisation
 • Distributed Search
 • Evaluation and Analysis
 • Game Playing
 • Game Playing and Machine Learning
 • General Game Playing and General Video Game Playing
 • Heuristic Search
 • Heuristic Search and Machine Learning
 • Meta-Reasoning and Meta-heuristics
 • Modeling
 • Serious Games

Subfield: “Humans and AI”
Topics:
 • Brain Sciences
 • Cognitive Modeling
 • Cognitive Systems
 • Computer-Aided Education
 • Ethical Issues in AI
 • Human-AI Collaboration
 • Human Computation and Crowdsourcing
 • Human-Computer Interaction
 • Intelligent User Interfaces
 • Personalization and User Modeling

Subfield: “Knowledge Representation and Reasoning”
Topics:
 • Action, Change and Causality
 • Automated Reasoning and Theorem Proving
 • Belief Change
 • Case-based reasoning
 • Common-Sense Reasoning
 • Computational Complexity of Reasoning
 • Computational Models of Argument
 • Description Logics and Ontologies
 • Diagnosis and Abductive Reasoning
 • Geometric, Spatial, and Temporal Reasoning
 • Knowledge Representation and Decision / Utility Theory
 • Knowledge Representation and • Game Theory / Social Choice
 • Knowledge Representation and Reasoning for Game Playing
 • Knowledge Representation Languages
 • Logics for Knowledge Representation
 • Non-classical Logics for Knowledge Representation
 • Non-monotonic Reasoning
 • Preference Modelling and Preference-Based Reasoning
 • Qualitative Reasoning
 • Reasoning about Knowlege and Belief
 • Tractable Languages and Knowledge compilation

Subfield: “Machine Learning”
Topics:
 • Active Learning
 • Classification
 • Clustering
 • Cost-Sensitive Learning
 • Data Mining
 • Deep Learning
 • Developmental Learning
 • Dimensionality Reduction and Manifold Learning
 • Ensemble Methods
 • Experimental Methodology/Replicability
 • Feature Selection / Learning Sparse Models
 • Interpretability
 • Kernel Methods
 • Knowledge-based Learning
 • Learning Generative Models
 • Learning Graphical Models
 • Learning Preferences or Rankings
 • Learning Theory
 • Multi-instance/Multi-label/Multi-view learning
 • Online Learning 
 • Probabilistic Machine Learning
 • Recommender Systems
 • Reinforcement Learning
 • Relational Learning
 • Semi-Supervised Learning
 • Structured Prediction
 • Time-series/Data Streams
 • Transfer, Adaptation, Multi-task Learning
 • Unsupervised Learning

Subfield: “Machine Learning Applications”
Topics:
 • Applications of Reinforcement Learning
 • Applications of Supervised Learning
 • Applications of Unsupervised Learning
 • Big data / Scalability
 • Bio/Medicine
 • Environmental
 • Game Playing
 • Humanities
 • Networks
 • Other Applications

Subfield: “Multidisciplinary Topics and Applications”
Topics:
 • AI for life science
 • Art and Music
 • Autonomic Computing
 • Biology and Medicine
 • Computational Sustainability
 • Computer Games
 • Databases
 • Finance
 • Information Retrieval
 • Intelligent Database Systems
 • Interactive Entertainment
 • Knowledge-based Software Engineering
 • Natural Sciences
 • Philosophical and Ethical Issues
 • Real-Time Systems
 • Recommender Systems
 • Security and Privacy
 • Social Sciences
 • Transportation
 • Ubiquitous Computing Systems
 • Validation and Verification

Subfield: “Natural Language Processing”
Topics:
 • Coreference Resolution
 • Dialogue
 • Discourse
 • Embeddings
 • Information Extraction
 • Information Retrieval
 • Knowledge Extraction
 • Machine Translation
 • Named Entities
 • Natural Language Generation
 • Natural Language Processing
 • Natural Language Semantics
 • Natural Language Summarization
 • NLP Applications and Tools
 • Phonology, Morphology, and word segmentation
 • Psycholinguistics
 • Question Answering
 • Resources and Evaluation
 • Sentiment Analysis and Text Mining
 • Speech
 • Tagging, chunking, and parsing
 • Text Classification

Subfield: “Planning and Scheduling”
Topics:
 • Activity and Plan Recognition
 • Applications of Planning
 • Conformant/Contingent • planning
 • Distributed/Multi-agent Planning
 • Hierarchical planning
 • Markov Decisions Processes
 • Model-Based Reasoning
 • Other approaches to planning
 • Planning Algorithms
 • Planning and Scheduling
 • Planning under Uncertainty
 • Planning with Incomplete information
 • POMDPs
 • Real-time Planning
 • Robot Planning
 • Scheduling
 • Search in Planning and Scheduling
 • Temporal and Hybrid planning
 • Theoretical Foundations of Planning

Subfield: “Robotics”
Topics:
 • Behavior and Control 
 • Cognitive Robotics
 • Dependable Robots
 • Developmental Robotics
 • Drones
 • Ethical, Legal, Societal Issues in Robotics
 • Humanoids
 • Human Robot Interaction
 • Learning in Robotics
 • Localization, Mapping, State Estimation
 • Manipulation
 • Motion and Path Planning
 • Multi-Robot Systems
 • Robotics and Vision
 • Sensor Networks
 • Social Robots
 • Vision and Perception

Subfield: “Special Track on AI for Improving Human-Well Being”
Topics:
 • AI applications for Improving Human-Well Being (Special Track on AI and Human Wellbeing)
 • AI benefits to society AI applications (Special Track on AI and Human Wellbeing)
 • AI certification (Special Track on AI and Human Wellbeing)
 • AI ethics (Special Track on AI and Human Wellbeing)
 • AI safety (Special Track on AI and Human Wellbeing)
 • AI safety (Special Track on AI and Human Wellbeing)
 • AI standards (Special Track on AI and Human Wellbeing)
 • Computational sustainability (Special Track on AI and Human Wellbeing)
 • Entertainment/games applications (Special Track on AI and Human Wellbeing)
 • Health applications (Special Track on AI and Human Wellbeing)
 • Human wellbeing (Special Track on AI and Human Wellbeing)
 • Societal applications (Special Track on AI and Human Wellbeing)
 • Well being metrics (Special Track on AI and Human Wellbeing)
 • Workplace applications (Special Track on AI and Human Wellbeing)

Subfield: “Special Track on Understanding Intelligence and Human-level AI in the New Machine Learning era”
Topics:
 • Integrating Learning and (any form of) Reasoning (Special Track on Human AI and Machine Learning)
 • Knowledge representations for Learning (Special Track on Human AI and Machine Learning)
 • Learning knowledge representations (Special Track on Human AI and Machine Learning)
 • Machine Learning and Classical AI (Special Track on Human AI and Machine Learning)
 • Neural Methods in Inductive Logic Programming (Special Track on Human AI and Machine Learning)
 • Neuro Statistical Relational Learning (Special Track on Human AI and Machine Learning)
 • Neuro-Symbolic methods (Special Track on Human AI and Machine Learning)

Subfield: “Uncertainty in AI”
Topics:
 • Approximate Probabilistic Inference
 • Bayesian Networks
 • Decision/Utility Theory
 • Exact Probabilistic Inference
 • Graphical Models
 • Markov Decision Processes
 • Nonprobabilistic Models
 • Relational Inference
 • Sequential Decision Making
 • Uncertainty in AI
 • Uncertainty Representations