Artículo: AMZ-B0F38JZJVC

Foundations of Cognitive Architectures: Interdisciplinary Models of Cognition for Artificial Intelligence (Cognitive Computation & Engineering Series)

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Sobre este producto
  • The evolution of cognitive modeling—from symbolic AI to hybrid and biologically inspired systems
  • Core components of cognition: memory, learning, attention, planning, and reasoning
  • Symbolic, subsymbolic, and hybrid frameworks—and how to integrate them
  • Temporal cognition, sequence learning, and agent-level decision-making
  • Real-time robotics, multi-agent systems, human-computer interaction, and language
  • Security, ethics, cultural adaptation, and context-aware cognition
  • Comparative studies of major architectures: ACT-R, SOAR, CLARION, and beyond
  • Tools, simulators, and best practices for scalable, testable development
  • AI Researchers & AGI Theorists seeking systems-level integration
  • Engineers & Developers building autonomous agents, HCI, or robotics
  • Graduate Students in AI, neuroscience, cognitive science, and computational psychology
  • Cognitive Modelers exploring the link between architecture and human intelligence
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