Efficient and self-adaptive rationale knowledge base for visual commonsense reasoning

2022 ◽  
Author(s):  
Zijie Song ◽  
Zhenzhen Hu ◽  
Richang Hong
Keyword(s):  
Knowledge Base ◽  
Commonsense Reasoning ◽  
Self Adaptive

scholarly journals Framing a Knowledge Base for a Legal Expert System Dealing with Indeterminate Concepts

2015 ◽  
Vol 2015 ◽  
pp. 1-14
Author(s):  
Michał Araszkiewicz ◽  
Agata Łopatkiewicz ◽  
Adam Zienkiewicz ◽  
Tomasz Zurek
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Knowledge Base ◽  
Support System ◽  
Well Being ◽  
Commonsense Reasoning ◽  
Computationally Efficient ◽  
Legal Concept ◽  
Legal Expertise ◽  
Parenting Plan

Despite decades of development of formal tools for modelling legal knowledge and reasoning, the creation of a fully fledged legal decision support system remains challenging. Among those challenges, such system requires an enormous amount of commonsense knowledge to derive legal expertise. This paper describes the development of a negotiation decision support system (the Parenting Plan Support System or PPSS) to support parents in drafting an agreement (theparenting plan) for the exercise of parental custody of minor children after a divorce is granted. The main objective here is to discuss problems of framing an intuitively appealing and computationally efficient knowledge base that can adequately represent the indeterminate legal concept of the well-being of the child in the context of continental legal culture and of Polish law in particular. In addition to commonsense reasoning, interpretation of such a concept demands both legal expertise and significant professional knowledge from other domains.

Reliable Composition of MAPE-K Loops in Self-Adaptive Software Systems

2020 ◽  
Vol 10 (3) ◽  
pp. 38-54
Author(s):  
Selma Ouareth ◽  
Soufiane Boulehouache ◽  
Mazouzi Smaine
Keyword(s):  
Complex Systems ◽  
Knowledge Base ◽  
Electric Vehicle ◽  
Adaptive Systems ◽  
Design Approach ◽  
Software Systems ◽  
Adaptive Software ◽  
Control Loops ◽  
Self Adaptive

Self-adaptive systems (SASs) are controlled by autonomic manager (AM). This ensures the QoS of such complex systems within highly dynamic and unpredictable contexts. However, the massive integration of the adaptation abilities increased drastically the complexity of the AMs. To decrease the complexity and ensure correctness adaptation, scholars propose a subdivision into multi-autonomic entities (AEs) as a design approach. In such a design approach, SASs are controlled through multiple interacting AMs implementing each the well-known MAPE-K Loop. In this article, the writers propose a refinement pattern of interacting multiple MAPE-K Loops to achieve global adaptation without conflict. The authors contribute with a notation to describe the interaction of multiple MAPE-K Control Loops. To ensure the coordinated multi-attributes control, the interaction of the AEs is achieved through the knowledge base of the MAPE-K Loops. To validate the proposed pattern, a case study in the field of Electric Vehicle is presented.

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