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Brain Agent Model using Vector State Machine

Tadashi Ae, Keiichi Sakai and Hiroyuki Araki

p. 35-45

    Abstract

    First, we introduce VM(vector state machine) which is generalized from the structured vector addition system, and, next, propose KR/VM model, where KR is the model for knowledge representation, since the conventional AI (Artificial Intelligence) technique is also important. As a result, we obtain a hybrid model of the AI model and the vector state machine, and it will be a good brain agent model which is widely applicable for the practical problems.

    Index

    Keywords

    automaton, agent model, transition system, vector state machine

    Text

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    References

    Bibliographical reference

    Tadashi Ae, Keiichi Sakai and Hiroyuki Araki, « Brain Agent Model using Vector State Machine », CASYS, 12 | 2002, 35-45.

    Electronic reference

    Tadashi Ae, Keiichi Sakai and Hiroyuki Araki, « Brain Agent Model using Vector State Machine », CASYS [Online], 12 | 2002, Online since 15 July 2024, connection on 20 September 2024. URL : http://popups.lib.uliege.be/1373-5411/index.php?id=1626

    Authors

    Tadashi Ae

    Graduate School of Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima, 739-8527 Japan

    By this author

    Keiichi Sakai

    Graduate School of Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima, 739-8527 Japan

    By this author

    Hiroyuki Araki

    Graduate School of Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima, 739-8527 Japan

    By this author

    Copyright

    CC BY-SA 4.0 Deed