Case-Based Approach to Detect Emergence

Boukehila, Ali; Taleb, Nora

doi:10.1145/3372454.3372484

Cited by 2 publications

(1 citation statement)

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“…CBR paradigm has a base of past experiences, called a case-base, and attempts to solve new problems by recovering similar solutions in this database and adapting them to new problems. CBR, to some extent, mimics the human behavior in activities like management and diagnostics in which the previous knowledge and experience is the driver in looking for the solutions for new near-equivalent problems [7] [8].…”

Section: Introductionmentioning

confidence: 99%

A Methodological Approach to Model CBR-Based Systems

Oliveira¹,

Reale²,

Martins³

2020

JCC

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Artificial intelligence (AI) has been used in various areas to support system optimization and find solutions where the complexity makes it challenging to use algorithmic and heuristics. Case-based Reasoning (CBR) is an AI technique intensively exploited in domains like management, medicine, design, construction, retail and smart grid. CBR is a technique for problem-solving and captures new knowledge by using past experiences. One of the main CBR deployment challenges is the target system modeling process. This paper presents a straightforward methodological approach to model CBR-based applications using the concepts of abstract and concrete models. Splitting the modeling process with two models facilitates the allocation of expertise between the application domain and the CBR technology. The methodological approach intends to facilitate the CBR modeling process and to foster CBR use in various areas outside computer science.

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Section: Introductionmentioning

confidence: 99%