Download Advances in Information and Intelligent Systems by James Studnicki, Chris Eichelberger, John Fisher (auth.), PDF

By James Studnicki, Chris Eichelberger, John Fisher (auth.), Zbigniew W. Ras, William Ribarsky (eds.)

This quantity supplies an summary of study performed by way of CCI school within the region of knowledge & clever platforms. offered papers concentrate on contemporary advances in 4 significant instructions: complicated structures, wisdom administration, wisdom Discovery, and Visualization. an incredible reason behind generating this publication used to be to illustrate a brand new, very important thrust in educational learn the place college-wide interdisciplinary efforts are dropped at endure on huge, normal, and significant difficulties. As proven within the learn defined the following, those efforts needn't be officially equipped joint undertakings (through elements may be) yet are relatively a convergence of pursuits round grand issues. Taken jointly, the sections and chapters during this publication show quite a few tools and instruments that may be utilized to fairly varied varieties of facts and research difficulties yet the place every one produces wisdom and lines that may be mixed, geared up, explored, understood, and utilized in universal methods (for instance, via interactive visualization interfaces).

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Describes these efforts as a coupled modeling approach [19]. Under a hybrid, or coupled, approach, modeling and simulation solutions for individual base systems are integrated in a generalized way with solutions for base system interdependencies. This approach combines the fidelity of existing base system solutions with the recognition that the behavior of complex systems emerges, in significant part, due to the complex interplay among base systems. , cellular towers require electricity for proper operation, rail systems require telecommunications to operate properly the rail switches that coordinate rail traffic and prevent rail collisions).

Map overlays), and geo-visualizations. 3 Integrated Modeling and Simulation Methodology We leverage our integration framework and our context and behavior ontology within an overall methodology for integrated modeling and simulation. This methodology is comprised of five (5) key steps. 1. Base system identification and modeling and simulation development - base system modeling and simulation solutions may be realized by 3rd party products or by instantiating generic built-in models. Our integrated modeling and simulation framework provides a toolkit of three generic base system models: utility networks, transport networks, and channel networks.

Agents can adapt individually on a higher level as well. For example, the rules themselves may change for individual agents, so that even if two agents are in exactly the same local situation, they may react to that situation differently. In general, we will use changes in agent attributes to be related to system-level adaptation, and changes in agent rules to be agent-level adaptation. In this way, the system can adapt to an environment simply because each individual agent reacts to its local environment in a pre-determined way.

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