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

Sinopsis

Cognitive architecture is a blueprint for building intelligent systems that replicate how humans think—integrating memory, perception, learning, reasoning, and decision-making into a unified framework.
This book is a comprehensive guide to designing such architectures from the ground up, combining insights from artificial intelligence, neuroscience, psychology, and systems engineering.

With 25 chapters covering everything from symbolic and subsymbolic models to robotics, language, ethics, and multi-agent systems, it equips you with the theory, structure, and practical tools needed to build cognitive systems that scale, adapt, and evolve.

💡 What You’ll Learn

• 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

Whether you're building adaptive robotics, exploring AGI, or designing explainable systems, this is the foundation—built for those who engineer intelligence, not just simulate it.

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