AAMAS 2005

AAMAS-05 encourages the submission of theoretical, experimental, methodological, and applications papers. Theory papers should make clear the significance and relevance of their results to the AAMAS community. Similarly, applied papers should make clear both their scientific and technical contributions, and are expected to demonstrate a thorough evaluation of their strengths and weaknesses in practice. Papers that address isolated agent capabilities (for example, planning or learning) are discouraged unless they are placed in the overall context of autonomous agent architectures or multi-agent system organization and performance. A thorough evaluation is considered an essential component of any submission. Authors are also requested to make clear the implications of any theoretical and empirical results, as well as how their work relates to the state of the art in autonomous agents and multi-agent systems research as evidenced in, for example, previous AAMAS conferences. All submissions will be rigorously peer reviewed and evaluated on the basis of the quality of their technical contribution, originality, soundness, significance, presentation, understanding of the state of the art, and overall quality.

In addition to conventional conference papers, AAMAS-05 also welcomes the submission of papers that focus on implemented systems, software, or robot prototypes. These papers require a demonstration of the prototype at the conference and should include a detailed project or system description specifying the hardware and software features and requirements.

Topics of interest to AAMAS-05 include, but are not restricted to:

• agents & complex systems; computational ecosystems
• agent architectures; perception, action & planning in agents
• agents & cognitive models
• agents & networks: web agents, semantic web, grid, web services, P2P
• agent communication: languages, semantics, pragmatics & protocols
• agent-mediated electronic commerce & trading agents
• agent-oriented software engineering & agent-oriented methodologies
• agent programming languages, development environments & testbeds
• applications of autonomous agents & multi-agent systems
• artificial social systems; conventions, norms, social laws & institutions
• autonomous robots & robot teams
• coalition formation & teamwork; cooperative distributed problem solving
• computational complexity in autonomous agents & multi-agent systems
• cooperation & coordination; multi-agent planning
• cooperative information systems, middle agents & brokers
• distributed & multi-agent constraint satisfaction
• game theoretic/economic foundations; algorithmic mechanism design
• logics & formal models of agency; verification
• multi-agent evolution, adaptation & learning
• mobile agents
• multi-agent simulation & modeling
• negotiation, auctions, social choice mechanisms & argumentation
• ontologies for agent systems
• privacy & security issues in multi-agent systems
• scalability & performance issues, robustness & dependability
• synthetic agents; human-like, lifelike & believable qualities
• theories of agency & autonomy
• trust in agent systems; adjustable autonomy