Fettweis Neto, Lydia2022-10-052022-10-052022-10http://hdl.handle.net/10230/54270Treball fi de màster de: Master in Cognitive Systems and Interactive MediaDirector: Martí Sànchez-FiblaHumans are often confronted with partial information, nevertheless, the human brain manages to adapt to and act upon the constantly changing environment. A widely accepted idea in psychology, neuroscience and behavioral economics is that multiple distinct systems exist in the human brain which work in conjunction to achieve the best overall outcome. In this view the brain arbitrates between a more deliberate and effortful system and a more habitual and effortless one to use its limited resources more efficiently, while still being able to act in accordance with the dynamic environment in which it is. In this thesis, we are going to study this arbitration through correlates of habituation and deliberation in a virtual reality behavioral experiment based on a one-choice reinforcement learning task. We hope to further our knowledge about these two systems and therefore help to better understand decision-making in humans and its neurophysiological foundations.application/pdfengThis work is licensed under a Creative Commons Attribution- NonCommercial- NoDerivs 3.0 Spain Licenseinfo:eu-repo/semantics/masterThesisHabitual BehaviorDeliberate behaviorDecision-makingPartial ObservabilityAttentionReinforcement LearningModel-FreeModel-BasedSuccessor Representationsinfo:eu-repo/semantics/openAccess