Content area

Abstract

Summary

Yu et al. (2016) demonstrated that algorithms designed to find efficient routes in standard mazes can be integrated with the natural processes controlling rat navigation and spatial choices, and they pointed out the promise of such “cyborg intelligence” for biorobotic applications. Here, we briefly describe Yu et al.’s work, explore its relevance to the study of comparative cognition, and indicate how work involving cyborg intelligence would benefit from interdisciplinary collaboration between behavioral scientists and engineers.

Details

Title
The promise of cyborg intelligence
Author
Brown, Michael F 1 ; Brown, Alexander A 2 

 Department of Psychology, Villanova University, Villanova, Pennsylvania, USA 
 Department of Mechanical Engineering, Lafayette College, Easton, Pennsylvania, USA 
Pages
5-6
Publication year
2017
Publication date
Mar 2017
Publisher
Springer Nature B.V.
ISSN
15434494
e-ISSN
15434508
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2186139739
Copyright
Learning & Behavior is a copyright of Springer, (2016). All Rights Reserved.