title: The promise of cyborg intelligence.
abstract: 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.
authors.affiliation: Department of Psychology, Villanova University, Villanova, Pennsylvania, USA. michael.brown@villanova.edu.
authors.forename: Michael F
authors.initials: MF
authors.lastname: Brown
authors.affiliation: Department of Mechanical Engineering, Lafayette College, Easton, Pennsylvania, USA.
authors.forename: Alexander A
authors.initials: AA
authors.lastname: Brown
mesh_terms: D000465:Algorithms; D000818:Animals; D001185:Artificial Intelligence; D002755:Choice Behavior; D003071:Cognition; D007360:Intelligence; D051381:Rats; D012371:Robotics
keywords: Biorobotics; Cyborg intelligence; Rat cyborgs; Spatial cognition