Computational Psychiatry for Computers

被引:11
|
作者
Schulz, Eric [1 ]
Dayan, Peter [1 ,2 ]
机构
[1] Max Planck Inst Biol Cybernet, Tubingen, Baden Wurttembe, Germany
[2] Univ Tubingen, Tubingen, Germany
关键词
UNCERTAINTY; MISBEHAVIOR; COMPETITION; ANXIETY;
D O I
10.1016/j.isci.2020.101772
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Computational psychiatry is a nascent field that attempts to use multi-level analyses of the underlying computational problems that we face in navigating a complex, uncertain and changing world to illuminate mental dysfunction and disease. Two particular foci of the field are the costs and benefits of environmental adaptivity and the danger and necessity of heuristics. Here, we examine the extent to which these foci and others can be used to study the actual and potential flaws of the artificial computational devices that we are increasingly inventing and empowering to navigate this very same environment on our behalf.
引用
收藏
页数:9
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