Production Rule Based Selection Decision for Dynamic Flexible Workflow

2007 ◽  
Author(s):  
Lican Huang
Keyword(s):  
Production Rule ◽  
Rule Based ◽  
Selection Decision

A Production Rule-Based Framework for Causal and Epistemic Reasoning

2012 ◽  
pp. 120-135 ◽  
Author(s):  
Theodore Patkos ◽  
Abdelghani Chibani ◽  
Dimitris Plexousakis ◽  
Yacine Amirat
Keyword(s):  
Production Rule ◽  
Rule Based ◽  
Epistemic Reasoning

Adapting Multi-Robot Behavior to Communication Atmosphere in Humans-Robots Interaction Using Fuzzy Production Rule Based Friend-Q Learning

2013 ◽  
Vol 17 (2) ◽  
pp. 291-301 ◽  
Author(s):  
Lue-Feng Chen ◽  
◽  
Zhen-Tao Liu ◽  
Fang-Yan Dong ◽  
Yoichi Yamazaki ◽  
...  
Keyword(s):  
Production Rule ◽  
Independent Learning ◽  
Robot System ◽  
Adaptation Mechanism ◽  
Virtual Communication ◽  
Rule Based ◽  
Q Learning ◽  
The Social ◽  
Atmosphere Environment ◽  
Fuzzy Production Rule

A behavior adaptation mechanism in humans-robots interaction is proposed to adjust robots’ behavior to communication atmosphere, where fuzzy production rule based friend-Q learning (FPRFQ) is introduced. It aims to shorten the response time of robots and decrease the social distance between humans and robots to realize the smooth communication of robots and humans. Experiments on robots/humans interaction are performed in a virtual communication atmosphere environment. Results show that robots adapt well by saving 44 and 482 learning steps compared to that by friend-Q learning (FQ) and independent learning (IL), respectively; additionally, the distance between human-generated atmosphere and robot-generated atmosphere is 3 times and 10 times shorter than the FQ and the IL, respectively. The proposed behavior adaptation mechanism is also applied to robots’ eye movement in the developing humans-robots interaction system, calledmascot robot system, and basic experimental results are shown in home party scenario with five eye robots and four humans.

An extended schema and its production rule-based algorithms for assembly data exchange using IGES

2011 ◽  
Vol 58 (9-12) ◽  
pp. 1155-1170 ◽  
Author(s):  
Kai-Mo Hu ◽  
Bin Wang ◽  
Yong Liu ◽  
Jing Huang ◽  
Jun-Hai Yong
Keyword(s):  
Data Exchange ◽  
Production Rule ◽  
Rule Based

A Reasoning Method of Transformer Fault Causes Based on Fuzzy Petri Net

2014 ◽  
Vol 631-632 ◽  
pp. 537-542
Author(s):  
Wei Hua Zhang ◽  
Jin Sha Yuan ◽  
Ke Zhang ◽  
Zhong Li
Keyword(s):  
Petri Net ◽  
Production Rule ◽  
Correct Judgment ◽  
Rule Based ◽  
Automatic Reasoning ◽  
Fuzzy Petri Net ◽  
Matrix Iteration ◽  
The Rich ◽  
Transformer Fault

For a correct judgment on the fault cause of transformers with the rich knowledge in various criteria and guideline, a method of automatic reasoning for the fault cause through fuzzy Petri net has been put forward in this paper. In this method, the knowledge in criteria and guidelines is firstly presented in the form of IF-THEN structure through the production rule, based on which the fuzzy Petri net model of fault cause is established then; and lastly possibility of each fault cause can be worked out through matrix iteration, which means the automatic reasoning is completed. Based on fuzzy Petri net imaging, this method makes the reasoning clearer and the result be got faster. The example calculation verifies that the method is correct and feasible in practical projects.

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