concept

active

concept:ae-2-embodiment-modeling-output-input-contingencies-and-using-the-model-in-perception-or-control

AE-2: Embodiment: Modeling output-input contingencies and using the model in perception or control

Indicator of embodiment requiring forward models used for perception or motor control.

Neighborhood — ranked by edge-count

Papers (1)

paper

Consciousness in Artificial Intelligence: Insights from the Science of Consciousness
introduces

Concepts (4)

concept

AE-2: Embodiment: Modeling output-input contingencies, including systematic effects, and using this model in perception or control
same_as
Embodiment indicator; systems meeting AE-2 likely but not guaranteed to also meet AE-1
Embodiment
associated_with
The idea that intelligence requires a body to interact with the world; expands beyond physical 3D bodies to virtual and interface-mediated forms.
Forward model (output-input model)
associated_with
A model mapping outputs to expected inputs, used in motor control and perception for embodiment.
Perspective (point of view)
associated_with
Systematic dependence of experience on one's own actions and tracking of this dependence.

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.

AE-1: Agency: Learning from feedback and flexible responsiveness to competing goalsconcept0.786
Indicator of agency requiring goal pursuit and flexibility.
AE-1: Minimal agency: Learning from feedback and selecting outputs to pursue goals, especially with flexible responsiveness to competing goalsconcept0.783
Agency and embodiment indicator; supported by GWT, PRM, and PP; key feature shared by animals and AI agents
The model is able to express many subforms of a persona, with different elicitation methods eliciting different manifestationshypothesis0.762
PSM-derived hypothesis supported by discourse-type facet analysis
E2: Numeral-Base Arithmetic Controlled Studymethod0.753
Quantitative study varying representational familiarity via numeral bases B10/B8/B9 at fixed computational complexity
What Role Does Embodiment Play In Developing Artificialquestion0.751
multiscale embodimentconcept0.747
The recognition that intelligence is realized across many scales and substrates, requiring expansive ethical consideration.
An interplay between causal abstraction and feature geometry deepens mechanistic understanding of language modelsclaim0.742
Methodological claim about the scientific value of combining causal abstraction with representational geometry analysis
Developing a simple, precise denotational model of graphical user interfaces enables proving properties of programs and establishing objective comparisons of library abstraction levels.claim0.735
Authors' core assertion that formal modeling of GUIs provides foundational benefits for language design and program verification.