Model-Based Reasoning About Cases
نویسندگان
چکیده
Our bioprocess recipe planner Sophist (Aarts & Rousu, 1996) uses a qualitative model to represent a large amount of domain knowledge. This knowledge is used to analyse differences between cases, to construct adaptations, to evaluate suggested plan changes and to explain outcomes. The module for Qualitative Modeling in a CBR system (QMC) was especially developed to support these CaseBased Reasoning tasks. Hence, QMC is tightly integrated in the Sophist framework. Both Sophist (Aarts & Rousu, 1996, Rousu & Aarts, 1996) as well as QMC (Aarts & Rousu, 1997) have been described earlier so this paper briefly describes planning in Sophist and then focuses on some interesting issues that arose during development and deployment of this multimodal reasoner.
منابع مشابه
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...
متن کاملBecoming an Expert Case-based Reasoner: Learning to Adapt Prior Cases
Experience plays an important role in the development of human expertise. One computational model of how experience affects expertise is provided by research on casebased reasoning, which examines how stored cases encapsulating traces of specific prior problem-solving episodes can be retrieved and re-applied to facilitate new problemsolving. Much progress has been made in methods for accessing ...
متن کاملComprehension of factual, nonfactual, and counterfactual conditionals by Iranian EFL learners
A considerable amount of studies have been established on conditional reasoning supporting mental model theory of propositional reasoning. Mental model theory proposed by Johnson- larid and Byrne is an explanation of someone's thought process about how something occurs in the real world. Conditional reasoning as a kind of reasoning is the way to speak about possibilities or probabilities. The a...
متن کاملModel-based Diagnostics for Rocket Systems
A diagnostic software package is currently being developed at NASA Lewis Research Center that utilizes qualitative model-based reasoning techniques. These techniques can provide diagnostic information about the operational condition of the modeled rocket engine system or subsystem. The diagnostic package combines a qualitative model solver with a constraint suspension algorithm. The constraint ...
متن کاملCombining Rules and Cases to Learn Case Adaptation
Computer models of case-based reasoning (CBR) generally guide case adaptation using a fixed set of adaptation rules. A difficult practical problem is how to identify the knowledge required to guide adaptation for particular tasks. Likewise, an open issue for CBR as a cognitive model is how case adaptation knowledge is learned. We describe a new approach to acquiring case adaptation knowledge. I...
متن کامل