Robotic Behavior based on Formal Grammars

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J.L. Briseno
J.L. Briseno
σ
M.A. Jimnez
M.A. Jimnez
ρ
G. Olague
G. Olague
α Centro de Investigación Científica y de Educación Superior de Ensenada Centro de Investigación Científica y de Educación Superior de Ensenada

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Robotic Behavior based on Formal Grammars

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Abstract

Formal grammars, studied by N. Chomsky for the definition of equivalence with languages and models of computing, have been a useful tool in the development of compilers, programming languages, natural language processing, automata theory, etc. The words or symbols of these formal languages can denote deduced actions that correspond to specific behaviors of a robotic entity or agent that interacts with an environment. The primary objective of this paper pretend to represent and generate simple behaviors of artificial agents. Reinforcement learning techniques, grammars, and languages, as defined based on the model of the proposed system were applied to the typical case of the ideal route on the problem of artificial ant. The application of such techniques proofs the viability of building robots that might learn through interaction with the environment.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

J.L. Briseno. 2018. \u201cRobotic Behavior based on Formal Grammars\u201d. Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 18 (GJCST Volume 18 Issue D2): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
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GJCST-D Classification: I.2.9
Version of record

v1.2

Issue date

September 29, 2018

Language
en
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Formal grammars, studied by N. Chomsky for the definition of equivalence with languages and models of computing, have been a useful tool in the development of compilers, programming languages, natural language processing, automata theory, etc. The words or symbols of these formal languages can denote deduced actions that correspond to specific behaviors of a robotic entity or agent that interacts with an environment. The primary objective of this paper pretend to represent and generate simple behaviors of artificial agents. Reinforcement learning techniques, grammars, and languages, as defined based on the model of the proposed system were applied to the typical case of the ideal route on the problem of artificial ant. The application of such techniques proofs the viability of building robots that might learn through interaction with the environment.

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Robotic Behavior based on Formal Grammars

J.L. Briseno
J.L. Briseno Centro de Investigación Científica y de Educación Superior de Ensenada
M.A. Jimnez
M.A. Jimnez
G. Olague
G. Olague

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