Name: The Future of Agentic AI: Visual Intelligence, Knowledge Models, and Explainable Cognitive Computing (en Inglés)
SKU: 69197900
Price: 391073.00 COP
Availability: InStock
Author: Nourani, Cyrus F.
ISBN: 9786630232301

portada The Future of Agentic AI: Visual Intelligence, Knowledge Models, and Explainable Cognitive Computing (en Inglés)

The Future of Agentic AI: Visual Intelligence, Knowledge Models, and Explainable Cognitive Computing (en Inglés)

Formato

Libro Físico

Editorial

LAP LAMBERT Academic Publishing

Autor

Nourani, Cyrus F.

Idioma

Inglés

N° páginas

284

Encuadernación

Tapa Blanda

ISBN13

9786630232301

The Future of Agentic AI: Visual Intelligence, Knowledge Models, and Explainable Cognitive Computing (en Inglés)

Nourani, Cyrus F. (Autor) · LAP LAMBERT Academic Publishing · Tapa Blanda

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Reseña del libro "The Future of Agentic AI: Visual Intelligence, Knowledge Models, and Explainable Cognitive Computing (en Inglés)"

The Future of Agentic AI: Visual Intelligence, Knowledge Models, and Explainable Cognitive Computing presents a unified vision for the next generation of artificial intelligence by integrating symbolic reasoning, visual intelligence, knowledge graphs, Foundation Models, and autonomous multi-agent systems into mathematically grounded cognitive architectures. The work introduces novel concepts including Agentic Morphic Trees and Abstract Knowledge Model (AKM) Induction, demonstrating how explainable, knowledge-driven AI can bridge formal logic with modern generative models while enabling transparent reasoning, adaptive learning, and collaborative decision-making. Drawing upon three decades of research in Morph Gentzen Logic, visual computation, competitive learning, and knowledge representation, the volume argues that the future of AI lies not in increasingly larger language models alone, but in structured ecosystems of cooperating intelligent agents capable of reasoning, planning, explaining, and applying knowledge across complex scientific, industrial, and enterprise domains.