Litcius/Paper detail

Mixing memory and desire: How memory reactivation supports deliberative decision‐making

Shaoming Wang, Samuel F. Feng, Aaron M. Bornstein

2021Wiley Interdisciplinary Reviews Cognitive Science28 citationsDOIOpen Access PDF

Abstract

Memories affect nearly every aspect of our mental life. They allow us to both resolve uncertainty in the present and to construct plans for the future. Recently, renewed interest in the role memory plays in adaptive behavior has led to new theoretical advances and empirical observations. We review key findings, with particular emphasis on how the retrieval of many kinds of memories affects deliberative action selection. These results are interpreted in a sequential inference framework, in which reinstatements from memory serve as "samples" of potential action outcomes. The resulting model suggests a central role for the dynamics of memory reactivation in determining the influence of different kinds of memory in decisions. We propose that representation-specific dynamics can implement a bottom-up "product of experts" rule that integrates multiple sets of action-outcome predictions weighted based on their uncertainty. We close by reviewing related findings and identifying areas for further research. This article is categorized under: Psychology > Reasoning and Decision Making Neuroscience > Cognition Neuroscience > Computation.

Topics & Concepts

Construct (python library)Action (physics)Action selectionInferenceCognitive scienceCognitionRepresentation (politics)PsychologyCognitive psychologyAdaptive behaviorComputer scienceAdaptive memoryMental representationSelection (genetic algorithm)Dynamics (music)Artificial intelligenceSocial psychologyNeurosciencePerceptionPedagogyPoliticsPhysicsProgramming languagePolitical scienceQuantum mechanicsLawNeural and Behavioral Psychology StudiesDecision-Making and Behavioral EconomicsMemory and Neural Mechanisms