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Communication Dans Un Congrès Année : 2022

Towards a Semantic Model for Wise Systems - A Graph Matching Algorithm

Résumé

Wise systems refer to distributed communicating software objects, which we named Wise Objects, able to autonomously learn how they behave and how they are used. They are designed to be associated either to software or physical objects (e.g., home automation) to adapt to end users while demanding little attention from them. Construction of such systems requires at least two views: on one side, a conceptual view relying on knowledge given by developers to either control or specify the expected system behavior. On the other side, wise systems are provided with mechanisms to generate their own view based on behavior-related knowledge acquired during their learning processes. The problem is that while a conceptual view is understandable by human (i.e., developers, end users, etc.), a view generated by a software system contains mainly numerical information with mostly no meaning for human. In this paper, we address the issue of how to relate both views using two state-based formalisms: Input Output Symbolic Transition Systems for conceptual views and State Transition Graphs for views generated by the wise systems. Our proposal is to extend the generated knowledge with the conceptual knowledge using a matching algorithm founded on graph morphism. This provides the ability to make wise systems’ generated knowledge understandable by human and to enable human evaluation of wise systems’ outputs.
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Dates et versions

hal-03898724 , version 1 (14-12-2022)

Identifiants

  • HAL Id : hal-03898724 , version 1

Citer

Abdelhafid Dahhani, Ilham Alloui, Sébastien Monnet, Flavien Vernier. Towards a Semantic Model for Wise Systems - A Graph Matching Algorithm. ADVCOMP 2022 : The Sixteenth International Conference on Advanced Engineering Computing and Applications in Sciences, Nov 2022, Valencia, Spain. ⟨hal-03898724⟩
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