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Volumn , Issue , 2006, Pages 121-133

Extending objects to model agents: A collaborative group design framework using the agent UML extension

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EID: 44249114561     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-59140-845-1.ch007     Document Type: Chapter
Times cited : (4)

References (26)
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    • Alhir, S. S. (2003). Learning UML. Sebastopol, CA: Farnham & O'Reilly.
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  • 3
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    • Exploring complexity in a human-environment system: An agent-based spatial model for multidisciplinary and multiscale integration
    • An, L., Linderman, M., Qi, J., Shortridge, A., & Liu, J. (2005). Exploring complexity in a human-environment system: An agent-based spatial model for multidisciplinary and multiscale integration. Annals of the Association of American Geographers, 95(1), 54-79.
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    • An, L.1    Linderman, M.2    Qi, J.3    Shortridge, A.4    Liu, J.5
  • 4
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    • A collaborative GIS method for integrating local and technical knowledge in establishing biodiversity conservation priorities
    • Balram, S., Dragicevic, S., & Meredith, T. (2004). A collaborative GIS method for integrating local and technical knowledge in establishing biodiversity conservation priorities. Biodiversity and Conservation, 13(6), 1195-1208.
    • (2004) Biodiversity and Conservation , vol.13 , Issue.6 , pp. 1195-1208
    • Balram, S.1    Dragicevic, S.2    Meredith, T.3
  • 7
    • 3042695979 scopus 로고    scopus 로고
    • Multiagent simulations and ecosystem management: A review
    • Bousquet, F., & Le Page, C. (2004). Multiagent simulations and ecosystem management: a review. Ecological Modelling, 176(3-4), 313-332.
    • (2004) Ecological Modelling , vol.176 , Issue.3-4 , pp. 313-332
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    • Modelling individual behaviour and group performance in an intelligent agent-based simulation of the tragedy of the commons
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    • (1999) Journal of Environmental Management , vol.56 , Issue.3 , pp. 159-172
    • Deadman, P.J.1
  • 12
    • 84956999889 scopus 로고    scopus 로고
    • Understanding climate policy using participatory agent-based social simulation
    • Downing, T. E., Moss, S., & Pahl-Wostl, C. (2001). Understanding climate policy using participatory agent-based social simulation. In MultiAgent-Based Simulation (Vol. 1979, pp. 198-213).
    • (2001) MultiAgent-Based Simulation , vol.1979 , pp. 198-213
    • Downing, T.E.1    Moss, S.2    Pahl-Wostl, C.3
  • 14
    • 0034940172 scopus 로고    scopus 로고
    • Environmental initiative prioritization with a Delphi approach: A case study
    • Gokhale, A. A. (2001). Environmental initiative prioritization with a Delphi approach: A case study. Environmental Management, 28(2), 187-193.
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    • Gokhale, A.A.1
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    • A translation approach to portable ontology specifications
    • Gruber, T. R. (1992). A translation approach to portable ontology specifications. Knowledge Acquisition, 5, 199-220.
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  • 16
    • 0030318096 scopus 로고    scopus 로고
    • Theory and applications of the Delphi technique: A bibliography (1975-1994)
    • Gupta, U. G., & Clarke, R. E. (1996). Theory and applications of the Delphi technique: a bibliography (1975-1994). Technological Forecasting and Social Change, 53, 185-211.
    • (1996) Technological Forecasting and Social Change , vol.53 , pp. 185-211
    • Gupta, U.G.1    Clarke, R.E.2
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    • Planning open spaces for wildlife I: Selecting focal species using a Delphi survey approach
    • Hess, G. R., & King, T. J. (2002). Planning open spaces for wildlife I: Selecting focal species using a Delphi survey approach. Landscape and Urban Planning, 58, 25-40.
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  • 18
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    • Holsapple, C.W.1    Joshi, K.D.2
  • 19
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    • Agent UML notation for multiagent system design
    • Huget, M. P. (2004). Agent UML notation for multiagent system design. IEEE Internet Computing, 8(4), 63-71.
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    • Huget, M.P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.