Web Intelligence (WI-2001)

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Interest Areas

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

Applications

• data and knowledge intensive domains (e.g., large databases, Internet, digital libraries, distributed decision making, financial modeling and engineering, business information systems and process automation)
• software and interface agents (e.g., personal assistant, translator, scheduler, information filter, tutor)
• computational intelligence (e.g., pattern analysis and recognition, imaging, optimization, resource allocation, constraint satisfaction, planning)
• agents in e-commerce and e-business
• autonomous agents in science and engineering (e.g. aerospace, survey of the seabed and space)
• physically embodied systems (e.g., autonomous robots and groups)
• very-large, complex, integrated intelligent systems

Computational Architecture and Infrastructure

• 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

Learning and Adaptation

• soft-computing in multi-agent systems
• 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

Data and Knowledge Engineering/Communication

• information filtering
• data mining
• heterogeneous data integration and management
• human-agent interaction
• knowledge discovery
• knowledge sharing
• knowledge aggregation
• reasoning and planning
• adaptation and evolution of knowledge networks
• distributed knowledge systems

Distributed Intelligence

• dynamics of groups and populations
• swarms
• population evolution
• coevolution
• collective group behavior
• coordination and cooperation
• distributed intelligence
• social integration
• market-based computing

Formal Theories of Agents

• 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, ordination, action, and social behaviors