Autonomous agents and subsumption as models for simulations of population dynamics
This paper considers the use of notions about autonomous agents in the conception of models of artificial life to simulate various population dynamics in natural and artificial environments. It materializes the characteristic behaviors of the agents in populations by means of the subsumption archite...
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creator | Rodrigues Neto, A.C. Lima de Campos, G.A. de Souza, J.T. Roisenberg, M. Marques, V.X. |
description | This paper considers the use of notions about autonomous agents in the conception of models of artificial life to simulate various population dynamics in natural and artificial environments. It materializes the characteristic behaviors of the agents in populations by means of the subsumption architecture. A first model was programmed aiming to simulate the sympatric speciation by means of sexual election, demonstrating as the interaction of the various individuals results in an emergent standard of space segregation. The results had demonstrated that the approach is adequate and that it can be adapted aiming to prove others hypotheses. |
doi_str_mv | 10.1109/ICMLC.2008.4620816 |
format | Conference Proceeding |
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The results had demonstrated that the approach is adequate and that it can be adapted aiming to prove others hypotheses.</description><subject>Adaptation model</subject><subject>Agent based simulations</subject><subject>Artificial life</subject><subject>Autonomous agents</subject><subject>Biological system modeling</subject><subject>Computational modeling</subject><subject>Mathematical model</subject><subject>Organisms</subject><subject>Program processors</subject><subject>Subsumption</subject><issn>2160-133X</issn><isbn>1424420954</isbn><isbn>9781424420957</isbn><isbn>9781424420964</isbn><isbn>1424420962</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kNFKwzAYhSM6cJt7Ab3JC3T-f5KmyeUoOgcTQRS8G2mTSKVtStNe7O1dsZ6bw-HjnItDyD3CFhH04yF_PeZbBqC2QjJQKK_IRmcKBROCgZbimqz-QypuyJKhhAQ5_1qQ1dTTACLDW7KJ8Qcu4jqVnC3J-24cQhuaMEZqvl07XKy1NI5FHJtuqEJLTaRNsK6O1IeexqoZazOBSIOnXejmSO25NU1Vxjuy8KaObjP7mnw-P33kL8nxbX_Id8ekwiwdEi-98j6VgKhKYUvBi8KnqVOFUt7oiZVgwbrSGVsgeiV1UQrNhHGZzxRfk4e_3co5d-r6qjH9-TT_w38BZSBXxQ</recordid><startdate>200807</startdate><enddate>200807</enddate><creator>Rodrigues Neto, A.C.</creator><creator>Lima de Campos, G.A.</creator><creator>de Souza, J.T.</creator><creator>Roisenberg, M.</creator><creator>Marques, V.X.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200807</creationdate><title>Autonomous agents and subsumption as models for simulations of population dynamics</title><author>Rodrigues Neto, A.C. ; Lima de Campos, G.A. ; de Souza, J.T. ; Roisenberg, M. ; Marques, V.X.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-f6f8ff560118c4dc43bbf55e8b88fa98ff5c0d0deceadb11f869bc4924ae7f783</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Adaptation model</topic><topic>Agent based simulations</topic><topic>Artificial life</topic><topic>Autonomous agents</topic><topic>Biological system modeling</topic><topic>Computational modeling</topic><topic>Mathematical model</topic><topic>Organisms</topic><topic>Program processors</topic><topic>Subsumption</topic><toplevel>online_resources</toplevel><creatorcontrib>Rodrigues Neto, A.C.</creatorcontrib><creatorcontrib>Lima de Campos, G.A.</creatorcontrib><creatorcontrib>de Souza, J.T.</creatorcontrib><creatorcontrib>Roisenberg, M.</creatorcontrib><creatorcontrib>Marques, V.X.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Rodrigues Neto, A.C.</au><au>Lima de Campos, G.A.</au><au>de Souza, J.T.</au><au>Roisenberg, M.</au><au>Marques, V.X.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Autonomous agents and subsumption as models for simulations of population dynamics</atitle><btitle>2008 International Conference on Machine Learning and Cybernetics</btitle><stitle>ICMLC</stitle><date>2008-07</date><risdate>2008</risdate><volume>4</volume><spage>2440</spage><epage>2445</epage><pages>2440-2445</pages><issn>2160-133X</issn><isbn>1424420954</isbn><isbn>9781424420957</isbn><eisbn>9781424420964</eisbn><eisbn>1424420962</eisbn><abstract>This paper considers the use of notions about autonomous agents in the conception of models of artificial life to simulate various population dynamics in natural and artificial environments. It materializes the characteristic behaviors of the agents in populations by means of the subsumption architecture. A first model was programmed aiming to simulate the sympatric speciation by means of sexual election, demonstrating as the interaction of the various individuals results in an emergent standard of space segregation. The results had demonstrated that the approach is adequate and that it can be adapted aiming to prove others hypotheses.</abstract><pub>IEEE</pub><doi>10.1109/ICMLC.2008.4620816</doi><tpages>6</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Adaptation model Agent based simulations Artificial life Autonomous agents Biological system modeling Computational modeling Mathematical model Organisms Program processors Subsumption |
title | Autonomous agents and subsumption as models for simulations of population dynamics |
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