Conceptual analogy (CA) is an approach, that integrates conceptualization based on prior experiences, i.e. case memory organization, and analogical reasoning (Borner and Janetzko 1995, Borner and Wode 1995). It was prototypically implemented and tested to support the design process in building engineering (B orner 1994a). This paper reviews the development of CA. It provides the basic assump...

Many diverse sources can contribute to the successful interpretation of sensory input. One fundamental problem for perception is integrating these sources into the interpretation process. We present a hybrid methodology for perception that addresses this integration problem. The approach integrates special-purpose analogical representations used to store partially interpreted sensor data with a...

This paper presents a systematic method for synthesis of heat exchanger networks, the proposed algorithm consists of three sequential steps to select the optimal approach temperature: i) Estimation of normalized minimum approach temperature, normalized minimum hot utility and normalized minimum cold utility. ii) Fuzzy analogical gates network. iii) Selection of the best weight index. Two analog...

We examined activation of concepts during analogical reasoning. Subjects made either analogical judgments or categorical judgments about four-word sets. After each four-word set, they named the ink color of a single word in a modified Stroop task. Words that referred to category relations were primed (as indicated by longer response times on Stroop color naming) subsequent to analogical judgmen...

Human action recognition remains a difficult problem for AI. Traditional machine learning techniques can have high recognition accuracy, but they are typically black boxes whose internal models are not inspectable and whose results are not explainable. This paper describes a new pipeline for recognizing human actions from skeleton data via analogical generalization. Specifically, starting with ...

Children with autism spectrum disorders (ASD) exhibit a deficit in spontaneously recognizing abstract similarities that are crucial for generalizing learning to new situations. This may contribute to deficits in the development of appropriate schemas for navigating novel situations, including social interactions. Analogical reasoning is the central cognitive mechanism that enables typically dev...

Analogical reasoning plays an important role for cognitively demanding tasks. A major challenge in computing analogies concerns the problem of adapting the representation of the domains in a way that the analogous structures become obvious, i.e. finding and, in certain circumstances, generating appropriate representations that allow for computing an analogical relation. We propose to resolve th...

ion in Inductive Theorem Proving by Analogy Erica Melis Universit at des Saarlandes, Fachbereich Informatik, D-66041 Saarbr ucken, Germany, [email protected] Abstract The abstraction described in this paper has been utilized to restrict the retrieval of source plans, to choose appropriate analogical mappings, and to trigger reformulations in the system ABALONE. The key idea is that abstracti...

Biologically inspired design is an approach to design that espouses the adaptation of functions and mechanisms in biological sciences to solve engineering design problems. Biologically inspired design is inherently analogical in nature, yet our understanding of its analogical basis is limited. In this paper we present an observational study that describes an intricate episode of biologically in...

Analogical planning provides a means of solving problems where other machine learning meth­ ods fail, because it does not require numer­ ous previous examples or a rich domain the­ ory. Given a problem in an unfamiliar domain (the target case), an analogical planning sys­ tem locates a successful plan in a similar do­ main (the bast case), and uses the similarities to generate the target plan. ...