Multi-LLM Agent Collaborative Intelligence : The Path to Artificial General Intelligence, Volume 1

Language: English

Published by Association For Computing Machinery, 2026

9798400731976

Series: Book 2 of 2 - Quantitative and AI Foundations in Perception and Consciousness

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nach der Bestellung gedruckt Neuware - Printed after ordering - Today's large language models excel at pattern recall yet falter on long-range planning, self-critique, context loss, and the tendency of maximum-likelihood training to reward popularity over quality. MACI offers a promising route to AGI by orchestrating specialized LLM agents through explicit protocols rather than enlarging a single model. Several modules remedy complementary weaknesses: adversarial-collaborative debate surfaces hidden assumptions; critical-reading rubrics filter incoherent arguments; information-theoretic signals steer dialogue quantitatively; transactional memory enables reliable long-horizon execution; and a dual-agent ethical court adjudicates outputs. Crucially, MACI also modulates linguistic behavior, tuning each agent's contentiousness and emotional tone, so the collective explores ideas from contrasting, affect-aware perspectives before converging.Fourteen aphorisms distill the framework's philosophy, including:¿ Intelligence emerges from regulated collaboration, not isolated brilliance¿ Exploration must remain in tension with exploitationAcross healthcare diagnosis, investment support, scheduling, supply-chain management, and news-bias mitigation, MACI ensembles deliver significant improvements in reasoning depth, planning horizon, and reliability compared with similar-sized single models. By uniting structured debate, information-theoretic coordination, persistent memory, affect-aware discourse, and deliberative ethics, MACI demonstrates that rigorously validated multi-agent collaboration provides a practical, interpretable path toward robust general intelligence.

Seller Inventory # 9798400731976

Title
Multi-LLM Agent Collaborative Intelligence : The Path to Artificial General Intelligence, Volume 1
Author
Edward Y. Chang
Publisher
Association For Computing Machinery
Publication year
2026
Condition
Neu
Binding
Buch
Language
English
ISBN 13
9798400731976
Item weight
1,295 grams
Dimensions
241x196x36 mm
Series
Book 2 of 2: Quantitative and AI Foundations in Perception and Consciousness

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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