SCOPE

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, covering both applications and current research work. On one side it focuses on Agents, Multi-Agent Systems and Software Platforms, and also Distributed Problem Solving. On the other side it focuses on Artificial Intelligence, Knowledge Representation, Planning, Learning, Scheduling, Perception. Applications are in both areas. They are using Natural Language Processing (NLP), Legal Technologies and Quantum Computing.

The last four years the research emphasis has shifted towards Explainable AI and Interpretable AI with a focus on trustworthiness, fairness, privacy, safety, security and ethical issues. A substantial amount of research work is ongoing in these knowledge areas, in an attempt to discover appropriate theories and paradigms to use in real-world applications.

Papers describing original work are invited in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the Proceedings of ICAART with an ISBN. Acceptance will be based on quality, relevance and originality. Both full research reports and work-in-progress reports are welcome. There will be both oral and poster sessions.

Special sessions, dedicated to case-studies and commercial presentations, as well as tutorials dedicated to technical/scientific topics are also envisaged: companies interested in presenting their products/methodologies or researchers interested in holding a tutorial, workshop or special session are invited to contact the conference secretariat or visit the conference website.

CONFERENCE AREAS

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

    Agent Communication and Languages
    Agent Models and Architectures
    Agent Oriented Software Engineering
    Autonomous Systems
    Cognitive Robotics
    Conversational Agents
    Distributed Problem Solving
    Economic Agent Models
    Emotional Intelligence
    Fairness and Reliability
    Group Decision Making (with cooperation, coordination, negotiation, interaction protocols)
    Intelligent Auctions and Markets
    Mobile Agents
    Multi-Agent Systems
    Privacy, Safety, Security, and Ethical Issues
    Programming Environments and Agent Platforms
    Robot and Multi-Robot Systems
    Self Organizing Systems
    Simulation
    Swarm Intelligence and Collective Intelligence
    Task Planning and Execution
    Web Intelligence and Semantic Web

AREA 2: ARTIFICIAL INTELLIGENCE

    AI and Creativity
    Ambient Intelligence
    Bayesian Networks
    Big Data
    Cognitive Systems
    Constraint Satisfaction
    Data Mining
    Data Science
    Deep Learning
    Evolutionary Computing
    Explainable Artificial Intelligence
    Fuzzy Systems
    Hybrid Intelligent Systems
    Industrial Applications of AI
    Intelligence and Cybersecurity
    Intelligent User Interfaces
    Interpretable Artificial Intelligence
    Knowledge Representation and Reasoning
    Knowledge-Based Systems
    Legal Technologies
    Machine Learning
    Model-Based Reasoning
    Natural Language Processing
    Neural Networks
    Ontologies
    Planning and Scheduling
    Quantum Artificial Intelligence
    Social Network Analysis
    Soft Computing
    State Space Search
    Transparency
    Uncertainty in AI
    Validity
    Vision and Perception
    Visualization