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Dynamic behavior network

Authors: Csaba Kertesz;

Dynamic behavior network

Abstract

Since the birth of the subsumption architecture (SA) two decades ago, several derivations have been emerged from the original concept. The behavior-based architectures, one of the successors, have been successful to create simple behaviors in a system, resulting more complex behaviors by their interactions. The dynamic behavior network (DBN), introduced in this paper, does not specify a strict hierarchy between the behaviors, however, the stimulus levels and links determinate their actual states in a moment. The dynamic instantiation and destruction of the behaviors make the design and the development of the behaviors easier and the computational resources are utilized more efficiently. The concept of the DBN is presented in this paper, the common and new behavior patterns are examined as well as a practical application based on DBN is described.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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