A cybernetic systems approach to abnormality detection in retina images using case based reasoning

Some historical and current trends in reflective practice (RP), artificial intelligence (AI), and engineering design (ED) are presented and compared. Human artistry, context, and connectionist approaches to knowledge are the common threads highlighted. ED is considered to be a type of RP and AI a part of RP. This is supported by an analysis of the transformation processes involved in each. AI and systems are presented as approaches for the formalization of RP at the technical and conceptual levels, respectively. Interconnectedness in a hierarchical fashion and purposeful process loops are defined as the key ingredients of a systems approach. AI techniques that could support a range of ED categories (case-based reasoning, decomposition, and transformation) are identified, as are the wider RP approaches that subsume those categories. The ED, AI, and RP categories are identified as spanning from routine to creative, connectionist to cognitivist, and intuitive to deliberate, respectively.

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Case-Based Reasoning (CBR): Final Report

PsycEXTRA Dataset ◽

10.1037/e508702010-001 ◽

2006 ◽

Keyword(s):

Final Report ◽

Case Based Reasoning ◽

Case Based

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Application of Case based Reasoning in IT Security Incident Response

International Journal of Computing Communication and Instrumentation Engineering ◽

10.15242/ijccie.e0915055 ◽

2015 ◽

Vol 2 (1) ◽

Keyword(s):

Case Based Reasoning ◽

It Security ◽

Incident Response ◽

Security Incident ◽

Case Based

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A Case Based Reasoning Apprpach to the Rental Assessment of Retail Property

10.15396/eres1996_159 ◽

1996 ◽

Keyword(s):

Case Based Reasoning ◽

Retail Property ◽

Case Based

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A Recommendation Model that Combines Self-Organizing Maps and Case-Based Reasoning: A Case of Online Community Recommender Systems

The e-Business Studies ◽

10.15719/geba.9.1.200803.309 ◽

2008 ◽

Vol 9 (1) ◽

pp. 309-327 ◽

Cited By ~ 1

Author(s):

Hyoung-yong Lee

Keyword(s):

Recommender Systems ◽

Online Community ◽

Case Based Reasoning ◽

Self Organizing Maps ◽

Case Based ◽

Self Organizing

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Solving the Message Classification Problem in Voice Interaction Systems

Vestnik MEI ◽

10.24160/1993-6982-2020-5-132-139 ◽

2020 ◽

Vol 5 (5) ◽

pp. 132-139

Author(s):

Ivan E. Kurilenko ◽

◽

Igor E. Nikonov ◽

Keyword(s):

Artificial Intelligence ◽

Classification Problem ◽

Subject Area ◽

Text Messages ◽

Case Based Reasoning ◽

Short Text ◽

Proposed Modification ◽

Voice Interaction ◽

Text Content ◽

Case Based

A method for solving the problem of classifying short-text messages in the form of sentences of customers uttered in talking via the telephone line of organizations is considered. To solve this problem, a classifier was developed, which is based on using a combination of two methods: a description of the subject area in the form of a hierarchy of entities and plausible reasoning based on the case-based reasoning approach, which is actively used in artificial intelligence systems. In solving various problems of artificial intelligence-based analysis of data, these methods have shown a high degree of efficiency, scalability, and independence from data structure. As part of using the case-based reasoning approach in the classifier, it is proposed to modify the TF-IDF (Term Frequency - Inverse Document Frequency) measure of assessing the text content taking into account known information about the distribution of documents by topics. The proposed modification makes it possible to improve the classification quality in comparison with classical measures, since it takes into account the information about the distribution of words not only in a separate document or topic, but in the entire database of cases. Experimental results are presented that confirm the effectiveness of the proposed metric and the developed classifier as applied to classification of customer sentences and providing them with the necessary information depending on the classification result. The developed text classification service prototype is used as part of the voice interaction module with the user in the objective of robotizing the telephone call routing system and making a shift from interaction between the user and system by means of buttons to their interaction through voice.

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