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Descripción
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| We present a multi-robot model suitable for study of interactions and emergence of rational behavior. We focus on a grammatical approach, and to demonstrate its advantages, we design a model of an adaptive multi-robot community in terms of eco-grammar systems. We show that this grammatical model, based on the blackbord architecture, can naturally involve reinforcement collective learning. We test two learning algorithms in a common environment with almost reactive co-operating robots. Experimental results show that using the grammatical model, the robot community can be successfully trained to find a close-to-optimal solution to a given NP-complete task of a truss construction. | |
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Internacional
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Si |
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JCR del ISI
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Si |
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Título de la revista
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FUND INFORM |
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ISSN
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0169-2968 |
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Factor de impacto JCR
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0,693 |
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Información de impacto
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Volumen
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76 |
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DOI
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Número de revista
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3 |
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Desde la página
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367 |
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Hasta la página
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381 |
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Mes
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MARZO |
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Ranking
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