Abstract. Even modern component architectures do not provide for easily manageable context-sensitive adaptability, a key requirement for ambient intelligence. The reason is that components are too large – pro-viding black boxes with adaptation points only at their boundaries – and to small

Abstract: Even modern component architectures do not provide for easily manageable context-sensitive adaptability, a key requirement for ambient intelligence. The reason ist that components are at the same time too large – providing black boxes with adaptation points only at their boundaries

of perceiving their current use context. I.e. they can perceive context data as light, noise, temperature, time, user, location, and co-located devices etc. Context-Sensitive Intelligence

and the relations between them. Categories & Descriptors --- I.2.4 [Knowledge Representation Formalisms and Methods]: Artificial Intelligence -- representations (procedural and rule-based), semantic networks. General Terms --- Documentation, Languages, Standard-ization, Theory. Keywords --- Ontologies

Recent work in Artificial Intelligence is exploring the use of formal ontologies as a way of specifying content-specific agreements for the sharing and reuse of knowledge among software entities. We take an engineering perspective on the development of such ontologies. Formal ontologies are viewed

Articial intelligence researchers attempting to create engaging apparently living creatures may nd important insight in the work of artists who have explored the idea of believable character In particular appropriately timed and clearly expressed emotion is a central requirement for believable

innovative system offering application developers an extensively flexible group communication model is described. The emergence of process-group environments for distributed computing represents a promising step toward robustness for mission-critical distributed applications. Process groups have a

Recent debate has centered on the relative promise of focusing user-interface research on developing new metaphors and tools that enhance users' abilities to directly manipulate objects versus directing effort toward developing interface agents that provide automation. In this paper, we

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Harvard University. The work toward attaining "artificial intelligence’ ’ is the center of considerable computer research, design, and application. The field is in its starting transient, characterized by many varied and independent efforts. Marvin Minsky has been requested to draw