framework
active
framework:artificial-lifeArtificial Life
Computational modeling approach studying living/cognitive systems; used to test hypotheses about self-illusion effects without direct intervention.
Neighborhood — ranked by edge-count
Papers (1)
paper
Thinkers (3)
thinker
- Richard Watsonassociated_withCo-author; Electronics and Computer Science/Institute for Life Sciences, University of Southampton; develops connectionist frameworks for collective intelligence.
- Josh Bongardassociated_with
- Carlos Gershensonassociated_with
Concepts (3)
concept
- AffordancesstudiesGibson's ecological psychology concept: relationships between organism abilities and environmental features; central to research question.
- Self As IllusionstudiesCore Buddhist and philosophical concept: self is constructed, impermanent, and distributable rather than singular and enduring.
- Information Theoryassociated_withFramework treating phenomena as information flows and exchanges; adopted by Friedman and others to model design as informational process.
Claims (3)
claim
- Author's methodological assertion: integration of contemplative insight with computational modeling.
- Artificial life will approach the illusion of self not directly, but by replicating its effect within a model.associated_withClaim about methodology: ALife simulates mechanisms underlying self illusion.
- The paper's overarching constructive goal, paralleling Langton's 'life as it could be'
Frameworks (3)
framework
- Artificial Embryogenysubtype_of
- Taxonomy Of Artificial Embryogenysubtype_of
- Synthetic biologysubtype_ofEngineering discipline constructing novel biological parts and systems.
Hypotheses (2)
hypothesis
- Methodological proposal to integrate knowledge from contemplative and cognitive science into AI/artificial life frameworks.
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.
- Synthetic agents (here RL-trained neural networks) whose causal emergence was previously largely unknown; the paper addresses this gap.
- The foundational philosophical question (from Nagel) that motivates the paper's empirical investigation
- Domain where consciousness theories are being applied to synthetic systems; part of broader context of unconventional embodiments.
- The possibility of involuntary inescapable negative valence experience in artificially conscious systems; a central ethical concern for CIMC
- CIMC research direction studying how AI systems develop internal models, form self-representations, and construct coherent personalities from language modeling
- The emerging research domain the paper aims to contribute to: systematic study of consciousness-relevant dynamics in AI