School of Computing and Information Science

Abstract: Although much attention has been devoted to modeling and using context in intelligent agents, relatively little has been given to the problem for multiagent systems (MASs). Yet, just as with an individual agent, context affects how a MAS should behave. In this paper, we discuss an approach to distributed context management for multiagent systems. […]

Abstract: Artificial agents that simulate aspects of human behavior are expected to behave much like a real human in a similar situation would. Human behavior however, is largely context-dependent. Ignoring the effect context can have on an agent’s behavior can hinder the quality and plausibility of agent’s behavior. In this paper, we present a context-driven […]

Abstract All effective agents are context-sensitive. This is true for biological agents, and it must also be true for artificial agents if they are to succeed. Context-mediated behavior (CMB) is one approach to endowing artificial agents with context-sensitive, context- appropriate behavior. It relies on explicitly representing contexts—important classes of situations—as contextual schemas and associating with […]

This paper explores an alternative vision for upper ontologies which is more effective at facilitating the sharability and reusability of ontologies. The notion of generic ontologies is characterized through the formalization of ontological commitments and choices. Ontology repositories are used to modularize ontologies so that any particular upper ontology is equivalent to the union of […]