concept
active
concept:connectionism

Connectionism

Central framework proposing intelligence resides in organization of relationships between components, not in individual parts; used to unify individual and collective intelligence.

Neighborhood — ranked by edge-count

Papers (2)

paper

Thinkers (1)

thinker
  • Richard Watson
    studies
    Co-author; Electronics and Computer Science/Institute for Life Sciences, University of Southampton; develops connectionist frameworks for collective intelligence.

Frameworks (1)

framework
  • Hopfield Network
    implements
    A recurrent connectionist architecture that implements associative memory and distributed computation through symmetric weighted connections and Hebbian learning rules. The network converges to stable states through recurrent dynamics, enabling both memory retrieval and combinatorial problem-solving in a fully distributed manner.

Communities (1)

community

Claims (2)

claim

Methods (3)

method
  • Hebbian Learning
    implements
    Principle that correlations strengthen connections; implements distributed learning in connectionist networks without centralized supervision.
  • Deep belief network (DBN)
    implements
    Deep architecture with recurrent connections within layers, can learn compressed representations and retain stable attractors.
  • Multi-layer Perceptron (MLP)
    implements
    Feed-forward neural network with hidden layers, capable of representing non-linearly separable functions.

Concepts (2)

concept
  • Collective Intelligence
    associated_with
    Recognition that selves are composite systems of competent parts; all intelligences are higher-level selves made of cells or components.
  • Substrate Independence
    associated_with
    Idea that functions can be achieved without contingency of particular material or physical medium; used to argue sentience need not require neural tissue.

Conceptual bridges

2-hop · via this concept's ideas

Where ideas in this concept connect to the rest of the corpus — the same concept, an analogy, or a restatement elsewhere.

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.

  • Evolutionary Connectionismframework0.836
    Proposed framework translating connectionist learning principles into natural selection domain to explain ETIs.
  • Connectionist Framework Of Individualityframework0.804
  • Connectionist Models Of Cognitionframework0.788
  • Parallelismmethod0.780
    Attribute: an attempt at dualism and dialogue, running texts alongside each other, but inherently unstable.
  • Connectionist Modelsframework0.771
    Neural network models demonstrating how organized functional relationships emerge via unsupervised learning; basis for evolutionary connectionism analogy.
  • Computationalismframework0.770
    Position that all phenomena can be fully captured as discrete and finite state transitions; grounded in mathematical constructivism
  • Functionalismframework0.757
    Epistemological position that what any phenomenon is is its causal/operational role; rejects hidden essence; foundational to CIMC's stance
  • Connectionist Machine Learningframework0.757
    Analogous framework for understanding how higher-level information arises from lower-level components in a collective system.