framework
active
framework:unlimited-associative-learning-ualUnlimited Associative Learning (UAL)
A proposed marker of consciousness and cognitive transition discussed by Ginsburg and Jablonka.
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Papers (1)
paper
Thinkers (1)
thinker
- Simona GinsburgintroducesProponent of Unlimited Associative Learning as a marker of consciousness.
Concepts (1)
concept
- Cognitive Light Coneassociated_withConcept defining self by the spatiotemporal scale and nature of goals a system can pursue; limits of concern demarcate identity.
Claims (1)
claim
- The capacity for unlimited associative learning is not a good indicator for consciousness in AI.contradictsRejecting UAL as a reliable indicator for artificial systems.
Frameworks (1)
framework
- Tame Technological Approach To Mind Everywhereassociated_withA conceptual framework for understanding cognition and intelligence across diverse substrates—including evolved biological systems, artificial systems, and bioengineered systems—using empirically-grounded, gradualist approaches. TTAME enables comparative analysis of mind-like phenomena regardless of the physical or biological substrate in which it emerges, facilitating cross-disciplinary study of unconventional intelligences.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Open-ended capacity for associative learning proposed as a transition marker for consciousness.
- Sentience criterion; capacity occurs even in gene regulatory networks and non-neural morphogenetic agents.
- Tuples are referenced by matching typed fields, akin to a relational database.
- Learning that builds a low-dimensional model of input data without error signals or rewards; Hebbian learning is an example.
- Machine learning paradigm where agents learn to maximize cumulative reward through interaction.