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Multi-LLM Agent Collaborative Intelligence/ The Path to Artificial General Intelligence Edward Y. Chang

ACM Book collection III Available online

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Format:
Book
Author/Creator:
Chang, Edward Y., author.
Series:
ACM books - Collection 3 ; #69.
ACM books, 2374-6777 ; #69
Language:
English
Subjects (All):
Multi-LLM Agent Collaborative Intelligence(Computer Science).
Genre:
Electronic books.
Physical Description:
1 PDF (xxvi, 570pages) LuaTEX
Edition:
First Edition
Place of Publication:
[New York, NY, USA] : Association for Computing Machinery; [2026].
System Details:
Mode of access: World Wide Web
System requirements: Adobe Acrobat Reader
Contents:
Preface
Acknowledgments
Acknowledgment of AI Assistance
Introduction to The MACI Framework: A System 2 Architecture for Artificial General Intelligence -The Intelligence Paradox
From Pattern Matching to Artificial General Intelligence
Eight Foundational Pillars
From System 1 Foundation to Cognitive AGI
Necessity and Sufficiency of the Eight Foundational Pillars
Book Organization
1 A Brief History of AI: From Turing to Transformers
Abstract
1.1 Introduction
1.2 Definitions
1.3 Perspectives on Similarity
1.4 Eras of Similarity Measurement
1.5 Concluding Remarks
References
2 Capabilities and Opportunities of Language Models
2.1 Introduction 2.2 Distinctive Capabilities
2.3 Exploring Unknown Unknowns
2.4 Conclusion
3 Prompt Engineering: Few Shots, Chain of Thought, and Retrieval-Augmented Generation
3.1 Introduction
3.2 Prompting Methods
3.3 RAG
3.4 Concluding Remarks
4 Unified Cognitive Consciousness Theory: Introduction
4.1 Introduction
4.2 Related Work
4.3 The UCCT Framework
4.4 Empirical Study: Qualitative Anchoring Demonstrations
4.5 Conclusion
5 CRIT: Socratic Inquiry for Critical Thinking in LLMs
5.1 Introduction
5.2 Related Work
5.3 The Socratic Method
5.4 Prompt Template Engineering
5.5 Pilot Study
5.6 Concluding Remarks
6 SocraSynth: Adversarial Multi-LLM Reasoning
6.1 Introduction
6.2 Multi-Agent SocraSynth Overview
6.3 Empirical Study
6.4 Remarks on Related Work
6.5 Concluding Remarks
6.6 Supplemental Materials
6.A Appendix A. Tables of Topic Proposal and Refinement
6.B Appendix B. Moderator's Prompts
6.C Appendix C. Debate from Opening to Fourth Round
6.D Appendix D. CRIT Evaluations by the Judges
6.E Appendix E. Debate Beats Q&A in Quality
6.F Appendix F. Post-Debate Conciliatory Remarks
6.G Appendix G. Healthcare Debate
7 EVINCE: Optimizing Adversarial LLM Dialogues via Conditional Statistics and Information Theory
7.1 Introduction
7.2 Related Work
7.3 The EVINCE Algorithm and Its Foundations
7.4 Empirical Evaluation of EVINCE
7.5 Concluding Remarks
7.A Appendix A: Metrics for LLM Debate Evaluation
7.B Appendix B: Theorem Proving
7.C Appendix C: Design Maxims of EVINCE Moderation
7.D Appendix D: EVINCE Debate #1
7.E Appendix E: EVINCE Debate-Jaundice vs. Hepatitis
8 Bias Correction and Data Synthesis through Reflective LLM Collaboration
8.1 Introduction
8.2 Related Work
8.3 Methodology
8.4 Experiments
8.5 Concluding Remarks
8.A Appendix A: On Annotation Quality
8.B Appendix B: Summary of EVINCE Debate on News D1
8.C Appendix C: Experiment #1 Justifications of Biased Articles
9 Modeling Emotions in Multimodal LLMs
9.1 Introduction
9.2 Qualifying and Quantifying Emotions
9.3 Empirical Study: Linguistic Features of Emotion
9.4 Qualifying and Quantifying Ethics
9.5 Concluding Remarks
9.A Appendix A
10 A Checks-and-Balances Framework for Context-Aware EthicalAI Alignment
10.1 Introduction
10.2 Related Work
10.3 Three-Branch Framework Design
10.4 Empirical Studies
10.5 Conclusion
10.6 Appendices
10.A Appendix A: Unconscious-Conscious Complementarity Thesis
10.B Appendix B: Wheels of Emotions
10.C Appendix C: Complex Emotions
10.D Appendix D: Hate Speech Samples
10.E Appendix E: Mixed Emotions
10.F Appendix F: Instruction to Human Annotators
10.G Appendix G: Polarized Emotions in One Article
10.H Appendix H: "To My Sister" of Different Linguistic Behaviors
11 SagaLLM: Persistent Context Management, Constraint Validation, and Transaction Guarantees
11.1 Introduction
11.2 Related Work
11.3 System Requirements for SagaLLM
11.4 Design with Travel Planning
11.5 Experiments
11.6 Conclusion
Supplementary Materials
Acknowledgment
12 ALAS: A Stateful Multi-LLM Agent Framework for Disruption-Aware Planning
12.1 Introduction
12.2 Related Work
12.3 The ALAS Three-Layer Architecture for Adaptive and Reactive Planning
12.4 Experimental Evaluation
12.5 Conclusion
12.6 Appendices
12.A Appendix A: Supplemental Information for Section 12.3
12.B Appendix B: Agent Factory Implementation Details
12.C Appendix C: LCPR Specification and Lemma Proofs
12.D Appendix D: Urban Ride Sharing
12.E Appendix E: Additional JSSP Results and Analysis
13 CoCoMo: Computational Consciousness Model
13.1 Introduction
13.2 Understanding Consciousness
13.3 Functionalities of Consciousness
13.4 Computational Consciousness
13.5 Concluding Remarks
Acknowledgments
14 Unified Cognitive Consciousness Theory: Formalization, Validation, and Outlook
14.1 Introduction
14.2 Background, Limitations, and Experimental Rationale
14.3 The UCCT Framework
14.4 Experiments: Validating UCCT
14.5 Conclusion
14.A Appendix A: Threshold-Crossing Dynamics Theorem
14.B Appendix B: Threshold Calibration
14.C Appendix C: Diversity Within Relevance
14.D Appendix D: UCCT for RAG (Protocol and Lab Exercise Plan)
14.E Appendix E: UCCT for Multi-Agent Debate (Protocol and Lab Exercise Plan)
15 A Retrospective and Adaptive Framework to Improve LLMs
15.1 Introduction
15.2 Related Work
15.3 Retrospective and Adaptive Learning
15.4 UCCT + RAFEL
15.5 Concluding Remarks
16 Polynthesis: Discovering Insights Beyond the Known
16.1 Introduction
16.2 Phase I: Warm-Up Breadth Probing
16.3 Phase II: From Breadth to Depth
16.4 Phase III: Concluding Remarks
16.5 Conclusion and Future Work
17 Aphorisms for Collaborative Intelligence
17.1 Introduction
17.2 List of 16 Aphorisms
17.3 Conclusion
Epilogue: Two Paradigm Bridges
Two Parallel Paradigm Shifts
Why the Pair Matters
Priority and Provenance
Acknowledgments
Author's Biography
Index
Other Format:
Print version:
ISBN:
3749421
9798400731723
9798400731730
Access Restriction:
Restricted for use by site license.

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