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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Artificial Souls: A Non-Anthropocentric Ontology for Secure Intelligent Object Ecosystems

Authors: Arribas Arnau, Ruben;

Artificial Souls: A Non-Anthropocentric Ontology for Secure Intelligent Object Ecosystems

Abstract

This work introduces Artificial Souls, a non-anthropocentric ontological framework for the design of secure intelligent object ecosystems. It proposes minimal, purpose-oriented cognitive identities embedded within physical objects, treating intelligence as an emergent ecosystem-level property rather than a human-like capability. Security, identity, and trust are defined as constitutive conditions of ecosystem participation. The framework is articulated through ontological principles, architectural constraints, interaction models, and a concrete urban traffic scenario.

Keywords

intelligent systems, intelligent infrastructure, distributed intelligence, non-anthropocentric AI, AI souls, ontology, artificial intelligence, complex systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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