Journal
BIOLOGICAL CYBERNETICS
Volume 112, Issue 4, Pages 323-343Publisher
SPRINGER
DOI: 10.1007/s00422-018-0753-2
Keywords
Active inference; Bayesian; Novelty; Curiosity; Salience; Free energy; Epistemic value; Exploration; Exploitation
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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.
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