Agent training techniques study methods to embed empirical, inductive knowledge representations into intelligent agents, in dynamic, recursive or semi-automated ways, expressed in...
In this paper, we present the concept of follow-me semantics of the large-scale pervasive application and discuss the features and services to its implementation based on the inte...
With the increasing development of real applications using Semantic Web Technologies, it is necessary to provide scalable and efficient ontology querying and reasoning systems. In ...
In this overview we show how Knowledge Representation (KR) can be done with the help of generalized logic programs. We start by introducing the core of PROLOG, which is based on de...
eal world”, represented abstractly using (time-varying) first-order logic predicates and terms. A representative composition result [11] here uses a translation into Petri nets. ...