The technical issues to be addressed include, but not limited to:

A. Applications: B. Computational Architecture and Infrastructure:
  • data and knowledge intensive domains (e.g., large databases, Internet, digital libraries, financial engineering, business information systems, agent-based manufacturing, 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 architectures
  • ontology models
  • agent-level and multi-agent-level infrastructure
  • communication languages
  • multi-modal systems and interfaces
  • protocols
  • tools and standards
  • heterogeneity and interoperability
  • scalability
C. Learning and Adaptation: D. Data and Knowledge Engineering/Communication:
  • uncertainty management in multi-agent systems
  • integrated exploration and exploitation
  • long-term reliability
  • neural networks
  • artificial life
  • behavioral selection
  • coordinating perception, thought, and action
  • behavioral self-organization
  • believable lifelike quality
  • classifier systems
  • evolution and learning in dynamic environments
  • adaptation and self-adaptation
  • emergent behavior
  • evolutionary computation
  • human-agent interaction
  • information filtering
  • data mining
  • heterogeneous data integration and management
  • knowledge discovery
  • knowledge sharing
  • knowledge aggregation
  • reasoning and planning
  • adaptation and evolution of knowledge networks
  • distributed knowledge systems
E. Distributed Intelligence: F. Formal Theories of Agents:
  • dynamics of groups and populations
  • swarms
  • population evolution
  • coevolution
  • collective group behavior
  • coordination and cooperation
  • distributed intelligence
  • social integration
  • market-based computing
  • formal/computational modeling
  • chaotic and fractal dynamics
  • computational complexity
  • efficiency in distributed systems
  • taxonomy of agent environments
  • classification and characterization of complex behaviors
  • theories of perception, rationality, intention, emotion, coordination, action, and social behaviors