Abstract
Developing a knowledge-based version of a greenhouse design and simulation tools, DAMOCIA-Design and DAMOCIA-Sim, we realized the convenience of using multiple diagrammatic notations, and their advantages. First, we used an extension of the Task-Method Diagrams of the CommonKADS methodology to model the relation between the different tasks to be done and the methods we could use to solve them. Method Flux Diagrams model the relation between the different elements composing the method. In order to implement the design software, we selected a distributed architecture, DACAS, that integrated agents using behavior definitions. These are modeled as execution plan diagrams. In this work, we present how these execution plan diagrams can be generated in a general way from task-method and method-flux diagrams included into the knowledge model of the system.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Schreiber, G., Akkermans, J.M., Anjewierden, A.A., de Hoog, A., van de Velde, W., Wielinga, B.J.: Knowledge Engineering and Management. The Common KADS Methodology. MIT Press, Cambridge (1999)
Bienvenido, J.F., Corral, A., Marín, R., Guirado, R.: DACAS: A Distributed Architecture for Changeable and Adaptable Simulation. In: Proceedings of International ICSC Symposium on Engineering of Intelligent Systems, EIS 1998, Tenerife, Spain. Artificial Intelligence, vol. 3, pp. 101–107 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bienvenido, J.F., Flores-Parra, I.M. (2004). Automatic Generation of the Behavior Definition of Distributed Design Tools from Task Method Diagrams and Method Flux Diagrams by Diagram Composition. In: Blackwell, A.F., Marriott, K., Shimojima, A. (eds) Diagrammatic Representation and Inference. Diagrams 2004. Lecture Notes in Computer Science(), vol 2980. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25931-2_58
Download citation
DOI: https://doi.org/10.1007/978-3-540-25931-2_58
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21268-3
Online ISBN: 978-3-540-25931-2
eBook Packages: Springer Book Archive