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IJCNN
2006
IEEE
15 years 5 months ago
Knowledge Representation and Possible Worlds for Neural Networks
— The semantics of neural networks can be analyzed mathematically as a distributed system of knowledge and as systems of possible worlds expressed in the knowledge. Learning in a...
Michael J. Healy, Thomas P. Caudell
HCI
2007
15 years 1 months ago
Tracing Conceptual and Geospatial Diffusion of Knowledge
Understanding the dynamics of knowledge diffusion has profound theoretical and practical implications across a wide variety of domains, ranging from scientific disciplines to educa...
Chaomei Chen, Weizhong Zhu, Brian M. Tomaszewski, ...
JUCS
2002
145views more  JUCS 2002»
14 years 11 months ago
Webs, Grids and Knowledge Spaces: Programmes, Projects and Prospects
: Many believe that today's Web has not yet reached the full potential which globally distributed systems may achieve in terms of information access and use. Realizing this po...
Hans-Georg Stork
NIPS
2003
15 years 1 months ago
Reasoning about Time and Knowledge in Neural Symbolic Learning Systems
We show that temporal logic and combinations of temporal logics and modal logics of knowledge can be effectively represented in artificial neural networks. We present a Translat...
Artur S. d'Avila Garcez, Luís C. Lamb
WS
2010
ACM
14 years 10 months ago
Anomalies in ontologies with rules
For the development of practical semantic applications, ontologies are commonly used with rule extensions. Prominent examples of semantic applications are Semantic Wikis, Semantic...
Joachim Baumeister, Dietmar Seipel