In silico prototyping of wetlab experiments
The background, implementation, and graphical interface of the Cybermouse simulation-dynamic information system are outlined. It is believed that simulation-dynamic information systems are the next steps in managing complex information through semi-autonomous software. In particular, by making avail...
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creator | Kunzelman, K.S. Sieburg, H.B. |
description | The background, implementation, and graphical interface of the Cybermouse simulation-dynamic information system are outlined. It is believed that simulation-dynamic information systems are the next steps in managing complex information through semi-autonomous software. In particular, by making available simulation methods based on nonlinear, event-driven dynamics, such systems show emergent behaviors derived from self-organization and are therefore useful tools in education and research.< > |
doi_str_mv | 10.1109/AIHAS.1993.410599 |
format | Conference Proceeding |
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It is believed that simulation-dynamic information systems are the next steps in managing complex information through semi-autonomous software. In particular, by making available simulation methods based on nonlinear, event-driven dynamics, such systems show emergent behaviors derived from self-organization and are therefore useful tools in education and research.< ></description><identifier>ISBN: 9780818640209</identifier><identifier>ISBN: 0818640200</identifier><identifier>DOI: 10.1109/AIHAS.1993.410599</identifier><language>eng</language><publisher>IEEE Comput. Soc. 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In particular, by making available simulation methods based on nonlinear, event-driven dynamics, such systems show emergent behaviors derived from self-organization and are therefore useful tools in education and research.< ></description><subject>Computational modeling</subject><subject>Computer simulation</subject><subject>Discrete event simulation</subject><subject>Immune system</subject><subject>Information systems</subject><subject>Laboratories</subject><subject>Mice</subject><subject>Predictive models</subject><subject>Prototypes</subject><subject>Read-write memory</subject><isbn>9780818640209</isbn><isbn>0818640200</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1993</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj09LxDAUxAMiKGs_gHvqXVrf658k71gWdQsLHtz7kiavS6S2pQnofnsr68xhbvObEeIRIUcEem7affORI1GZVwg10Y1ISGnQqGUFBdCdSEL4hFVVjavvxVM7psEP3k7pvExxipfZj-d06tNvjoPpUv6ZefFfPMbwIG57MwRO_nMjjq8vx90-O7y_tbvmkHlNMeuUYsN63dOXPfxRgNAp5K6wtauURJLGWVa2Zgvo2BWKnZRSF6AYVbkR22utZ-bTvMLNcjldD5W_nftAhg</recordid><startdate>1993</startdate><enddate>1993</enddate><creator>Kunzelman, K.S.</creator><creator>Sieburg, H.B.</creator><general>IEEE Comput. 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It is believed that simulation-dynamic information systems are the next steps in managing complex information through semi-autonomous software. In particular, by making available simulation methods based on nonlinear, event-driven dynamics, such systems show emergent behaviors derived from self-organization and are therefore useful tools in education and research.< ></abstract><pub>IEEE Comput. Soc. Press</pub><doi>10.1109/AIHAS.1993.410599</doi><tpages>6</tpages></addata></record> |
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identifier | ISBN: 9780818640209 |
ispartof | 1993 4th Annual Conference on AI, Simulation and Planning in High Autonomy Systems, 1993, p.220-225 |
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subjects | Computational modeling Computer simulation Discrete event simulation Immune system Information systems Laboratories Mice Predictive models Prototypes Read-write memory |
title | In silico prototyping of wetlab experiments |
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