finding

active

finding:distributed-cognition-in-aviation-operations-examined-via-network-analysis-of-gate-to-gate-operations

Distributed cognition in aviation operations examined via network analysis of gate-to-gate operations

Empirical study showing distributed cognitive processes across multiple human agents and systems; provides precedent for non-AI distributed cognition.

Neighborhood — ranked by edge-count

Thinkers (1)

thinker

N. Stanton
authored
Author of distributed cognition study in aviation; provides empirical grounding for distributed cognition principles in real systems.

Communities (2)

community

Manifold-aware concept steering in neural representations
members_of
Explores geometry of activation/behavior manifolds to enable selective, non-destructive concept interventions.
Neural geometry as fundamental computational substrate
members_of
Geometric structure in neural representations causally determines computation and behavior across diverse architectures, revealed through analysis of learned manifolds and cyclic concepts.

Methods (1)

method

Event Analysis of Systemic Teamwork (EAST)
implements
Network analysis method used to examine distributed cognition in multi-agent systems; demonstrates measurement approach for collective cognitive processes.

Concepts (1)

concept

Distributed Cognition and Emergent Consciousness in Multi-Agent AI Systems
cites
Central research question driving the literature search; frames the exploration of whether machine consciousness emerges from inter-agent processes rather than individual systems.

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.

distributed cognitionconcept0.782
Cognitive process spread across human and non-human agents; a goal of Pask’s and Friedman’s cybernetic diagrams.
Distributed Cognition in AIconcept0.781
Different tasks yield distinct distributions of logic gate types between perception kernels and update networksclaim0.763
Interpretive claim based on circuit analysis across experiments
Current research examines distributed cognition and AI consciousness separately rather than as integrated phenomena where machine consciousness emerges from inter-agent cognitive processes.claim0.754
Main interpretive assertion of the search result; identifies the gap between existing literature domains and the novel research direction.
Connectionist models of cognition and learning identify conditions where collective intelligence can arise bottom-up, using only distributed learning mechanisms without system-level or global feedback.claim0.742
Central claim about the power of connectionism.
These relationships are cognitive architectures regardless of the substrate in which they are implemented.claim0.741
Asserts that organismic identity is fundamentally a cognitive structure.
Networks encode structured geometric concepts that reflect external reality.claim0.738
Core claim of the paper: the right level of description for neural representations is geometric structure mirroring the world.
Technical infrastructure configured for multiple participants provides platform for distributed cognition transforming observers into participants in spatial configuration.claim0.735
Shared claim across Pask and Friedman: computation can emancipate through participation, contra cybernetic critique.