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call for papers

AAMAS04 welcomes the submission of original research papers centered around the themes of autonomous agents and multiagent systems, particularly those relating to the topic areas mentioned below. We encourage theoretical, experimental, methodological, and applications papers. Theory papers should make their relevance to the AAMAS community clear, and applied papers should make their scientific/technical contributions evident. Papers that address isolated agent capabilities per se (such as planning or learning) are discouraged, unless they are placed in the overall context of autonomous agent architectures or of multiagent system organization and performance.

Evaluation is considered a desirable component of any submission. In addition to conventional conference papers, we welcome the submission of papers that focus on implemented systems or software or robotic prototypes. These papers require a demonstration of the prototype at the conference and should include a detailed project/system description specifying hardware/software features and requirements. The conference also encourages submissions of proposals for workshops, tutorials, posters, and robotic and software demonstrations.

Topics of interest

AAMAS 2004 topics include, but are not restricted to:

  • agents and complex systems
  • agent architectures; perception, action and planning in agents
  • agents and cognitive models
  • agents and networks (semantic web, grid)
  • agent-based deployed applications
  • agent communication languages and protocols
  • agent-mediated electronic commerce
  • agent oriented software engineering
  • agent programming languages and environments
  • artificial social systems: conventions, norms, institutions; trust and reputation; privacy and security
  • autonomous robots and robot teams
  • coalition formation; teamwork; coordination; middle agents; mechanism design
  • evolution, adaptation and learning
  • logics & formal models of agency and multiagent systems; computational complexity
  • mobile agents
  • multi-agent simulation & modeling
  • negotiation and argumentation
  • ontologies for agents
  • scalability and performance issues: robustness, fault tolerance and dependability
  • synthetic agents: human-like, lifelike, and believable qualities
  • theories of agency and autonomy