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CONNECTION
2004
93views more  CONNECTION 2004»
12 years 1 months ago
A real-time robotic model of human reference resolution using visual constraints
Evidence from recent psycholinguistic experiments suggests that humans resolve reference incrementally in the presence of constraining visual context. In this paper, we present an...
Matthias Scheutz, Kathleen M. Eberhard, Virgil And...
CONNECTION
2004
71views more  CONNECTION 2004»
12 years 1 months ago
Lack of combinatorial productivity in language processing with simple recurrent networks
An astronomical set of sentences can be produced in natural language by combining relatively simple sentence structures with a human-size lexicon. These sentences are within the ra...
Frank van der Velde, Gwendid T. van der Voort van ...
CONNECTION
2004
134views more  CONNECTION 2004»
12 years 1 months ago
'Feeling' the flow of time through sensorimotor co-ordination
In this paper, we aim to design decision-making mechanisms for a simulated Khepera robot equipped with simple sensors, which integrates over time its perceptual experience in order...
Elio Tuci, Vito Trianni, Marco Dorigo
CONNECTION
2004
117views more  CONNECTION 2004»
12 years 1 months ago
Structure and function of evolved neuro-controllers for autonomous robots
The Artificial Life approach to Evolutionary Robotics is used as a fundamental framework for the development of a modular neural control of autonomous mobile robots. The applied e...
Martin Hülse, Steffen Wischmann, Frank Pasema...
CONNECTION
2004
92views more  CONNECTION 2004»
12 years 1 months ago
High capacity associative memories and connection constraints
: High capacity associative neural networks can be built from networks of perceptrons, trained using simple perceptron training. Such networks perform much better than those traine...
Neil Davey, Rod Adams
CONNECTION
2004
83views more  CONNECTION 2004»
12 years 1 months ago
Toward open-ended evolutionary robotics: evolving elementary robotic units able to self-assemble and self-reproduce
In this paper we discuss the limitations of current evolutionary robotics models and we propose a new framework that might solve some of these problems and lead to an open-ended e...
Raffaele Bianco, Stefano Nolfi
CONNECTION
2004
94views more  CONNECTION 2004»
12 years 1 months ago
Evolving internal memory for T-maze tasks in noisy environments
In autonomous agent systems, internal memory can be an important element to overcome the limitations of purely reactive agent behaviour. This paper presents an analysis of memory r...
DaeEun Kim
CONNECTION
2004
98views more  CONNECTION 2004»
12 years 1 months ago
Self-refreshing memory in artificial neural networks: learning temporal sequences without catastrophic forgetting
While humans forget gradually, highly distributed connectionist networks forget catastrophically: newly learned information often completely erases previously learned information. ...
Bernard Ans, Stephane Rousset, Robert M. French, S...
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