Machine behaviour

被引：0

作者：

Iyad Rahwan

Manuel Cebrian

Nick Obradovich

Josh Bongard

Jean-François Bonnefon

Cynthia Breazeal

Jacob W. Crandall

Nicholas A. Christakis

Iain D. Couzin

Matthew O. Jackson

Nicholas R. Jennings

Ece Kamar

Isabel M. Kloumann

Hugo Larochelle

David Lazer

Richard McElreath

Alan Mislove

David C. Parkes

Alex ‘Sandy’ Pentland

Margaret E. Roberts

Azim Shariff

Joshua B. Tenenbaum

Michael Wellman

机构：

[1] Massachusetts Institute of Technology,Media Lab

[2] Massachusetts Institute of Technology,Institute for Data, Systems & Society

[3] Max Planck Institute for Human Development,Center for Humans and Machines

[4] University of Vermont,Department of Computer Science

[5] Université Toulouse Capitole,Toulouse School of Economics (TSM

[6] Brigham Young University,R), CNRS

[7] Yale University,Computer Science Department

[8] Yale University,Department of Sociology

[9] Yale University,Department of Statistics and Data Science

[10] Yale University,Department of Ecology and Evolutionary Biology

[11] Max Planck Institute for Ornithology,Yale Institute for Network Science

[12] University of Konstanz,Department of Collective Behaviour

[13] University of Konstanz,Department of Biology

[14] Stanford University,Centre for the Advanced Study of Collective Behaviour

[15] Canadian Institute for Advanced Research,Department of Economics

[16] The Sante Fe Institute,Department of Computing

[17] Imperial College London,Department of Electrical and Electronic Engineering

[18] Imperial College London,Department of Political Science

[19] Microsoft Research,College of Computer & Information Science

[20] Facebook AI,Institute for Quantitative Social Science

[21] Facebook Inc,Department of Anthropology

[22] Google Brain,College of Computer & Information Science

[23] Montreal,School of Engineering and Applied Sciences

[24] Northeastern University,Harvard Data Science Initiative

[25] Northeastern University,Department of Political Science

[26] Harvard University,Department of Psychology

[27] Max Planck Institute for Evolutionary Anthropology,Department of Brain and Cognitive Sciences

[28] University of California,Computer Science & Engineering

[29] Davis,undefined

[30] Northeastern University,undefined

[31] Harvard University,undefined

[32] Harvard University,undefined

[33] University of California,undefined

[34] San Diego,undefined

[35] University of British Columbia,undefined

[36] Massachusetts Institute of Technology,undefined

[37] University of Michigan,undefined

来源：

Nature | 2019年 / 568卷

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Machines powered by artificial intelligence increasingly mediate our social, cultural, economic and political interactions. Understanding the behaviour of artificial intelligence systems is essential to our ability to control their actions, reap their benefits and minimize their harms. Here we argue that this necessitates a broad scientific research agenda to study machine behaviour that incorporates and expands upon the discipline of computer science and includes insights from across the sciences. We first outline a set of questions that are fundamental to this emerging field and then explore the technical, legal and institutional constraints on the study of machine behaviour.

引用

页码：477 / 486

页数：9

共 50 条

[1] Machine behaviour
Rahwan, Iyad
Cebrian, Manuel
Obradovich, Nick
Bongard, Josh
Bonnefon, Jean-Francois
Breazeal, Cynthia
Crandall, Jacob W.
Christakis, Nicholas A.
Couzin, Iain D.
Jackson, Matthew O.
Jennings, Nicholas R.
Kamar, Ece
Kloumann, Isabel M.
Larochelle, Hugo
Lazer, David
McElreath, Richard
Mislove, Alan
Parkes, David C.
Pentland, Alex 'Sandy'
Roberts, Margaret E.
Shariff, Azim
Tenenbaum, Joshua B.
Wellman, Michael
[J]. NATURE, 2019, 568 (7753) : 477 - 486
[2] Machine analysis of facial behaviour: naturalistic and dynamic behaviour
Pantic, Maja
[J]. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2009, 364 (1535) : 3505 - 3513
[3] Symbolic Analysis of Machine Behaviour and the Emergence of the Machine Language
Ritt, Roland
O'Leary, Paul
[J]. THEORY AND PRACTICE OF NATURAL COMPUTING (TPNC 2018), 2018, 11324 : 305 - 316
[4] Machine-learned Behaviour Models for a Distributed Behaviour Repository
Jahl, Alexander
Baraki, Harun
Jakob, Stefan
Fax, Malte
Geihs, Kurt
[J]. ICAART: PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 1, 2022, : 188 - 199
[5] RESEARCH OF DYNAMIC BEHAVIOUR AT MACHINE TOOLS
SWEENEY, G
[J]. MASCHINENBAU TECHNIK, 1968, 17 (11): : 573 - &
[6] Evaluation of the thermal behaviour of machine tools
Popov, G
[J]. MANUFACTURING, MODELING, MANAGEMENT AND CONTROL, PROCEEDINGS, 2001, : 537 - 542
[7] Identifying cheating behaviour with machine learning
Kock, Elina
Sarwari, Yamma
Russo, Nancy
Johnsson, Magnus
[J]. 33RD WORKSHOP OF THE SWEDISH ARTIFICIAL INTELLIGENCE SOCIETY (SAIS 2021), 2021, : 29 - 32
[8] Traffic Swarm Behaviour: Machine Learning and Game Theory in Behaviour Analysis
Hollosi, Gergely
Lukovszki, Csaba
Bancsics, Mate
Magyar, Gabor
[J]. INFOCOMMUNICATIONS JOURNAL, 2021, 13 (04): : 19 - 27
[9] Machine learning and social theory: Collective machine behaviour in algorithmic trading
Borch, Christian
[J]. EUROPEAN JOURNAL OF SOCIAL THEORY, 2022, 25 (04) : 503 - 520
[10] A survey of machine learning approaches in animal behaviour
Kleanthous, Natasa
Hussain, Abir Jaafar
Khan, Wasiq
Sneddon, Jennifer
Al-Shamma'a, Ahmed
Liatsis, Panos
[J]. NEUROCOMPUTING, 2022, 491 : 442 - 463

← 1 2 3 4 5 →