Abstract
Research in the field of medical image interpretation inspired a multi-agent planning model in which a population of agents reaches global goals pursuing local plans and producing partial results. Cooperation is achieved by collecting results, reanalysing the reached state and starting new plans; local plans are generated and executed in a distributed way. The state is composed of a directed graph, describing the currently obtained results and of an attributed string, concatenating the trace of the performed operations with the current plan. A model of agent and agent generation is presented and an example of application given in the field of liver biopsy interpretation.
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© 1997 Springer-Verlag Berlin Heidelberg
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Bianchi, N., Bottoni, P., Garbay, C., Mussio, P., Spinu, C. (1997). Distributed plan construction and execution for medical image interpretation. In: Keravnou, E., Garbay, C., Baud, R., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIME 1997. Lecture Notes in Computer Science, vol 1211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029474
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DOI: https://doi.org/10.1007/BFb0029474
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