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Architecture with Multi-Agent for Environmental Risk Assessment by Chemical Contamination

Architecture with Multi-Agent for Environmental Risk Assessment by Chemical Contamination

Sergio Fred Ribeiro Andrade, Lilia Marta Brandão Soussa Modesto
Copyright: © 2017 |Pages: 32
ISBN13: 9781522517566|ISBN10: 1522517561|EISBN13: 9781522517573
DOI: 10.4018/978-1-5225-1756-6.ch008
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MLA

Andrade, Sergio Fred Ribeiro, and Lilia Marta Brandão Soussa Modesto. "Architecture with Multi-Agent for Environmental Risk Assessment by Chemical Contamination." Multi-Agent-Based Simulations Applied to Biological and Environmental Systems, edited by Diana Francisca Adamatti, IGI Global, 2017, pp. 180-211. https://doi.org/10.4018/978-1-5225-1756-6.ch008

APA

Andrade, S. F. & Modesto, L. M. (2017). Architecture with Multi-Agent for Environmental Risk Assessment by Chemical Contamination. In D. Adamatti (Ed.), Multi-Agent-Based Simulations Applied to Biological and Environmental Systems (pp. 180-211). IGI Global. https://doi.org/10.4018/978-1-5225-1756-6.ch008

Chicago

Andrade, Sergio Fred Ribeiro, and Lilia Marta Brandão Soussa Modesto. "Architecture with Multi-Agent for Environmental Risk Assessment by Chemical Contamination." In Multi-Agent-Based Simulations Applied to Biological and Environmental Systems, edited by Diana Francisca Adamatti, 180-211. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-1756-6.ch008

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Abstract

Risk assessment for human health and ecosystems by exposure to chemicals is an important process to aid in the mitigation of affected areas. Generally, this process is carried out in isolated spots and therefore may be ineffective in mitigating. This chapter describes an architecture of a multi-agent system for environmental risk assessment in areas contaminated as often occur in mining, oil exploration, intensive agriculture and others. Plan multiple points in space-time matrix where each agent carries out exposure assessment and the exchange of information on toxicity, to characterize and classify risk in real time. Therefore, it is an architecture model with multi-agent that integrates ontology by semantic representation, classifies risks by decision rules by support vectors machines with multidimensional data. The result is an environment to exchange information that provides knowledge about the chemical contamination, which can assist in the planning and management of mitigation of the affected area.

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