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From Smart Sensing to Consciousness: An info-structural model of computational consciousness for non-interacting agents

Gerardo Iovane, Riccardo Emanuele Landi

arXiv Preprint Archive August 29, 2022 via arXiv

Summary

AI-generated from the abstract

This paper proposes a computational model of consciousness for non-interacting agents, building on prior work on Smart Sensing. The model defines cognitive layers for sensation, perception, emotion, affection, attention, awareness, and consciousness, with attention modeled bottom-up and awareness/consciousness distinguished by separating environment from subjective processes. The output is an index synthesizing energetic and entropic contributions from a moral perspective. Tested on visual stimuli evoking eight emotions, the model matched scientific evidence on covert attention, awareness from stimulus repetition, and moral judgments to disgust and sadness. The authors present this as a novel approach to computational consciousness through artificial emotional activity and morality.

Study at a glance

Characteristics Theoretical or computational modeling study Peer reviewed
Keywords Cs.ai
Key finding Proposes that a computational model integrating cognitive layers and moral considerations can produce consciousness indices concordant with evidence on covert attention, awareness, and moral judgments.

Abstract

This study proposes a model of computational consciousness for non-interacting agents. The phenomenon of interest was assumed as sequentially dependent on the cognitive tasks of sensation, perception, emotion, affection, attention, awareness, and consciousness. Starting from the Smart Sensing prodromal study, the cognitive layers associated with the processes of attention, awareness, and consciousness were formally defined and tested together with the other processes concerning sensation, perception, emotion, and affection. The output of the model consists of an index that synthesizes the energetic and entropic contributions of consciousness from a computationally moral perspective. Attention was modeled through a bottom-up approach, while awareness and consciousness by distinguishing environment from subjective cognitive processes. By testing the solution on visual stimuli eliciting the emotions of happiness, anger, fear, surprise, contempt, sadness, disgust, and the neutral state, it was found that the proposed model is concordant with the scientific evidence concerning covert attention. Comparable results were also obtained regarding studies investigating awareness as a consequence of visual stimuli repetition, as well as those investigating moral judgments to visual stimuli eliciting disgust and sadness. The solution represents a novel approach for defining computational consciousness through artificial emotional activity and morality.

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