Abstract
In this article we present an approach for representing a resilient system which has the capability of absorb perturbations and overcome a disaster. A framework called KOSA is depicted, which is a world that contains a set of knowledge describing objectives, states and actions, linked by a set of rules. This link is expressed by a default theory. First, we define resilience as a relation among states and objectives. Secondly, from a given state, extensions are calculated, which provides information where to go to the future state. The connection, among two or more states creates different configurations that we call trajectories. These connections represent an evolution of the knowledge. Consequently, this reveals the existence of a resilient trajectory. Examples of piloting an airplane are concerned through this paper. Eventually, we present a discrete theoretical behavior of the complete model. Finally the notion of distance among extensions is introduced.
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Notes
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Maneuvering Characteristics Augmentation System.
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In fact, there are two types of disturbances, internal (pilot pulls the yoke) and external (changes in the environment). We just mention them but we are not going to detail them because of place unavailable.
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We would like to extend my thanks to the people who contributed their criticisms and comments in the development of this article, either directly or indirectly.
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Vilchis Medina, J.L., Siegel, P., Risch, V., Doncescu, A. (2019). A Resilient Behavior Approach Based on Non-monotonic Logic. In: Martínez-Villaseñor, L., Batyrshin, I., Marín-Hernández, A. (eds) Advances in Soft Computing. MICAI 2019. Lecture Notes in Computer Science(), vol 11835. Springer, Cham. https://doi.org/10.1007/978-3-030-33749-0_32
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