A Canonical Theory of Dynamic Decision-Making

A Canonical Theory of Dynamic Decision-Making

Decision-making behavior is studied in many very different fields, from medicine and economics to psychology and neuroscience, with major contributions from mathematics and statistics, computer science, AI, and other technical disciplines. However the conceptualization of what decision-making is and methods for studying it vary greatly and this has resulted in fragmentation of the field. A theo...

A Dynamic Theory of Collaboration and Decision Making

The model presented in this paper incorporates various causal and feedback loops in the structure of the dynamic decision-making processes and performance in nonequity alliances. According to this structure, partnership performance is driven mainly by the nature of the decision-making and implementation processes of the partners. These, in turn, are affected by two external influences, the sett...

A Theory of Decision Making Under Dynamic Context

The dynamics of simple decisions are well understood and modeled as a class of random walk models [e.g. 1–4]. However, most real-life decisions include a dynamically-changing influence of additional information we call context. In this work, we describe a computational theory of decision making under dynamically shifting context. We show how the model generalizes the dominant existing model of ...

Computational modeling of dynamic decision making using connectionist networks

In this research connectionist modeling of decision making has been presented. Important areas for decision making in the brain are thalamus, prefrontal cortex and Amygdala. Connectionist modeling with 3 parts representative for these 3 areas is made based the result of Iowa Gambling Task. In many researches Iowa Gambling Task is used to study emotional decision making. In these kind of decisio...

A Theory of Decision-Making