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Evolution of cooperative behavior in simulation agents
被引：1
作者：
Stroud, PD
[1
]
机构：
[1] Univ Calif Los Alamos Natl Lab, Los Alamos, NM 87545 USA
来源：
APPLICATIONS AND SCIENCE OF COMPUTATIONAL INTELLIGENCE
|
1998年
/
3390卷
关键词：
D O I：
10.1117/12.304811
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ;
0812 ;
0835 ;
1405 ;
摘要：
A simulated automobile factory paint shop is used as a testbed for exploring the emulation of human decisionmaking behavior. A discrete-events simulation of the paint shop as a collection of interacting Java actors is described. An evolutionary cognitive architecture is under development for building software actors to emulate humans in simulations of human-dominated complex systems. In this paper, the cognitive architecture is extended by implementing a persistent population of trial behaviors with an incremental fitness valuation update strategy, and by allowing a group of cognitive actors to share information. A proof-of-principle demonstration is presented.
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页码：243 / 252
页数：10
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