framework
active
framework:diverse-intelligenceDiverse Intelligence
Research program studying intelligence at multiple scales and substrates; proposed as relevant to implications of mnemonic improvisation.
Neighborhood — ranked by edge-count
Papers (5)
paper
Thinkers (3)
thinker
- Michael Levinassociated_withstudies
- Nicolas RouleaustudiesCo-author; neuroscientist studying embodied and bioengineered tissues to model neural diseases and minimal cognitive systems.
- Alan TuringcitesComputer scientist who anticipated the symmetry between morphogenesis and cognition as early as 1952 in his chemical theory of morphogenesis.
Methods (1)
method
- Technique of exposing planarian fragments to ionophores to rewrite bioelectric pattern memory and induce two-headed morphology without genomic change.
Concepts (9)
concept
- Collective Intelligenceassociated_withextendsRecognition 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 Modelsassociated_withTheme issue context: relates to internal models of environment, central to consciousness and cognition across substrates.
- SynthbiosisextendsLevin's proposed framework for mutually beneficial relationships between radically different intelligences.
- Unconventional embodimentsassociated_withCore concept: cells, tissues, life-technology chimeras, and synthetic systems where consciousness and cognition may occur outside brains.
- Topological Constraints on Self-Organisationassociated_with
- Distributed Cognition in AIassociated_with
- AgentusesAny 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
- Multiscale Cognitionmembers_of
Claims (3)
claim
- Biological and artificial agents share causal emergence as an axis of learning and reorganization.associated_withInterpretive assertion bridging Levin's biological cognition work with artificial RL; extends 'minds at all scales' thesis.
- A characterization of the diverse intelligence field provided by the authors.
- Advocates for Diverse Intelligence as the solution to ethical challenges posed by forthcoming diverse minds
Institutes (1)
institute
- Templeton World Charity Foundationassociated_withFunder of the research and the 'Care as Driver of Intelligence' workshop.
Frameworks (5)
framework
- Active Inferenceassociated_withFoundational 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.
- Biogenic Approach To Cognitionsupports
- William James Definition Of IntelligenceimplementsIntelligence as degree of ability to reach the same goal by different means (problem-solving in changing/novel circumstances); extended here to collectives.
Questions (1)
question
- Central gap that Diverse Intelligence is proposed to fill
Events (1)
event
- The essay's publication, serving as the paper node for this extraction.
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 edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- is it possible to define ways in which truly diverse intelligences can be recognized, compared, and understood?question0.803Motivates the development of TAME as a framework for all possible minds.
- Observer-relative competency to identify and solve problems; defined as capacity, not manifest action, across all substrates.
- Intelligences distinct from human minds, including AI and artificial life agents.
- Best-performing variant: aggregates softmax probability mass rather than binary class counts
- Intelligence typically associated with a single organism and its nervous system; argued here to also be a product of collective composition.