The purpose of the International Conference on Agents and Artificial Intelligence is to bring together researchers, engineers and practitioners interested in the theory and applications in the areas of Agents and Artificial Intelligence. Two simultaneous related tracks will be held, covering both applications and current research work. One track focuses on Agents, Multi-Agent Systems and Software Platforms, Agile Management, Distributed Problem Solving and Distributed AI in general. The other track focuses mainly on Artificial Intelligence, Knowledge Representation, Planning, Learning, Scheduling, Perception, Data Mining, Data Science, Reactive AI Systems, and Evolutionary Computing and other topics related to Intelligent Systems and Computational Intelligence.

Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas: 1. AGENTS 2. ARTIFICIAL INTELLIGENCE AREA 1: AGENTS Semantic Web Multi-Agent Systems Distributed Problem Solving Agent Communication Languages Agent Models and Architectures Cooperation and Coordination Conversational Agents Negotiation and Interaction Protocols Programming Environments and Languages Task Planning and Execution Autonomous Systems Cognitive Robotics Group Decision Making Web Intelligence Agent Platforms and Interoperability SOA and Software Agents Simulation Economic Agent Models Mobile Agents Privacy, safety and security Collective Intelligence Physical Agents Robot and Multi-robot Systems Self Organizing Systems Cloud Computing Auctions and Markets Agile Management AREA 2: ARTIFICIAL INTELLIGENCE Intelligent User Interfaces Bayesian Networks Soft Computing Neural Networks Natural Language Processing Machine Learning Planning and Scheduling Knowledge Representation and Reasoning Uncertainty in AI Model-Based Reasoning Ontologies Data Mining Data Science Constraint Satisfaction State Space Search Case-Based Reasoning Cognitive Systems Reactive AI Vision and Perception Pattern Recognition Ambient Intelligence AI and Creativity Evolutionary Computing Fuzzy Systems Knowledge-Based System Industrial applications of AI Hybrid Intelligent Systems Visualization Knowledge-Based Maps