| R.J.A. Buhr, M. Elammari, T. Gray, S. Mankovski, A High Level Visual Notation for Understanding and Designing Collaborative, Adaptive Behaviour in Multi-agent Systems, Hawaii International Conference on System Sciences (HICSS'98), Hawaii, January 1998. |
....Research is still ongoing as to its application to real size problems. Use cases were utilized for the analysis of interactions in [33] More recently, UCMs have also been used to tackle the problems of feature interactions and resolution of conflicts in multi agent systems ( 11] 12][13][14] 15] 16] The UCM notation helps designers with the visualization of Use Case Maps for the Design and the Validation of Interaction Free Telephony Features 12 November, 1998 23:12 Methodology p. 2 problematic situations and their avoidance at a high level of abstraction. An approach where ....
Buhr, R.J.A., Elammari, M., Gray, T., and Mankovski, S. (1998) "A High Level Visual Notation for Understanding and Designing Collaborative, Adaptive Behaviour in Multi-agent Systems", Hawaii International Conference on System Sciences (HICSS'98), Hawaii, January 1998. http://www.sce.carleton.ca/ftp/pub/UseCaseMaps/agents-ucms.pdf
....may be selected according to different system conditions at the time a scenario reaches the stub. Stubs of this kind are shown in dashed outline to distinguish them from stubs that are only used for static path decomposition. There are other UCM features that are useful for agent systems (see [7] for more details) 4.2 The High Level Model The discovery phase is an exploratory phase that leads to the high level model definition. In this phase, the agents are discovered and their high level behaviour identified. The ultimate result is UCMs of the system that, in diagrammatic form, ....
R.J.A. Buhr, M. Elammari, T. Gray, S. Mankovski, A High Level Visual Notation for Understanding and Designing Collaborative, Adaptive Behaviour in Multi-agent Systems, Hawaii International Conference on System Sciences (HICSS'98), Hawaii, January 1998.
....may then come as a surprise. Ways are needed of making feature interaction problems more visible to software developers and of enabling software solutions to flow from high level descriptions. In our work, the visibility problem is addressed with a technique called Use Case Maps (UCMs) 3] 4][6][7] UCMs provide system wide path structures that enable people to get a global understanding of large scale dynamic situations. Feature interactions are seen visually in the UCMs and can be resolved by design at the UCM level. This approach arises from a view that feature interaction is an ....
R.J.A. Buhr, M. Elammari, T. Gray, S. Mankovski, A High Level Visual Notation for Understanding and Designing Collaborative, Adaptive Behaviour in Multi-agent Systems, Hawaii International Conference on System Sciences (HICSS'98), Hawaii, January 1998. http://www.sce.carleton.ca/ftp/pub/UseCaseMaps/agents-ucms.pdf
....into special software components called agents, to enable them to work at a metalevel, compared to ordinary software, that will enable them to adapt and evolve. An example of a metalevel is provided by the well known BDI (Beliefs, Desires, Intentions) model [15] This paper and a companion paper [10] come out of a research project on high level design and prototyping of agent systems [4] The contribution of this paper is to illustrate the concepts described in the companion paper [10] by applying them to specific example, namely the feature interaction problem. We show by example how the ....
.... is provided by the well known BDI (Beliefs, Desires, Intentions) model [15] This paper and a companion paper [10] come out of a research project on high level design and prototyping of agent systems [4] The contribution of this paper is to illustrate the concepts described in the companion paper [10] by applying them to specific example, namely the feature interaction problem. We show by example how the visual UCM representations help human understanding of agent systems as systems. We point the way towards using this understanding to develop agent internal models capable of resolving ....
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R.J.A. Buhr, M. Elammari, T. Gray, S. Mankovski, A High Level Visual Notation for Understanding and Designing Collaborative, Adaptive Behaviour in Multiagent Systems, to appear in Proc. HICSS'98, Hawaii, January 98.
....design details of individual agents. This way must be both easily understood by telecom software designers and easily related to BDI style solutions for individual agents. In the research described here, we satisfy these requirements with a technique called Use Case Maps (UCMs) 4] 5] 6] 7][8][9] We are developing a high level design and prototyping environment with UCMs at the top end, a rule based prototyping environment connected to a telephone system simulator at the bottom end, and BDI style models in the middle [10] For clarity of exposition to an audience not familiar with ....
R.J.A. Buhr, M. Elammari, T. Gray, S. Mankovski, A High Level Visual Notation for Understanding and Designing Collaborative, Adaptive Behaviour in Multi-agent Systems, Hawaii International Conference on System Sciences (HICSS'98), Hawaii, January 1998. http://www.sce.carleton.ca/ftp/pub/UseCaseMaps/agents-ucms.ps
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