Ecological heuristics for learning

被引：0

作者：

Bronstein, PM ^{[1
]}

机构：

[1] Univ Michigan, Dept Psychol, Flint, MI 48502 USA

来源：

BEHAVIORAL AND BRAIN SCIENCES | 2000年 / 23卷 / 02期

关键词：

D O I：

10.1017/S0140525X0024243X

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

Domjan, Cusato & Villarreal's target article is reviewed iri the context of historical difficulty for learning studies in discriminating between learned and unlearned components of behavior. The research surveyed in the target article meets the criterion of differentiating between some learned and the unlearned aspects of social behavior, with Pavlovian conditioning shown repeatedly as a route by which reproductive and aggressive behavior is modulated.

引用

页码：251 / +

页数：8

共 50 条

[31] Learning heuristics for weighted CSPs through deep reinforcement learning
Chen, Dingding
Chen, Ziyu
He, Zhongshi
Gao, Junsong
Su, Zhizhuo
APPLIED INTELLIGENCE, 2023, 53 (08) : 8844 - 8863
[32] Machine Learning Approaches to Learning Heuristics for Combinatorial Optimization Problems
Mirshekarian, Sadegh
Sormaz, Dusan
28TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM2018): GLOBAL INTEGRATION OF INTELLIGENT MANUFACTURING AND SMART INDUSTRY FOR GOOD OF HUMANITY, 2018, 17 : 102 - 109
[33] The Importance of the Learning Conditions in Hyper-Heuristics
Loureno, Nuno
Pereira, Francisco B.
Costa, Ernesto
GECCO'13: PROCEEDINGS OF THE 2013 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, 2013, : 1525 - 1532
[34] Document Layout Analysis with Deep Learning and Heuristics
Rezanezhad, Vahid
Baierer, Konstantin
Gerber, Mike
Labusch, Kai
Neudecker, Clemens
PROCEEDINGS OF THE 2023 INTERNATIONAL WORKSHOP ON HISTORICAL DOCUMENT IMAGING AND PROCESSING, HIP 2023, 2023, : 73 - 78
[35] Heuristics of the concrete: Learning from historical objects
Rangachari, P.
BRITISH JOURNAL OF CLINICAL PHARMACOLOGY, 2019, 85 (07) : 1647 - 1647
[36] Learning Decision Trees for the Analysis of Optimization Heuristics
Chiarandini, Marco
LEARNING AND INTELLIGENT OPTIMIZATION, 2010, 6073 : 208 - 211
[37] Learning Generalized Unsolvability Heuristics for Classical Planning
Stahlberg, Simon
Frances, Guillem
Seipp, Jendrik
PROCEEDINGS OF THE THIRTIETH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2021, 2021, : 4175 - 4181
[38] Learning Heuristics With Different Representations for Stochastic Routing
Jia, Ya-Hui
Mei, Yi
Zhang, Mengjie
IEEE TRANSACTIONS ON CYBERNETICS, 2023, 53 (05) : 3205 - 3219
[39] Learning Branching Heuristics for Propositional Model Counting
Vaezipoor, Pashootan
Lederman, Gil
Wu, Yuhuai
Maddison, Chris
Grosse, Roger B.
Seshia, Sanjit A.
Bacchus, Fahiem
THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 12427 - 12435
[40] Learning heuristics for basic block instruction scheduling
Malik, Abid M.
Russell, Tyrel
Chase, Michael
van Beek, Peter
JOURNAL OF HEURISTICS, 2008, 14 (06) : 549 - 569

← 1 2 3 4 5 →