How does someone react when he faces a critical situation in his life? In this paper we present an agent-based model for simulating people’s behaviors in those particular situations. Coping strategies are at the heart of our model and we use some strategies developed in the area of psychology. We show the first step of our implementation architecture. We are currently implementing our model by ...

A desired capability of automatic problem solvers is to explain their results. Such explanations should justify that the solution proposed by the problem solver arises from the known domain knowledge. In this paper we discuss how the explanations can be used in CBR methods in order to justify the results in classification tasks and also for solving new problems.

the form of two different types of cases: plan cases and contextual cases.

This paper presents Objectdirected Case Retrieval Nets, a memory model developed for an application of Case-Based Reasoning to the task of technical diagnosis. The key idea is to store cases, i.e. observed symptoms and diagnoses, in a network and to enhance this network with an object model encoding knowledge about the devices in the application domain.

In this paper, we explore the hypothesis that episodic memory is a critical component for cognitive architectures that support general intelligence. Episodic memory overlaps with case-based reasoning (CBR) and can be seen as a taskindependent, architectural approach to CBR. We define the design space for episodic memory systems and the criteria any implementation must meet to be useful in a cog...

When reasoning about the facts of a case, we typically use stories to link the known events into coherent wholes. One way to establish coherence is to appeal to past examples, real or fictitious. These examples can be chosen and critiqued using the case-based reasoning (CBR) techniques from the AI and Law literature. In this paper, we apply these techniques to factual stories, assessing a story...

So far, Case-based Reasoning has not become as successful in medicine as in some other application domains. One, probably the main reason is that on the one side in Case-based Reasoning the adaptation problem could not be solved in a general way. On the other side in medicine adaptation i s often more difficult than in other domains, because usually more and complex features have to be consider...

When human tutors engage in dialogue, they freely exploit all aspects of the mutually known context, including the previous discourse. Utterances that do not draw on previous discourse seem awkward, unnatural, or even incoherent. Previous discourse must be taken into account in order to relate new information effectively to recently conveyed material , and to avoid repeating old material that w...

By large-scale manufacturing, we refer to the manufacture of a few large, complex items over a long period of time as opposed to the manufacture of many smaller items during a shorter period of time. For example, more than five years are required to build one ship, whereas thousands of automobiles are built at a single plant during one year. Further, thousands of person-years go into the making...

Increasing diversity for case-based reasoning (CBR) is an issue that has recently drawn the attention of researchers in the CBR field. Several diversification techniques have been proposed and discussed in the literature. However, whether and to what extent those techniques can bring about benefits to end-users remains in question. In this paper, we report an experiment in applying a diversific...