Decision-making in brains and robots - the case for an interdisciplinary approach

被引：8

作者：

Lee, Sang Wan ^{[1
,2
,3
]}

Seymour, Ben ^{[4
,5
,6
]}

机构：

[1] Korea Adv Inst Sci & Technol, Program Brain & Cognit Engn, Dept Bio & Brain Engn, Daejeon, South Korea

[2] KAIST Inst Artificial Intelligence, Daejeon, South Korea

[3] KAIST Inst Hlth Sci & Technol, Daejeon, South Korea

[4] Univ Cambridge, Dept Engn, Computat & Biol Learning Lab, Trumpington St, Cambridge CB2 1PZ, England

[5] Adv Telecommun Res Inst Int, Brain Informat Commun Res Lab Grp, Kyoto, Japan

[6] Natl Inst Informat & Commun Technol, Ctr Informat & Neural Networks, 1-4 Yamadaoka, Suita, Osaka 5650871, Japan

来源：

CURRENT OPINION IN BEHAVIORAL SCIENCES | 2019年 / 26卷

基金：

英国惠康基金;

关键词：

REINFORCEMENT; CONFIDENCE; PAIN; NETWORKS; SYSTEMS; HUMANS; GAME; GO;

D O I：

10.1016/j.cobeha.2018.12.012

中图分类号：

B84 [心理学]; C [社会科学总论]; Q98 [人类学];

学科分类号：

03 ; 0303 ; 030303 ; 04 ; 0402 ;

摘要：

Reinforcement Learning describes a general method for trial-and-error learning, and it has emerged as a dominant framework both for optimal control in autonomous robots, and understanding decision-making in the brain. Despite their common roots, however, these two fields have evolved largely independently. In this perspective, we consider how each now face problems that could potentially be addressed by insights from the other, and argue that an interdisciplinary approach could greatly accelerate progress in both.

引用

页码：137 / 145

页数：9

共 50 条

[21] 2 INSTRUMENTS TO MEASURE INTERDISCIPLINARY BIOETHICAL DECISION-MAKING
BAGGS, JG
[J]. HEART & LUNG, 1993, 22 (06): : 542 - 547
[22] Interdisciplinary Approaches to Regional Risk Reduction Decision-Making
Wein, A. M.
Bernknopf, R. L.
[J]. MODSIM 2007: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION: LAND, WATER AND ENVIRONMENTAL MANAGEMENT: INTEGRATED SYSTEMS FOR SUSTAINABILITY, 2007, : 1660 - 1666
[23] Change and decision-making in the NHS: The case of the care programme approach
Kessler, I
Dopson, S
[J]. PUBLIC MONEY & MANAGEMENT, 1998, 18 (03) : 59 - 64
[24] An alternative approach to medical decision-making: The case of palliative care
Mallet, Donatien
Lemoine, Mael
[J]. MEDECINE PALLIATIVE, 2011, 10 (06): : 275 - 285
[25] Understanding Decision-Making in Educational Contexts: A Case Study Approach
Matthews, Nancy
[J]. LEADERSHIP AND POLICY IN SCHOOLS, 2022, 21 (02) : 417 - 419
[26] ETHICAL DECISION-MAKING IN EPIDEMIOLOGY - THE CASE-STUDY APPROACH
SOSKOLNE, CL
[J]. JOURNAL OF CLINICAL EPIDEMIOLOGY, 1991, 44 : S125 - S130
[27] Decision Making in Complex Systems with an Interdisciplinary Approach
Sokolova, Marina V.
Fernandez-Caballero, Antonio
Gomez, Francisco J.
[J]. AGENTS AND ARTIFICIAL INTELLIGENCE, 2011, 129 : 240 - +
[28] When robots weep: Emotional memories and decision-making
Velasquez, JD
[J]. FIFTEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI-98) AND TENTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICAL INTELLIGENCE (IAAI-98) - PROCEEDINGS, 1998, : 70 - 75
[29] Decision-Making of Communication Robots Through Robot Ethics
Hashimoto, Tomomi
Tao, Xingyu
Suzuki, Takuma
Kurose, Takafumi
Nishikawa, Yoshio
Kagawa, Yoshihito
[J]. JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2021, 25 (04) : 467 - 477
[30] Collective Decision-Making with Bayesian Robots in Dynamic Environments
Pfister, Kai
Hamann, Heiko
[J]. 2022 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2022, : 7245 - 7250

← 1 2 3 4 5 →