{"creation_time": 1689608958, "last_updated": 1689608958, "name": "Two-Stage Task", "definition_text": "This task assess two types of reinforcement learning (RL): model-free and model-based RL. In this task, participants make two sequential decisions that navigate them through two \"stages\" defined by different stimuli. First-stage choices are associated with one of two second stages (e.g., 2a and 2b): one first-stage choice leads to 2a 70% of the time and 2b 30% of the time, while the opposite is true of the other first-stage choice (i.e. 2a occurs 30% of the time and 2b occurs 70% of the time). Each second-stage choice is associated with some probability of receiving a reward. This probability changes slowly over time, requiring continuous learning in order to succeed at the task.", "id": "tsk_Jdo0KE737b9N8", "type": "task", "conditions": [{"creation_time": 1689608990, "last_updated": 1689608990, "name": "choice making", "id": "con_3kSxwv8Hxcr9H", "relationship": "HASCONDITION"}], "concepts": [{"creation_time": 1512660642919, "last_updated": 1512660642919, "def_event_stamp": "2015-12-30T16:14:19", "id_user": "usr_51bc76ae9636c", "id_concept_class": "ctp_C5", "event_stamp": "2015-06-12T21:05:23", "def_id_user": "usr_49a467bf4e0db", "def_id": "def_568402db14149", "name": "reinforcement learning", "alias": "", "definition_text": "the modification of the value placed on potential stimulus/action combinations based on the outcomes associated with those actions in the past", "contrasts": [{"creation_time": 1689609016, "last_updated": 1689609016, "name": "reinforcement learning", "id": "cnt_J9BVOgat8yIyJ"}], "concept_id": "trm_557b4993a0fdd"}], "indicators": [], "external_datasets": [], "implementations": [], "citation": [], "contrasts": [{"creation_time": 1689609016, "last_updated": 1689609016, "name": "reinforcement learning", "id": "cnt_J9BVOgat8yIyJ", "conditions": []}], "batteries": [], "disorders": []}