Integrating Knowledge-Based and Case-Based Reasoning

INTEGRATING CASE-BASED REASONING, KNOWLEDGE-BASED APPROACH AND TSP ALGORITHM FOR MINIMUM TOUR FINDING

Imagine you have traveled to an unfamiliar city. Before you start your daily tour around the city, you need to know a good route. In Network Theory (NT), this is the traveling salesman problem (TSP). A dynamic programming algorithm is often used for solving this problem. However, when the road network of the city is very complicated and dense, which is usually the case, it will take too long fo...

Case-Based Reasoning Integrating with Direct-Case-Linkage for Tacit Knowledge Management

Tacit knowledge is the source of knowledge creation, but the organization and retrieval of tacit knowledge using IT has not been discussed much. In this paper, we defined Internal Knowledge Evolution Network (IKEN) to describe the knowledge evolution process from tacit to explicit, and applied the Case-Based Reasoning (CBR) integrating with Direct-Case-Linkage technique to support the IKEN mana...

?? Esprit Project 9119 Mix Modular Integration of Connectionist and Symbolic Processing in Knowledge-based Systems a Common Architecture for Integrating Case-based Reasoning and Neural Networks

Integrations with case-based reasoning

This commentary succinctly summarizes work in integrating case-based reasoning (CBR) with other reasoning modalities. Including CBR in mixed mode approaches promotes synergies and benefits beyond those achievable using CBR or other individual reasoning approaches alone. Numerous examples of hybrid systems, with pointers to significant references, are provided.

Design, innovation and case-based reasoning

The design task is especially appropriate for applying, integrating, exploring and pushing the boundaries of case-based reasoning. In this paper, we briefly review the challenges that design poses for case-based reasoning and survey research on case-based design ranging from early explorations to more recent work on innovative design. We also summarize the theoretical contributions this researc...

Integrations of Rule-Based and Case-Based Reasoning

Rule-based and case-based reasoning are two popular approaches used for problem solving in intelligent systems. They are natural alternatives in knowledge representation. Rules usually represent general knowledge, whereas cases encompass knowledge accumulated from specific (specialized) situations. Each approach has advantages and disadvantages. Due to their interchangeable nature, rules and ca...