Multiple heads outsmart one: A computational model for distributed decision making
Abstract
Distributed cognition and decision making has been a topic of intense research in the recent years. In this paper, a computational model of distributed decision making using a community of predictive coding agents is developed. The agents are embodied multimodal entities and situated in a shared environment. They have different visibility of the environment due to unique sensory and generative models. We show that communication between agents helps each of them reach a shared decision in a way that cannot be reached by brain processes in a single agent. Using a simulated environment, we show that sensory limitations may lead to incorrect or delayed causal inferences giving rise to conflicts in the mind of a predictive coding agent, and communication helps to resolve such conflicts and overcome the limitations.
Publication Title
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018
Recommended Citation
Kapourchali, M., & Banerjee, B. (2018). Multiple heads outsmart one: A computational model for distributed decision making. Proceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018, 1779-1784. Retrieved from https://digitalcommons.memphis.edu/facpubs/19238
