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A Higher-Order Agent Model with Contextual Planning Management for Ambient Systems

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Transactions on Computational Collective Intelligence XVI

Abstract

This paper presents a concrete software architecture dedicated to ambient intelligence (AmI) features and requirements. The proposed behavioral model, called Higher-order Agent (HoA) captures the evolution of the mental representation of the agent and the one of its plan simultaneously. Plan expressions are written and composed using a formal algebraic language, namely AgLOTOS, so that plans are built automatically and on the fly, as a system of concurrent processes. Based on a specific semantics, a guidance service is also proposed to assist the agent in its execution. Moreover due to the specific structure of AgLOTOS expressions, the update of sub-plans is realized automatically accordingly to the revising of intentions, hence maintaining the consistency of the agent.

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Notes

  1. 1.

    RSSI: Received Signal Strength Indication.

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Correspondence to Ahmed-Chawki Chaouche .

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Chaouche, AC., El Fallah Seghrouchni, A., Ilié, JM., Saïdouni, D.E. (2014). A Higher-Order Agent Model with Contextual Planning Management for Ambient Systems. In: Kowalczyk, R., Nguyen, N. (eds) Transactions on Computational Collective Intelligence XVI. Lecture Notes in Computer Science(), vol 8780. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44871-7_6

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  • DOI: https://doi.org/10.1007/978-3-662-44871-7_6

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