Abstract
This article advances the thesis that knowledge, agency, and responsibility can be stabilised beyond the individual mind within hybrid human–AI systems. It proposes and develops the Cognitive Tapestry as a philosophical framework grounded in computational models of associative memory—Entropic Hetero Associative Memory and Alpha–Beta BAM. Methodologically, it institutes projection–protection barriers to discipline inferences from computational models to philosophical reflection and operationalises four invariants—dispersion (D), redundancy (R), mutual information (I), and revision-readiness (ρ)—that distinguish distributed cognition from mere aggregation. Epistemologically, it reconceives knowledge as resilience under bounded uncertainty, articulated through the categories of phantom objectivities, entropic networks, tacit knowledge, and group agency. Metaphysically, it treats emergence as explanatory rather than ontological and frames post-individual intelligence through controlled indeterminacy. Ethically, it introduces responsibility matrices that scale accountability across human, algorithmic, and institutional roles, illustrated through case studies in pandemic response, medical triage, DevSecOps pipelines, open-source collaboration, and swarm robotics. The article also addresses objections concerning misplaced concreteness, functionalist reductionism, emergence, and the so-called responsibility gap, and positions the framework as an open research line rather than a final doctrine. Its contribution lies in providing a disciplined vocabulary and method for analysing knowledge, agency, and responsibility across socio-technical systems, thereby offering a coherent orientation for philosophical reflection in the Cognitive Era.
Keywords:
Cognitive Tapestry, Distributed Cognition, Entropic Knowledge, Ethics of AI, Phantom Objectivities, Post-Individual IntelligenceReferences
Issue
Copyright & License
This work is licensed under a Creative Commons Attribution 4.0 International License.