Human activity has altered natural landscape patterns and ecosystem functioning to varying degrees over the course of recorded history (Turner 1990). Even the act of “preserving” a wilderness landscape results from a societal decision based on the value placed on that landscape. Such acts, as with many ecosystem uses, rarely happen by accident. Therefore, in order to assess ecosystem function a...

We introduce the Generic Agent Architecture (GAA) along with Biter—an implementation of our GAA for the RoboCup domain. The GAA incorporates an elegant object-oriented design meant to handle the type of activities typical for an agent in a multiagent system. These activities include reactive responses, long-term behaviors, and conversations with other agents. We also show how small modification...

Multi-agent systems allow for robust and flexible solutions, but require complex coordination to operate efficiently. Efficient task allocation is difficult even when agents and tasks are known and unchanging, yet in many circumstances agents might fail or the environment is only partially observable. Our work explores models for large multi-agent systems in partially observable environments to...

Alongside with the visual symbols of status and identity in the late modernity, the bodies have become converting to express symbol of identity and personality. Body care and supervision provide this opportunity for individuals to keep a clear narrative of their identity and put it watching others. This research has been done with the aim of investigating the relationship between body managemen...

Forest structure is a key element to determine the capacity of mountain forests to protect people and their assets against natural hazards. Airborne laser scanning offers new ways for describing forest structure in 3D. This study aimed at developing a generic automated approach for assessing and quantifying forest structure using landscape metrics on height class patches of the normalized crown...

this paper explores the capabilities of multi-objective particle swarm optimization algorithmin a simulation-optimization model for solving waste load allocation problems. the main goals are totaltreatment costs, violation of the water quality standards and equity. in this research, the water qualitysimulation model is coupled with a multi-objective optimization model, mopso. in order to derive...