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Planning and navigation as active inference.

Planning and navigation as active inference. Biol Cybern. 2018 Mar 23;: Authors: Kaplan R, Friston KJ Abstract This paper introduces an active inference formulation of planning and navigation. It illustrates how the exploitation-exploration dilemma is dissolved by acting to minimise uncertainty (i.e. expected surprise or free energy). We use simulations of a maze problem to illustrate how agents can solve quite complicated problems using context sensitive prior preferences to form subgoals. Our focus is on how epistemic behaviour-driven by novelty and the imperative to reduce uncertainty about the world-contextualises pragmatic or goal-directed behaviour. Using simulations, we illustrate the underlying process theory with synthetic behavioural and electrophysiological responses during exploration of a maze and subsequent navigation to a target location. An interesting phenomenon that emerged from the simulations was a putative distinction between 'place cells'-that fire when a subgoal is reached-and 'path cells'-that fire until a subgoal is reached. PMID: 29572721 [PubMed - as supplied by publisher]
Source: Biological Cybernetics - Category: Science Authors: Tags: Biol Cybern Source Type: research

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