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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 5 months ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...
ATAL
2009
Springer
15 years 5 months ago
First principles planning in BDI systems
BDI (Belief, Desire, Intention) agent systems are very powerful, but they lack the ability to incorporate planning. There has been some previous work to incorporate planning withi...
Lavindra de Silva, Sebastian Sardiña, Lin P...
GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
15 years 4 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
CP
2003
Springer
15 years 4 months ago
Open Constraint Optimization
Constraint satisfaction has been applied with great success in closed-world scenarios, where all options and constraints are known from the beginning and fixed. With the internet,...
Boi Faltings, Santiago Macho-Gonzalez
IIE
2007
125views more  IIE 2007»
14 years 11 months ago
Should LOGO Keep Going FORWARD 1?
LOGO has been evolving in incremental steps for 40 years. This has resulted in steady progress but some regions of the space of all programming languages for children cannot be re...
Ken Kahn