Most frameworks for utility elicitation assume a predefined set of features over which user preferences are expressed. We consider utility elicitation in the presence of subjective or user-defined features, whose definitions are not known in advance. We treat the problem of learning a user’s feature definition as one of concept learning, but whose goal is to learn only enough about the concept ...

How to achieve shared meaning is a significant issue when more than one intelligent agent is involved in the same domain. We define the task of concept convergence, by which intelligent agents can achieve a shared, agreed-upon meaning of a concept (restricted to empirical domains). For this purpose we present a framework that, integrating computational argumentation and inductive concept learni...

In this paper, we describe our participation in the ImageCLEF 2015 Scalable Concept Image Annotation task. In this participation, we display our approach for an automatic image annotation by the use of an ontology-based semantic hierarchy handled at both learning and annotation steps. While recent works focused on the use of semantic hierarchies to improve concept detector accuracy, we are inve...

i Preface This study presents a theory and model of memory and remembrance, which is a further explication of the theory of Dynamic Conceptual Semantics and of the Unconscious and Conscious, which has been developed in Bartsch 1998 Dynamic Conceptual Semantic: A Logic-Philosophical Investigation into Concept Formation and Understanding and in it is pointed out how phenomenological data and dyna...

This study discusses various theoretical perspectives on abstract concept formation. Students’ reasoning about abstract objects is described based on proposition that abstraction is a shift from abstract to concrete. Existing literature suggested a theoretical framework for the study. The framework describes process of abstraction through its elements: assembling, theoretical generalization int...