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]
Key highlights: The St. James, a 450,000-square-foot sports and entertainment center, was fully enclosed as of February. Some 650 contractors and subs are working to get all the pieces in before the scheduled September opening. We toured the building, from the restaurant to the field house to the ice rinks to the water park. To fully grasp just how massive The St. James is, you have to walk it — down its long corridors, across the 160-yard-long, soon-to-be turf field, between its two National…
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Authors: Tranchant C PMID: 29778139 [PubMed - in process]
Authors: Deschamps R, Stankoff B, Vignal C, Benoist JF, Wolf B, Gout O PMID: 29778138 [PubMed - in process]
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