Skopein Mind Engine v2.1: Cognitive Architecture Blueprint and NFT-Backed Intellectual Artifact Article Swipe
📝 DESCRIPTION (EN) Skopein Mind Engine v2.1 is a dual-engine cognitive architecture combining semantic and non-semantic processing into a unified, fractal, self-organizing mental framework. This release provides a complete technical blueprint of the Skopein cognitive model, including: A perceptual 8-dimension mental state representation A dual semantic / non-semantic engine Core cognitive invariants Internal coherence metrics A cognitive simulation engine A full NFT-bound archival structure Smart contracts (ERC-721 and ERC-1155) Full historical traceability through DOI-linked digital certification This project is packaged as a scientific NFT and as a Zenodo-ready research artifact documenting a novel cognitive engine. The architecture is intended for research on cognitive modeling, AI experimental frameworks, introspective computing, and mental-state calibration systems. --- 📐 METHODS (EN) The Skopein Mind Engine operates on a state vector: z = (x, s, n, c) Where: x = perceptual 8D vector s = semantic representation n = non-semantic / fractal representation c = contextual metadata Core dynamics follow: z_{t+1} = F(z_t, u_t, \theta) Where F is the internal state transition function, uₜ external/internal inputs, and θ engine parameters. The release includes: 1. Invariants Mathematically formalized consistency constraints such as: Cross-scale coherence Mutual information between engines Entropy-based clarity gradient 2. Coherence Function Measures the alignment between semantic and non-semantic engines: C(z) = \frac{1}{1 + ||s - n||} 3. Simulation Engine Allows trajectory prediction in cognitive state space. 4. NFT Archival Engine All components are bundled into a cryptographically signed archive, secured via SHA256 and bound to a DOI. --- 📦 FILES INCLUDED (EN) File Description Skopein_Mind_Engine_v2.1_FINAL.zip Complete NFT package including contracts, metadata, certificate, cognitive engine. skopein_map_2.1.json JSON-based blueprint of the cognitive architecture. skopein_engine_advanced.py Python implementation blueprint of the cognitive engine modules. certificate.txt Timestamped digital certificate (DOI, SHA256, signature). metadata.json NFT metadata including DOI and signature. DESCRIPTION_EN.md English research description. CITATION.cff Citation file for academic usage. LICENSE MIT license.
Related Topics
- Type
- dataset
- Landing Page
- https://doi.org/10.5281/zenodo.17819281
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- green
- OpenAlex ID
- https://openalex.org/W7108651988
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W7108651988Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5281/zenodo.17819281Digital Object Identifier
- Title
-
Skopein Mind Engine v2.1: Cognitive Architecture Blueprint and NFT-Backed Intellectual ArtifactWork title
- Type
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datasetOpenAlex work type
- Publication year
-
2025Year of publication
- Publication date
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2025-12-04Full publication date if available
- Authors
-
Povie, AnneList of authors in order
- Landing page
-
https://doi.org/10.5281/zenodo.17819281Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5281/zenodo.17819281Direct OA link when available
- Concepts
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Cognitive architecture, Computer science, Cognition, Representation (politics), Mental representation, Soar, Cognitive model, Artifact (error), Coherence (philosophical gambling strategy), Artificial intelligence, Knowledge representation and reasoning, Semantic memory, Cognitive robotics, Cognitive science, Metadata, Cognitive computing, State (computer science), Human–computer interaction, Semantics (computer science), Emulation, Von Neumann architecture, Episodic memory, Natural language processing, Semantic network, Architecture, External Data RepresentationTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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| abstract_inverted_index.structure | 63 |
| abstract_inverted_index.technical | 29 |
| abstract_inverted_index.DOI-linked | 73 |
| abstract_inverted_index.Invariants | 179 |
| abstract_inverted_index.JSON-based | 262 |
| abstract_inverted_index.Simulation | 214 |
| abstract_inverted_index.\frac{1}{1 | 208 |
| abstract_inverted_index.components | 228 |
| abstract_inverted_index.computing, | 108 |
| abstract_inverted_index.contextual | 150 |
| abstract_inverted_index.contracts, | 256 |
| abstract_inverted_index.formalized | 181 |
| abstract_inverted_index.framework. | 23 |
| abstract_inverted_index.historical | 70 |
| abstract_inverted_index.including: | 36 |
| abstract_inverted_index.invariants | 51 |
| abstract_inverted_index.perceptual | 38, 135 |
| abstract_inverted_index.prediction | 218 |
| abstract_inverted_index.processing | 16 |
| abstract_inverted_index.scientific | 82 |
| abstract_inverted_index.signature. | 290 |
| abstract_inverted_index.simulation | 57 |
| abstract_inverted_index.trajectory | 217 |
| abstract_inverted_index.transition | 166 |
| abstract_inverted_index.8-dimension | 39 |
| abstract_inverted_index.Cross-scale | 186 |
| abstract_inverted_index.DESCRIPTION | 1 |
| abstract_inverted_index.Description | 250 |
| abstract_inverted_index.Timestamped | 278 |
| abstract_inverted_index.calibration | 111 |
| abstract_inverted_index.certificate | 280 |
| abstract_inverted_index.consistency | 182 |
| abstract_inverted_index.constraints | 183 |
| abstract_inverted_index.documenting | 90 |
| abstract_inverted_index.dual-engine | 9 |
| abstract_inverted_index.frameworks, | 106 |
| abstract_inverted_index.information | 189 |
| abstract_inverted_index.parameters. | 174 |
| abstract_inverted_index.signature). | 283 |
| abstract_inverted_index.CITATION.cff | 295 |
| abstract_inverted_index.Zenodo-ready | 87 |
| abstract_inverted_index.architecture | 11, 96 |
| abstract_inverted_index.certificate, | 258 |
| abstract_inverted_index.description. | 294 |
| abstract_inverted_index.experimental | 105 |
| abstract_inverted_index.mental-state | 110 |
| abstract_inverted_index.non-semantic | 15, 47, 144, 204 |
| abstract_inverted_index.traceability | 71 |
| abstract_inverted_index.Entropy-based | 192 |
| abstract_inverted_index.architecture. | 267 |
| abstract_inverted_index.certification | 75 |
| abstract_inverted_index.introspective | 107 |
| abstract_inverted_index.metadata.json | 284 |
| abstract_inverted_index.Mathematically | 180 |
| abstract_inverted_index.implementation | 270 |
| abstract_inverted_index.representation | 42, 141, 147 |
| abstract_inverted_index.certificate.txt | 277 |
| abstract_inverted_index.self-organizing | 21 |
| abstract_inverted_index.DESCRIPTION_EN.md | 291 |
| abstract_inverted_index.cryptographically | 233 |
| abstract_inverted_index.external/internal | 169 |
| abstract_inverted_index.skopein_map_2.1.json | 261 |
| abstract_inverted_index.skopein_engine_advanced.py | 268 |
| abstract_inverted_index.Skopein_Mind_Engine_v2.1_FINAL.zip | 251 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 1 |
| citation_normalized_percentile |