This paper presents CookingCAKE, a framework for the adaptation of cooking recipes represented as workflows. CookingCAKE integrates and combines several workflow adaptation approaches applied in process-oriented case based reasoning (POCBR) in a single adaptation framework, thus providing a capable tool for the adaptation of cooking recipes. The available case base of cooking workflows is analy...

For interpretation of ultra sonic images an image interpretation system based on case based reasoning is proposed. We describe the case representation and the case based reasoning process.

The domain of cookery has been of interest for Case-Based Reasoning (CBR) research for many years since the CHEF case-based planning system in the mid 1980s. This paper returns to look at this domain, emphasising a knowledge-light approach. Our approach focuses on; the design of a structured case representation which encapsulates the details of a recipe, on leveraging WordNet for identifying fo...

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Motivated by the concerns expressed by many academics over difficulties facing the digital forensic field, user-contributory case-based reasoning (UCCBR); a method for auditing digital forensic investigations is presented. This auditing methodology is not designed to replace a digital forensic practitioner but to aid their investigation process, acting as a method for reducing the risks of miss...

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 is often more difficult than in other domains, because usually more and complex features have to be considere...

Human reasoning across experiential cases in episodic memory seems quite different from conventional artificial reasoning with conceptual representations by systematically manipulating them according to logical rules. One difference is that in humans linkages between particular experiences can apparently be made in a number of qualitatively different ways, forming recollective chains along diff...

In this paper we study the topic of CBR systems learning from observations in which those observations can be represented as stochastic policies. We describe a general framework which encompasses three steps: (1) it observes agents performing actions, elicits stochastic policies representing the agents’ strategies and retains these policies as cases. (2) The agent analyzes the environment and r...

We describes theoretical and experimental results for the extrinsic calibration of sensor platform consisting of a camera and a laser range finder. The proposed technique requires the system to observe a planar pattern in several poses, and the constraints are based upon data captured simultaneously from the camera and the laser range finder. The planar pattern surface and the laser scanline on...