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- W4385702990 abstract "Making plans for upcoming actions is a computationally demanding process. To mitigate these demands, agents can build representations – of states, actions, and their sequential relationships – that allow for efficient execution of plans when needed. For example, “bootstrapped” representations can, after sufficient experience, efficiently capture these sequences, allowing them to be used for rapid planning even for novel or changing rewards. However, before such compact representations are available or reliable – for instance, in situations where sequential structure is unknown or changing – individuals may rely on less-compact representations of environmental contingencies. Here, we review recent work on the multitude of representations that can support planning. In particular, we discuss cognitive graphs, a framework with roots in both cognitive psychology and computer science. Conceptualizing representations of experience as forms of graphs places them on a continuum where different kinds of structured sequences can be used to support different kinds of planning-related behaviors. We discuss how each of these forms of cognitive graph are created during learning, and used to transfer, and generalize knowledge across environments. We close with a discussion of future directions for theoretical and empirical work." @default.
- W4385702990 created "2023-08-10" @default.
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- W4385702990 date "2023-08-08" @default.
- W4385702990 modified "2023-10-16" @default.
- W4385702990 title "Cognitive graphs: Representational substrates for planning" @default.
- W4385702990 doi "https://doi.org/10.31234/osf.io/jpq8b" @default.
- W4385702990 hasPublicationYear "2023" @default.
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