We present TRESTLE, an incremental algorithm for probabilistic concept formation in structured domains that builds on prior concept learning research. TRESTLE works by creating a hierarchical categorization tree that can be used to predict missing attribute values and cluster sets of examples into conceptually meaningful groups. It is able to update its knowledge by partially matching novel str...

The problem of concept formation and learning is examined from the viewpoint of granular computing. Correspondences are drawn between granules and concepts, between granulations and classifications, and between relations over granules and relations over concepts. Two learning strategies are investigated. A global attribute-oriented strategy searches for a good partition of a universe of objects...

This paper discusses a particular type of knowledge, subjective knowledge, and its implication for inventive and entrepreneurial activity. The justification processes of subjective knowledge primarily involve internal coherence and procedural reasoning. These characteristics make subjective knowledge an interesting candidate for the analysis of concept formation in contexts where fundamental un...

Integration of learning and problem solving may start out from different goals, and be viewed from different perspectives. One example is "concept formation" as a goal, and the formation and utilization of operationalization criteria related to the problem solving solving task, as the perspective. Another example is "improved performance" as a goal, and the improvement of total problem solving ...

We propose a mechanism of visual concept formation in image databases using self-organizing feature maps. Taking flag images as a case study, we managed to mine out a few visual concepts and hence enabled a content-based image retrieval system with the ability of searching by concepts.

Neuroimaging studies in adults showed that cortical midline regions including medial prefrontal cortex (mPFC) and posterior parietal cortex (PPC) are important in self-evaluations. The goals of this study were to investigate the contribution of these regions to self-evaluations in late childhood, adolescence, and early adulthood, and to examine whether these differed per domain (academic, physi...

Self-concept development from childhood to adolescence was studied from a cognitive-structural perspective. The responses of subjects to the question "Who am I?" were analyzed by means of a 30-category scoring system. Between childhood and adolescence, there was a significant increase in self-conceptions categorized as follows: occupational role; existential, individuating; ideological and beli...

The aim of this paper is to provide a systematic overview of methods that are potentially useful for growing event memories in autonomous robots. Recognizing events in sequences of sensor and motor signals is viewed as an important step toward intelligent robot behaviour and part of concept formation, needed for learning tasks such as navigation, planning or language use. Here we concentrate on...

Analyses of concept formation can be found in disciplines that seem superficially unrelated. The two oldest traditions are in philosophy and mathematics, the one reaching back to Plato and Aristotle and having a continuous history in the theory of knowledge, and the other going back to Eudoxus, Euclid and their several mathematical contemporaries and successors. The logical status of the analys...

We propose a mathematical model for learning the high-density areas of an unknown distribution from (unlabeled) random points drawn according to this distribution. While this type of a learning task has not been previously addressed in the Computational Learnability literature, we believe that this it a rather basic problem that appears in many practical learning scenarios. From a statistical t...