Towards a Multiagent Design Principle: Analyzing an Organizational-Learning Oriented Classifier System

Soft Computing Agents - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-7908-1815-4_6 ◽

2001 ◽

pp. 147-168 ◽

Cited By ~ 2

Author(s):

Keiki Takadama ◽

Takao Terano ◽

Katsunori Shimohara ◽

Koichi Hori ◽

Shinichi Nakasuka

Keyword(s):

Organizational Learning ◽

Design Principle ◽

Classifier System

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Analyzing the roles of problem solving and learning in organizational-learning oriented classifier system

PRICAI’98: Topics in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/bfb0095259 ◽

1998 ◽

pp. 71-82 ◽

Cited By ~ 2

Author(s):

Keiki Takadama ◽

Shinichi Nakasuka ◽

Takao Terano

Keyword(s):

Organizational Learning ◽

Problem Solving ◽

Classifier System

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Multiagent reinforcement learning with organizational-learning oriented classifier system

1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360) ◽

10.1109/icec.1998.699138 ◽

2002 ◽

Cited By ~ 5

Author(s):

K. Takadama ◽

S. Nakasuka ◽

T. Terano

Keyword(s):

Reinforcement Learning ◽

Organizational Learning ◽

Classifier System ◽

Multiagent Reinforcement Learning

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Good solutions will emerge without a global objective function: applying organizational-learning oriented classifier system to printed circuit board design

1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation ◽

10.1109/icsmc.1997.633163 ◽

2002 ◽

Cited By ~ 4

Author(s):

K. Takadama ◽

T. Terano

Keyword(s):

Organizational Learning ◽

Objective Function ◽

Printed Circuit Board ◽

Circuit Board ◽

Classifier System ◽

Printed Circuit ◽

Global Objective

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Robustness in organizational-learning oriented classifier system

Soft Computing ◽

10.1007/s005000100118 ◽

2002 ◽

Vol 6 (3-4) ◽

pp. 229-239 ◽

Cited By ~ 8

Author(s):

K. Takadama ◽

S. Nakasuka ◽

K. Shimohara

Keyword(s):

Organizational Learning ◽

Classifier System

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Influence of Organizational Learning for Multi-Agent Simulation based on an Adaptive Classifier System

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.133.1752 ◽

2013 ◽

Vol 133 (9) ◽

pp. 1752-1761 ◽

Cited By ~ 1

Author(s):

Mhd Irvan ◽

Takashi Yamada ◽

Takao Terano

Keyword(s):

Organizational Learning ◽

Classifier System ◽

Simulation Based ◽

Agent Simulation ◽

Multi Agent

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Exploring Organizational-Learning Oriented Classifier System in Real-World Problems

Applications of Learning Classifier Systems - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-540-39925-4_8 ◽

2004 ◽

pp. 182-200 ◽

Cited By ~ 1

Author(s):

Keiki Takadama

Keyword(s):

Organizational Learning ◽

Real World ◽

Classifier System ◽

Real World Problems

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Institutional Memory and Organizational Learning

PsycCRITIQUES ◽

10.1037/a0013243 ◽

2008 ◽

Vol 53 (40) ◽

Author(s):

Richard W. Ackley

Keyword(s):

Organizational Learning ◽

Institutional Memory

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Organizational Learning and Islamic Militancy

PsycEXTRA Dataset ◽

10.1037/e546482010-004 ◽

2010 ◽

Author(s):

Michael Kenney

Keyword(s):

Organizational Learning ◽

Islamic Militancy

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Implementation of a patient safety collaborative forum facilitates organizational learning from medical error

PsycEXTRA Dataset ◽

10.1037/e577642012-006 ◽

2006 ◽

Author(s):

George Blike ◽

Polly Campion ◽

Evelyn Schlosser

Keyword(s):

Patient Safety ◽

Organizational Learning ◽

Medical Error

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Investigation of hospital accreditation effectiveness and organizational learning promotion from nursing staff perspective: The case of Taiwan

PsycEXTRA Dataset ◽

10.1037/e583132013-009 ◽

2012 ◽

Author(s):

Yu-Hua Yan

Keyword(s):

Organizational Learning ◽

Nursing Staff ◽

Hospital Accreditation

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