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• FLAIRS'2004

Call For Papers

Intelligent agent technology is emerging as one of the most rapidly advancing areas in information technology. There is a fast pace in the conceptualization and development of agent-based applications in a variety of fields such as electronic commerce, supply chain management, resource allocation, project management, intelligent manufacturing, industrial control, information retrieval and filtering, computational science, collaborative work, decision support, and computer games. While research on various aspects of intelligent agent technology and its application is progressing at a very fast pace, this is only the beginning. There are still many issues that have to be explored in terms of agent design, implementation, and deployment. The purpose of this track is to provide a forum for academics and practitioners to identify and explore the issues, opportunities, and solutions related to intelligent agent theory, design and implementation.

Track welcomes submissions of original high-quality papers. The technical issues to be addressed include, but not limited to:

• Applications:

  • Data and knowledge intensive domains (e.g., large databases, Internet, digital libraries, financial engineering, business information systems, CSCW)

  • Interaction with software/interface agents (e.g., E-commerce, personal assistant, information filter, tutor)

  • Computational intelligence (e.g., pattern analysis and recognition, imaging, optimization, resource allocation, constraint satisfaction, planning)

  • Physically embodied systems (e.g., autonomous robots)

  • Very-large, complex, integrated intelligent systems

• Computational Architecture and Infrastructure:

  • Computational architectures, virtual machines, tools and standards

  • Ontology models, multimodal systems and interfaces

  • Agent-level and multiagent-level infrastructure

  • Communication languages and protocols

  • Heterogeneity and interoperability

  • Scalability

• Learning and Adaptation:

  • Uncertainty management in multiagent systems

  • Integrated exploration and exploitation

  • Neural networks, Artificial life, Evolutionary computation

  • Behavioral selection, behavioral self-organization, emergent behavior

  • Coordinating perception, thought, and action

  • Evolution and learning in dynamic environments

  • Adaptation and self-adaptation

  • Human-agent interaction

• Data and Knowledge Engineering/Communication:

  • Distributed knowledge systems

  • Adaptation and evolution of knowledge networks

  • Data mining, information filtering

  • Heterogeneous data integration and management

  • Knowledge discovery, Knowledge sharing, Knowledge aggregation

  • Reasoning and planning

• Distributed Intelligence:

  • Dynamics of groups and populations

  • Coevolution

  • Collective group behavior

  • Coordination and cooperation

  • Social integration

  • Market-based computing

• Abstract Models for Agent Systems:

  • Coordination models (channel-based, tuple-based)

  • Distributed objects, active objects, actors

  • Locality-centric models (mobile ambients,...)

  • Process algebras (pi-calculus, join calculus, fusion calculus)

  • High-level programming models

  • Specification languages and model checking

  • Formal reasoning, techniques for correctness, automatic support

  • Modeling and simulation by discrete events systems