Neural-evolutionary learning in a bounded rationality scenario

被引：0

作者：

de Araújo, RM ^{[1
]}

Lamb, LC ^{[1
]}

机构：

[1] Fed Univ Rio Grande Sul, Inst Informat, BR-91501970 Porto Alegre, RS, Brazil

来源：

NEURAL INFORMATION PROCESSING | 2004年 / 3316卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a neural-evolutionary framework for the simulation of market models in a bounded rationality scenario. Each agent involved in the scenario make use of a population of neural networks in order to make a decision, while inductive learning is performed by means of an evolutionary algorithm. We show that good convergence to the game-theoretic equilibrium is reached within certain parameters.

引用

页码：996 / 1001

页数：6

共 50 条

[1] Evolutionary dynamics and optimal learning under bounded rationality
Cressman, R
Schlag, KH
[J]. ARTIFICIAL INTELLIGENCE IN REAL-TIME CONTROL 1998, 1999, : 61 - 65
[2] An Evolutionary Model of Bounded Rationality and Intelligence
Brennan, Thomas J.
Lo, Andrew W.
[J]. PLOS ONE, 2012, 7 (11):
[3] Hybrid Neural-Evolutionary Model for Electricity Price Forecasting
Srinivasan, Dipti
Zhang Guofan
Khosravi, Abbas
Nahavandi, Saeid
Creighton, Doug
[J]. 2011 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2011, : 3164 - 3169
[4] Neural networks and bounded rationality
Sgroi, Daniel
Zizzo, Daniel J.
[J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2007, 375 (02) : 717 - 725
[5] BOUNDED RATIONALITY AND ORGANIZATIONAL LEARNING
Simon, Herbert A.
[J]. ORGANIZATION SCIENCE, 1991, 2 (01) : 125 - 134
[6] Introduction to learning and bounded rationality
Cho, IK
[J]. JOURNAL OF ECONOMIC THEORY, 2005, 124 (02) : 127 - 128
[7] Evolutionary Foundation of Bounded Rationality in a Financial Market
Kinoshita, Kanta
Suzuki, Kyoko
Shimokawa, Tetsuya
[J]. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2013, 17 (04) : 528 - 544
[8] Author Identification via a Distributed Neural-Evolutionary Hybrid (DiNEH)
Aykent, Sarp
Dozier, Gerry
[J]. IEEE SOUTHEASTCON 2020, 2020,
[9] A novel neural-evolutionary framework for predicting weight on the bit in drilling operations
Dowlatabadi, Masrour
Azizi, Saeed
Dehbashi, Mohsen
Sadeqi, Hamed
[J]. SCIENTIFIC REPORTS, 2023, 13 (01)
[10] Learning Iris Biometric Digital Identities for Secure Authentication: A Neural-Evolutionary Perspective Pioneering Intelligent Iris Identification
Popescu-Bodorin, Nicolaie
Balas, Valentina Emilia
[J]. RECENT ADVANCES IN INTELLIGENT ENGINEERING SYSTEMS, 2012, 378 : 409 - +

← 1 2 3 4 5 →