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Computer Science - Artificial Intelligence | Aims and Scope: Autonomous Agents and Multi-Agent Systems

Aims and Scope: Autonomous Agents and Multi-Agent Systems

The journal provides a leading forum for disseminating significant original research results in the foundations, theory, development, analysis, and applications of autonomous agents and multi-agent systems. Specific topics of interest include, but are not restricted to:

  • Agent decision-making architectures and their evaluation, including deliberative, practical reasoning, reactive/behavioural, plan-based, and hybrid architectures.
  • Cooperation and teamwork, including organizational structuring and design for multi-agent systems, self-organization, emergent functionality and swarm intelligence.
  • Multi-agent planning and planning for multi-agent systems, and the coordination of multi-agent plans and activities.
  • Computational auction systems, computational market systems, algorithmic/automated mechanism design, automated negotiation, computational aspects of game theory (cooperative and non-cooperative), and computational social choice theory.
  • Knowledge representation and reasoning for, and logical foundations of, autonomous agents and multi-agent systems.
  • Agent programming languages - their implementation, semantics, and evaluation.
  • Distributed constraint processing and distributed constraint optimization.
  • Multi-agent argumentation and dialogue, conflict detection and resolution.
  • Multi-agent learning, co-learning, and evolutionary approaches in multi-agent systems.
  • Learning agents, including: computational architectures for learning agents; evolution, adaptation; multi-agent learning.
  • Agent communication languages, their semantics, pragmatics, and implementation, and agent communication protocols and conversations.
  • Conventions, commitments, norms, obligations, and social laws in multi-agent systems, and models of trust and reputation.
  • Believable and synthetic agents and characters, and human-agent interaction.
  • Environments, testbeds, and programming languages for experimentation with, and analysis of, agent systems.
  • Ontologies for agent systems, agents and the semantic web, agents and semantic web services, Grid-based systems, and service-oriented computing.
  • Robotic agents, including: integrated perception, cognition, and action; cognitive robotics; robot planning (including action and motion planning); multi-robot systems.
  • Agents as a software engineering paradigm, including agent system development, specification and verification of agent systems, methodologies for autonomous agents and multi-agent systems, analysis and design for multi-agent systems, evaluations of different approaches to developing agent systems, and significant practical experiences with agent system.
  • Exploration of relationships between agents and other disciplines such as psychology, linguistics, philosophy, and human-computer interaction; and the relationship between multi-agent systems and other disciplines such as economics/game theory, sociology, and organization theory.
  • Significant, novel applications of agent technology.
  • Comprehensive reviews and authoritative tutorials of research and practice in agent systems.
  • Comprehensive and authoritative reviews of books dealing with agents and multi-agent systems.