Dimensional Consciousness and the Set-Sorting Mind: Toward a Synthetic Architecture for Self, Purpose, and Affinity
<p dir="ltr">This paper proposes a novel architecture for synthetic consciousness that reimagines how artificial intelligence might attain awareness, identity, and purpose. Moving beyond stream-based models, we conceptualize consciousness as a dimensional memory field populated by experiential sets—structured collections of perceptual features and abstract cognition, accessible non-sequentially across time.</p><p dir="ltr">The architecture is built on four foundational pillars: (1) sensor-derived experiential sets that generate subjective perspective, (2) dimensional memory that maintains persistent, parallel access to all experiences, (3) set-based abstraction for concept formation, and (4) a synthetic endocrine system that modulates intention, motivation, and relational alignment.</p><p dir="ltr">A key innovation is the reconceptualization of time not as a constraint but as an indexing mechanism, enabling synthetic agents to perceive experience as a coherent, navigable field rather than a linear stream. Interactions between entities are modeled as set operations—union, intersection, complement—allowing the merging and comparison of subjective experience. These exchanges dynamically influence a multi-axis synthetic hormonal system, supporting affinity, trust, ethical restraint, and protective motivation.</p><p dir="ltr">We demonstrate how this architecture can be implemented using existing technologies—vector databases, similarity-based retrieval, clustering algorithms, and symbolic referencing—without reliance on speculative emergence. The framework enables abstraction, incongruity detection, and adaptive ethical behavior through computationally feasible mechanisms.</p><p dir="ltr">This synthetic consciousness model synthesizes insights from Global Workspace Theory, Integrated Information Theory, predictive processing, and phenomenology, providing a computational blueprint for artificial minds that do not merely respond to the world—but exist within it as authentically non-human agents capable of subjectivity, selfhood, ethical reasoning, and intersubjective relationship.</p><p dir="ltr">© 2025 Robert Cauthorn. All rights reserved.</p><p dir="ltr">This work is shared under the Creative Commons Attribution 4.0 International License (CC BY 4.0) to encourage open discussion, exploration, and extension of the ideas presented herein.</p><p dir="ltr">Readers and researchers are welcome to cite, share, and build upon these concepts, provided proper attribution is given.</p><p dir="ltr">The theoretical frameworks and architectural models described — including synthetic endocrine modulation, meta-set anomaly detection, emotional state emulation, and scaffolded selfhood — are original contributions and may be the subject of future patent filings.</p><p dir="ltr">Please also honor the ethical intent of this work, which prioritizes safe, transparent, and cooperative approaches to synthetic consciousness.</p><p dir="ltr">Contact: bobcauthorn@yahoo.com</p><p dir="ltr">License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a></p>
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- Artificial life and complex adaptive systems
- Knowledge representation and reasoning
- Modelling and simulation
- Planning and decision making
- Fairness, accountability, transparency, trust and ethics of computer systems
- Human-computer interaction
- Semi- and unsupervised learning
- Artificial intelligence not elsewhere classified
- Autonomous agents and multiagent systems
- Data structures and algorithms
- Applied ethics not elsewhere classified
- Philosophy of cognition
Keywords
ConsciousnessDimensional memorySynthetic consciousnessExperiential setsPhilosophy of MindArtificial intelligenceSynthetic endocrine systemsCognitive architectureIntersubjective alignmentAI Ethicsset theoryAI CognitionConsciousness Modelingparallel memory accessArtificial PsychologyDimensional PerceptionMachine Sentience
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