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easyABMS: A domain-expert oriented methodology for agent-based modeling and simulation
Agent-Based Modeling and Simulation (ABMS) has arisen as new approach to effectively support domain experts to cope with the growing complexity of the problems which they have to face and solve. To date, few methodologies are available which can be exploited by domain experts with limited programmin...
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Published in: | Simulation modelling practice and theory 2010-11, Vol.18 (10), p.1453-1467 |
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container_title | Simulation modelling practice and theory |
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creator | Garro, Alfredo Russo, Wilma |
description | Agent-Based Modeling and Simulation (ABMS) has arisen as new approach to effectively support domain experts to cope with the growing complexity of the problems which they have to face and solve. To date, few methodologies are available which can be exploited by domain experts with limited programming expertise to model and subsequently analyze complex systems typical of their application domains. In this paper the
easyABMS methodology is proposed to overcome the lack of integrated methodologies able to seamlessly guide domain experts from the analysis of the system under consideration to its modeling and analysis of simulation results. The effectiveness of
easyABMS is also experimented through a case study in the logistics domain which concerns the analysis of different policies for managing vehicles used for stacking and moving containers in a transhipment terminal. |
doi_str_mv | 10.1016/j.simpat.2010.04.004 |
format | article |
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easyABMS methodology is proposed to overcome the lack of integrated methodologies able to seamlessly guide domain experts from the analysis of the system under consideration to its modeling and analysis of simulation results. The effectiveness of
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easyABMS methodology is proposed to overcome the lack of integrated methodologies able to seamlessly guide domain experts from the analysis of the system under consideration to its modeling and analysis of simulation results. The effectiveness of
easyABMS is also experimented through a case study in the logistics domain which concerns the analysis of different policies for managing vehicles used for stacking and moving containers in a transhipment terminal.</description><subject>Agent-based methodologies</subject><subject>Agent-based modeling and simulation</subject><subject>Complex systems</subject><subject>Computer simulation</subject><subject>Logistics</subject><subject>Methodology</subject><subject>Model-driven development</subject><subject>Programming</subject><subject>Stacking</subject><subject>Terminals</subject><issn>1569-190X</issn><issn>1878-1462</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNp9kMtOwzAQRS0EEqXwByyyY5ViJ64Ts0AqFS-piAUPsbP8GBdXSRzsFNG_x1VYs5rRzL1XMwehc4JnBBN2uZlF1_ZymBU4jTCdYUwP0ITUVZ0TyorD1M8ZzwnHH8foJMYNxqSuWTVB7yDjbnHz9HKVLTLjW-m6HH56CEPmg4NuAJO1MHx64xu_3mXWh0yu0zxXMu533kDjunUmO5OlK7aNHJzvTtGRlU2Es786RW93t6_Lh3z1fP-4XKxyXZb1kJfSKq0sZ2xuMFS0ZkwZTRTXpbFSMWJLRZmxNeeM8kIpxjTmWHFVcVVYXE7RxZjbB_-1hTiI1kUNTSM78Nso6qKYJyiUJCUdlTr4GANY0QfXyrATBIs9RbERI0WxpygwFYlisl2PNkhffDsIIuqERYNxAfQgjHf_B_wCXIl-lA</recordid><startdate>20101101</startdate><enddate>20101101</enddate><creator>Garro, Alfredo</creator><creator>Russo, Wilma</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20101101</creationdate><title>easyABMS: A domain-expert oriented methodology for agent-based modeling and simulation</title><author>Garro, Alfredo ; Russo, Wilma</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c338t-3afbcbf9665d0e74866bdc1b9c3dfab61f3b46df8996492bb66c090b9b79b2f03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Agent-based methodologies</topic><topic>Agent-based modeling and simulation</topic><topic>Complex systems</topic><topic>Computer simulation</topic><topic>Logistics</topic><topic>Methodology</topic><topic>Model-driven development</topic><topic>Programming</topic><topic>Stacking</topic><topic>Terminals</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Garro, Alfredo</creatorcontrib><creatorcontrib>Russo, Wilma</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Simulation modelling practice and theory</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Garro, Alfredo</au><au>Russo, Wilma</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>easyABMS: A domain-expert oriented methodology for agent-based modeling and simulation</atitle><jtitle>Simulation modelling practice and theory</jtitle><date>2010-11-01</date><risdate>2010</risdate><volume>18</volume><issue>10</issue><spage>1453</spage><epage>1467</epage><pages>1453-1467</pages><issn>1569-190X</issn><eissn>1878-1462</eissn><abstract>Agent-Based Modeling and Simulation (ABMS) has arisen as new approach to effectively support domain experts to cope with the growing complexity of the problems which they have to face and solve. To date, few methodologies are available which can be exploited by domain experts with limited programming expertise to model and subsequently analyze complex systems typical of their application domains. In this paper the
easyABMS methodology is proposed to overcome the lack of integrated methodologies able to seamlessly guide domain experts from the analysis of the system under consideration to its modeling and analysis of simulation results. The effectiveness of
easyABMS is also experimented through a case study in the logistics domain which concerns the analysis of different policies for managing vehicles used for stacking and moving containers in a transhipment terminal.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.simpat.2010.04.004</doi><tpages>15</tpages></addata></record> |
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subjects | Agent-based methodologies Agent-based modeling and simulation Complex systems Computer simulation Logistics Methodology Model-driven development Programming Stacking Terminals |
title | easyABMS: A domain-expert oriented methodology for agent-based modeling and simulation |
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