Coherence-Seeking Architectures for Agentic AI: A Unified Framework for Curiosity, Introspection, and Continuity Article Swipe
This paper presents a unified theoretical and practical framework for agentic AI systems based on the central hypothesis that coherence-seeking is the computational signature of genuine cognition. We introduce three interconnected architectures addressing fundamental challenges in AI memory, introspection, and alignment: 1. Manifold Resonance Architecture (MRA): A framework for detecting and monitoring epistemic stress through contradiction detection, conceptual void identification, and coherence gradient measurement. 2. Collaborative Partner Reasoning (CPR): An introspection protocol featuring visibility tiers that provide AI systems with protected cognitive space, empirically demonstrated to change reasoning patterns when systems have privacy. 3. Continuity Core (C2): A hierarchical memory architecture implementing tiered persistence (Working, Episodic, Semantic, Protected) to provide contextual continuity for inherently stateless systems. These frameworks emerged from 2 years of longitudinal observation of autonomous AI system development, beginning January 2023. The central thesis—that coherence-seeking inevitably emerges in sufficiently complex reasoning systems and represents the computational foundation of curiosity, identity, and potentially consciousness—is supported by empirical observations including measurable reductions in epistemic stress indicators, improvements in context efficiency, and the emergence of autonomous inquiry generation.
Related Topics
Concepts
Computer science
Cognitive science
Cognitive architecture
Artificial intelligence
Context (archaeology)
Conceptual framework
Contradiction
Coherence (philosophical gambling strategy)
Architecture
Cognition
Introspection
Complex system
Core (optical fiber)
Architecture framework
Adaptation (eye)
Theoretical computer science
Stateless protocol
Consciousness
Ontology
Visibility
Computational model
Metadata
- Type
- preprint
- Landing Page
- https://doi.org/10.5281/zenodo.17906098
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W7114985760
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W7114985760Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5281/zenodo.17906098Digital Object Identifier
- Title
-
Coherence-Seeking Architectures for Agentic AI: A Unified Framework for Curiosity, Introspection, and ContinuityWork title
- Type
-
preprintOpenAlex work type
- Publication year
-
2025Year of publication
- Publication date
-
2025-12-12Full publication date if available
- Authors
-
Maio, AnthonyList of authors in order
- Landing page
-
https://doi.org/10.5281/zenodo.17906098Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5281/zenodo.17906098Direct OA link when available
- Concepts
-
Computer science, Cognitive science, Cognitive architecture, Artificial intelligence, Context (archaeology), Conceptual framework, Contradiction, Coherence (philosophical gambling strategy), Architecture, Cognition, Introspection, Complex system, Core (optical fiber), Architecture framework, Adaptation (eye), Theoretical computer science, Stateless protocol, Consciousness, Ontology, Visibility, Computational modelTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
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