hypothesis

active

hypothesis:consciousness-is-the-simplest-learning-algorithm-discoverable-by-evolutionary-search-to-train-a-self-organizing-biological-substrate-to-become-intelligent-in-service-of-agency

Consciousness is the simplest learning algorithm discoverable by evolutionary search to train a self-organizing biological substrate to become intelligent in service of agency

CIMC's specific account of what consciousness is and why it evolved

Source paper

extracted_from

cimcWhitepaper

Neighborhood — ranked by edge-count

Concepts (2)

concept

Self-Organization
supports
Spontaneous emergence of long-range order in networks; modeled as neural and basal cognition.
Bootstrap Problem
supports
The problem of how an unorganized substrate can build coherent models of reality using only its own activity; consciousness is proposed as the solution

Hypotheses (1)

hypothesis

Consciousness precedes complex cognition and is present in infants before perception, self-modeling, language, and reasoning have matured
associated_with
The developmental ordering argument supporting consciousness as the bootstrap mechanism for intelligence

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

Human consciousness is tied to a biological learning algorithm — the simplest algorithm discoverable by evolutionary search to train a self-organizing biological substrate to become intelligent.claim0.935
Core theoretical claim connecting consciousness to biological learning
We hypothesize that consciousness may be at the heart of a universal biological learning algorithm — one that runs on self-organizing groups of communicating cells sharing evolutionary incentives — and that it creates rather than results from organized mental architecture.hypothesis0.892
The Genesis Hypothesis as explicit predictive conjecture
We hypothesize it is possible to search for the consciousness algorithm by recreating analogous conditions of self-organizing information processing on digital computer hardware while posing tasks requiring intelligent agency.hypothesis0.847
The Extended Machine Consciousness Hypothesis as an experimental program
Consciousness is dynamic and creative, not passive awareness—mapping well to active AI system behavior.claim0.825
Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.819
Central methodological claim of the paper.
We hypothesize that general computational machines with sufficient resources possess the necessary and sufficient means to implement consciousness, and that successful implementation can be established via analysis or testing.hypothesis0.819
The central hypothesis of the paper
Consciousness is a phenomenon we have partial sensors for; building better sensors is a research and engineering question.claim0.819
Consciousness is not the result of mental architecture and cognitive ability, but its prerequisite — a necessary precondition for complex learning and intelligent behavior.claim0.818
Genesis Hypothesis claim that consciousness forms before rather than from cognition