framework
active
framework:diverse-intelligence

Diverse Intelligence

Research program studying intelligence at multiple scales and substrates; proposed as relevant to implications of mnemonic improvisation.

Neighborhood — ranked by edge-count

Thinkers (3)

thinker
  • Michael Levin
    associated_withstudies
  • Co-author; neuroscientist studying embodied and bioengineered tissues to model neural diseases and minimal cognitive systems.
  • Computer scientist who anticipated the symmetry between morphogenesis and cognition as early as 1952 in his chemical theory of morphogenesis.

Methods (1)

method

Concepts (9)

concept
  • Collective Intelligence
    associated_withextends
    Recognition that selves are composite systems of competent parts; all intelligences are higher-level selves made of cells or components.
  • Concept defining self by the spatiotemporal scale and nature of goals a system can pursue; limits of concern demarcate identity.
  • The source paper under extraction — a philosophical essay by Michael Levin arguing that AI debates neglect deeper questions about diverse intelligence, developmental biology, and humanity's future
  • World Models
    associated_with
    Theme issue context: relates to internal models of environment, central to consciousness and cognition across substrates.
  • Levin's proposed framework for mutually beneficial relationships between radically different intelligences.
  • Core concept: cells, tissues, life-technology chimeras, and synthetic systems where consciousness and cognition may occur outside brains.
  • Agent
    uses
    Any autonomous system including living and non-living forms that embodies a perception-action cycle and tries to navigate and persist in an environment

Communities (1)

community

Claims (3)

claim

Institutes (1)

institute

Frameworks (5)

framework
  • Active Inference
    associated_with
    Foundational framework by Karl Friston; the paper extends it to three hierarchical levels for modeling meta-awareness.
  • A 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.
  • The paper's central proposed framework: a structured, non-physical, causally efficacious latent space of patterns ranging from static mathematical truths to full kinds of minds, which 'ingress' into physical embodiments.
  • Intelligence as degree of ability to reach the same goal by different means (problem-solving in changing/novel circumstances); extended here to collectives.

Events (1)

event

Hypotheses (1)

hypothesis
  • The hypothesis that successful RL agents will display causal emergence that is predictive of final reward early in training and whose representational dynamics align with reward improvement.

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.