A. Applications:
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B. Computational Architecture and Infrastructure:
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- 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
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- 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
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C. Learning and Adaptation:
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D. Data and Knowledge Engineering/Communication:
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- 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
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- 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
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E. Distributed Intelligence:
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F. Formal Theories of Agents:
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- dynamics of groups and populations
- swarms
- population evolution
- coevolution
- collective group behavior
- coordination and cooperation
- distributed intelligence
- social integration
- market-based computing
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- 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
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