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» Evolving Neural Network through Augmenting Topologies
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ECAL
1999
Springer
15 years 1 months ago
Framsticks: Towards a Simulation of a Nature-Like World, Creatures and Evolution
In this paper we describe our attempt to create a nature-like simulation model of artificial creatures. The model includes physical simulation of creatures, their interaction with ...
Maciej Komosinski, Szymon Ulatowski
69
Voted
WSC
2008
14 years 12 months ago
Modeling and simulation of e-mail social networks: A new stochastic agent-based approach
Understanding how the structure of a network evolves over time is one of the most interesting and complex topics in the field of social networks. In our attempt to model the dynam...
Fabian Menges, Bud Mishra, Giuseppe Narzisi
SASO
2008
IEEE
15 years 4 months ago
An Infection-Based Mechanism for Self-Adaptation in Multi-agent Complex Networks
Distributed mechanisms that regulate the behavior of autonomous agents in open multi-agent systems (MAS) are of high interest since we cannot employ centralized approaches relying...
Norman Salazar, Juan A. Rodríguez-Aguilar, ...
ICECCS
1997
IEEE
97views Hardware» more  ICECCS 1997»
15 years 1 months ago
A Synthesis Method for Fault-tolerant and Flexible Multipath Routing Protocols
Design of practical routing protocols is complex and dificult due to complicated requirements of faulttolerance and flexibility. The protocol is defined to be fault-tolerant if me...
Yutaka Hatanaka, Masahide Nakamura, Yoshiaki Kakud...
NIPS
1989
14 years 10 months ago
The Cascade-Correlation Learning Architecture
Cascade-Correlation is a new architecture and supervised learning algorithm for artificial neural networks. Instead of just adjusting the weights in a network of fixed topology,...
Scott E. Fahlman, Christian Lebiere