Cognitive bots and algorithmic humans: toward a shared understanding of social intelligence

Journal Article (Review;Journal)

Questions of social behavior are simultaneously among the most fundamental in neuroscience and the most challenging in artificial intelligence. Yet despite decades of work, a unified perspective from the cognitive and computational approaches to the problem has yet to emerge. Recently, however, excitement around the challenges posed to reinforcement learning by multiplayer video games, coupled with the adoption of more complex modeling strategies in social neuroscience, has broadened the interface between the two fields. Here, we review recent progress from both directions, arguing that advances in artificial intelligence provide neuroscientists with valuable tools for modeling social interactions. At the same time, the study of humans as efficient social learners can inform the design of new algorithms for multi-agent systems. We conclude by encouraging a joint approach that incorporates the best of both domains to advance a shared picture of social intelligence.

Full Text

Duke Authors

Cited Authors

  • McDonald, KR; Pearson, JM

Published Date

  • October 1, 2019

Published In

Volume / Issue

  • 29 /

Start / End Page

  • 55 - 62

Electronic International Standard Serial Number (EISSN)

  • 2352-1546

Digital Object Identifier (DOI)

  • 10.1016/j.cobeha.2019.04.013

Citation Source

  • Scopus