Instance-Based Cognitive Models of Decision-Making
نویسندگان
چکیده
منابع مشابه
A general instance-based learning framework for studying intuitive decision-making in a cognitive architecture
Cognitive architectures (e.g., ACT-R) have not traditionally been used to understand intuitive decisionmaking; instead, models tend to be designed with the intuitions of their modelers already hardcoded in the decision process. This is due in part to a fuzzy boundary between automatic and deliberative processes within the architecture. We argue that instance-based learning satisfies the conditi...
متن کاملSmog, Cognition and Real-World Decision-Making
Cognitive functioning is critical as in our daily life a host of real-world complex decisions in high-stakes markets have to be made. The decision-making process can be vulnerable to environmental stressors. Summarizing the growing economic and epidemiologic evidence linking air pollution, cognition performance and real-world decision-making, we first illustrate key physiological and psychologi...
متن کاملInstance-based learning in dynamic decision making
This paper presents a learning theory pertinent to dynamic decision making (DDM) called instancebased learning theory (IBLT). IBLT proposes five learning mechanisms in the context of a decision-making process: instance-based knowledge, recognition-based retrieval, adaptive strategies, necessity-based choice, and feedback updates. IBLT suggests in DDM people learn with the accumulation and refin...
متن کاملInstance-Based Decision Making Model of Repeated Binary Choice
We describe an instance-based model of decision-making for repeated binary choice. The model provides an accurate account of existing data of aggregate choice probabilities and individual differences, as well as newly collected data on learning and choice interdependency. In particular, the model provides a general emergent account of the risk aversion effect that does not require any metacogni...
متن کاملInstance-based Learning: A General Model of Repeated Binary Choice
A common practice in cognitive modeling is to develop new models specific to each particular task. We question this approach and draw on an existing theory, instance-based learning theory (IBLT), to explain learning behavior in three different choice tasks. The same instance-based learning model generalizes accurately to choices in a repeated binary choice task, in a probability learning task, ...
متن کامل