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IJCNN
2006
IEEE
13 years 10 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
NIPS
2003
13 years 6 months ago
Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System
We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...
Marc Toussaint
OTM
2004
Springer
13 years 10 months ago
Revising and Managing Multiple Ontology Versions in a Possible Worlds Setting
Abstract. To date, ontology research seems to have come to an equilibrium: there is a wide variety of theories, methods and tools for extracting, representing, storing and browsing...
Pieter De Leenheer
IAT
2008
IEEE
13 years 4 months ago
Planning with iFALCON: Towards A Neural-Network-Based BDI Agent Architecture
This paper presents iFALCON, a model of BDI (beliefdesire-intention) agents that is fully realized as a selforganizing neural network architecture. Based on multichannel network m...
Budhitama Subagdja, Ah-Hwee Tan
IJCAI
2007
13 years 6 months ago
A Cortex-Inspired Neural-Symbolic Network for Knowledge Representation
Semantic systems for the representation of declarative knowledge are usually unconnected to neurobiological mechanisms in the brain. In this paper we report on efforts to bridge t...
Florian Röhrbein, Julian Eggert, Edgar Kö...