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Více informací o knize Multi–LLM Agent Collaborative Intelligence – The Path to AGI

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Anotace knihy

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 exploitation

Across 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.

Parametry knihy

• Plný název: Multi–LLM Agent Collaborative Intelligence – The Path to AGI
• Autor: Edward Chang
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 598
• EAN: 9798400731785
• ISBN: 8DC0004355
• ID: 50207809
• Nakladatelství: John Wiley & Sons Inc
• Hmotnost: 1004 g
• Rozměry: 235 × 191 × 30 mm
• Datum vydání: 15. December 2025

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