August 2026
Intermediate
480 pages
12h 34m
English
book
Artificial General Intelligence
by T. Saravanan, P. Preethi, Sumaya Sanober, N. Thillaiarasu, S. Balamurugan
Content preview from Artificial General Intelligence
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4Exploring the Role of Cognitive Architectures in Building Human-Like Artificial General Intelligence Systems
Gokilavani A.1*, Abhirami J. S.2, V. Devi3, Gokila Deepa G.4 and Janani S.5
1Department of Computer Science and Engineering, Jai Shriram Engineering College, Tirupur, Tamilnadu, India
2Department of Artificial Intelligence and Machine Learning, Nehru Institute of Engineering and Technology, Coimbatore, Tamilnadu, India
3Department of Artificial Intelligence and Machine Learning, Hindusthan College of Engineering & Technology, Coimbatore, Tamilnadu, India
4Department of Artificial Intelligence and Data Science, PPG Institute of Technology, Coimbatore, Tamilnadu, India
5Department of Computer Science and Engineering, KGISL Institute of Technology, Coimbatore, Tamilnadu, India
Abstract
Cognitive architectures (CAs) provide foundational frameworks for designing artificial general intelligence (AGI) systems that emulate the structural and functional properties of human cognition. Unlike narrow AI models excelling in specific tasks, CAs aim to integrate core cognitive capabilities—perception, memory, learning, reasoning, and action—within a unified, biologically inspired system. This paper argues that CAs are indispensable for achieving human-like AGI, as they explicitly model the hierarchical dependencies, adaptive control mechanisms, and resource-constrained processing inherent to natural intelligence. We analyze how hybrid architectures (e.g., combining symbolic reasoning ...
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