This paper presents an ongoing task that will construct a DAML+OIL-compliant Chinese Lexical Ontology. The ontology mainly comprises three components: a hierarchical taxonomy consisting of a set of concepts and a set of relations describing the relationships among the concepts, a set of lexical entries associated with the concepts and relations, and a set of axioms describing the constraints on...

With autonomous vehicles (AV) set to integrate further into regular human traffic, there is an increasing consensus of treating AV motion planning as a multi-agent problem. However, the traditional game theoretic assumption complete rationality too strong for purpose driving, and need understanding driving bounded rational activity through behavioral lens. To that end, we adapt three metamodels...

Two experiments provide evidence that our conceptual systems represent hierarchical relations between concepts in more than one way. Specifically, hierarchical relations may be represented via criteria inclusion or kind specification. The experiments provide the first evidence that these two ways of representing hierarchical relations mediate feature inheritance in systematically different ways...

The paper considers three questions that arise in the study of complex systems: • What constitutes a hierarchical level? • How do phase transitions arise? • What is the relationship between invariance and information? Answering these questions appears to be a prerequisite for essential progress in the field. In the course of studying complex systems, certain concepts feature prominently. Among ...

Numerous concepts exist for biological species. This diversity of ideas derives from a number of sources ranging from investigative study of particular taxa and character sets to philosophical aptitude and world view to operationalism and nomenclatorial rules. While usually viewed as counterproductive, in reality these varied concepts can greatly enhance our efforts to discover and understand b...

We discuss a domain-independent, corpus based method for dictionary-less automatic extraction of ontological knowledge from domain-specific unannotated documents. We present the architecture, algorithms, and results for ONTOSTRUCT—a new system that uses machine learning and statistical techniques to analyze text sources, discover terms, link equivalent terms into concepts, learn both hierarchic...

A new classification paradigm, which automatically acquires WordNet-Based rules from a corpus, is presented. The approach is applied to developing an autonomous software agent that can recognize emotions which are expressed in natural language during an interactive human-computer environment. Such an agent could adapt to a user’s emotional state and dynamically adjust its interaction etiquette....