Modeling Knowledge in Environmental Analysis: A New Approach to Soundscape Ecology
AbstractPlanning activities are inherently technical, political and organizational exercises, being both constructions of action optimization over time and “social” organizations promoting action. Thus, they require organization and consensus. In this context, the concept of processes that develop based on diffused interactions between different agents appears useful and rather effective. Cognitive agents and reactive agents coexist in a system of relations and interactions. This allows the context in which environmental management and/or planning processes take place to be modeled in its essential parts. Scholars and researchers have often wondered if behavioral proxies of the environment-agent can be singled out for possible inclusion in a multi-agent system (MAS) layout. This challenge is of particular interest today, considering the potential offered by the spread of intelligent sensor networks, able to represent and model various “behaviors” of the environment-agent. Today’s growing interest in research in the field of planning is enhanced by an awareness of the complexity issue embedded in planning. In this framework, this paper is realized as a pilot study on the knowledge of sound and soundscapes as elements characterizing the environment-agent in the context of environmental planning processes. The study reflects a contextual difficulty of collecting extensive data in uneasy conditions: nevertheless it reports results and suggestions useful in an innovative MAS-oriented perspective. View Full-Text
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Milone, F.; Camarda, D. Modeling Knowledge in Environmental Analysis: A New Approach to Soundscape Ecology. Sustainability 2017, 9, 564.
Milone F, Camarda D. Modeling Knowledge in Environmental Analysis: A New Approach to Soundscape Ecology. Sustainability. 2017; 9(4):564.Chicago/Turabian Style
Milone, Flavia; Camarda, Domenico. 2017. "Modeling Knowledge in Environmental Analysis: A New Approach to Soundscape Ecology." Sustainability 9, no. 4: 564.
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