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A Birth–Death Toy Model for a Measure of Consciousness

Enrique Canessa

Journal of Artificial Intelligence and Consciousness March 1, 2024 DOI: 10.1142/s2705078524500012 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Theoretical or philosophical paper Peer reviewed
Key points Proposes that a simple birth–death clustering process, formalized with odd and even exponentials, can model a transition from indistinguishable phases to conscious-like states, quantified by an Ouroboros index. Argues that an index value of 0 yields infinite loops, while values approaching 1 indicate transformation into awareness, and suggests the index could help discern conscious-like states in Artificial Intelligence and link consciousness with freedom of will when extended to a complex modulus.

Abstract

The ancient Ouroboros symbolism (one who eats oneself) is here integrated into a simple birth–death clustering process that needed nothing but itself for a transition from indistinguishable phases to a sort of higher-level “conscious” phases. Birth and death coefficients are formulated in terms of odd and even exponentials used to represent a suitable form for conscious states via the internal transfer of information. This toy model may ideally quantify conscious states having inner causes via an Ouroboros index [Formula: see text]. The value [Formula: see text] = 0 lends to infinite loops and the limiting values [Formula: see text] [Formula: see text] 1 disclose transformation into awareness. Relationships with physics theories of consciousness and the use of the Ouroboros index to discern about conscious-like states in Artificial Intelligence systems are discussed. Consciousness and freedom of will may go side-by-side in the model when [Formula: see text] is extended to be a complex number modulus.

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