Generative Model

#concept1 mention

A generative Model

aims to capture the statistical structure of some set of observed inputs by tracking […] the causal matrix responsible for that very structure. A good generative model for vision would thus seek to capture the ways in which observed lower-level visual responses are generated by an interacting web of causes – for example, the various aspects of a visually presented scene.Clark (2013), 2

In other words, a generative model predicts the causes for what we perceive.

This can happen on multiple levels,See Ramstead et al. (2019) for “a multiscale ontology of cognitive systems“, i.e. a framework for integrating accounts of systems on these different levels.

from individual perception to scientific explanation: our brain tries to figure out (predicts) the objects and movements that cause our visual perception; a scientific model tries to figure out (predicts) the systems and processes, entities and laws that cause experimental observations.

Thus a generative model can be an Implicit Model or an Explicit Model.

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