Rule Acquisition for Cognitive Agents by Using Estimation of Distribution Algorithms
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
Page 185-190
published_at 2008-12
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| File | |
| Title ( eng ) |
Rule Acquisition for Cognitive Agents by Using Estimation of Distribution Algorithms
|
| Creator |
Nishimura Tokue
Handa Hisashi
|
| Source Title |
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
|
| Start Page | 185 |
| End Page | 190 |
| Abstract |
Cognitive Agents must be able to decide their actions based on their recognized states. In general, learning mechanisms are equipped for such agents in order to realize intellgent behaviors. In this paper, we propose a new Estimation of Distribution Algorithms (EDAs) which can acquire effective rules for cognitive agents. Basic calculation procedure of the EDAs is that 1) select better individuals, 2) estimate probabilistic models, and 3) sample new individuals. In the proposed method, instead of the use of individuals, input-output records in episodes are directory used for estimating the probabilistic model by Conditional Random Fields. Therefore, estimated probabilistic model can be regarded as policy so that new input-output records are generated by the interaction between the policy and environments. Computer simulations on Probabilistic Transition Problems show the effectiveness of the proposed method.
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| NDC |
Technology. Engineering [ 500 ]
|
| Language |
eng
|
| Resource Type | conference paper |
| Publisher |
IEEE SMC Hiroshima Chapter
|
| Date of Issued | 2008-12 |
| Rights |
(c) Copyright by IEEE SMC Hiroshima Chapter.
|
| Publish Type | Version of Record |
| Access Rights | open access |
| Source Identifier |
[ISSN] 1883-3977
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