A Performative-Based Information Capacity Calculation Metric for MultiAgent Interaction Protocols
A performative-based information capacity calculation metric for MultiAgent Interaction Protocols is developed. The metric uses Shannon’s L-channel combinatorial information capacity calculation idea. In the approach, MultiAgent System (MAS) protocol is modeled as a discrete noiseless channel and pr...
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Published in | Advances in Artificial Intelligence and Soft Computing pp. 214 - 224 |
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Main Authors | , |
Format | Book Chapter |
Language | English |
Published |
Cham
Springer International Publishing
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Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
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Summary: | A performative-based information capacity calculation metric for MultiAgent Interaction Protocols is developed. The metric uses Shannon’s L-channel combinatorial information capacity calculation idea. In the approach, MultiAgent System (MAS) protocol is modeled as a discrete noiseless channel and provides not data level but language specific information capacity calculation for high level performative-based protocols. The amount of information that flow in MAS due to FIPA-ACL performatives used in given communication protocol is measured and figured out. The unit of measurement is bits per performative. Since the metric is a design time metric, it gives the system designer an opportunity to evaluate his/her design without implementing and testing it. In the application of the proposed metric to FIPA contract net protocol and its iterated versions, we observed a correlation between iteration counts and metric values. |
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ISBN: | 9783319270593 3319270591 |
ISSN: | 0302-9743 1611-3349 |
DOI: | 10.1007/978-3-319-27060-9_17 |