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ROBOCUP
1997
Springer
134views Robotics» more  ROBOCUP 1997»
15 years 6 months ago
Co-evolving Soccer Softbot Team Coordination with Genetic Programming
In this paper we explain how we applied genetic programming to behavior-based team coordination in the RoboCup Soccer Server domain. Genetic programming is a promising new method f...
Sean Luke, Charles Hohn, Jonathan Farris, Gary Jac...
113
Voted
SIGMOD
2010
ACM
213views Database» more  SIGMOD 2010»
15 years 7 months ago
On active learning of record matching packages
We consider the problem of learning a record matching package (classifier) in an active learning setting. In active learning, the learning algorithm picks the set of examples to ...
Arvind Arasu, Michaela Götz, Raghav Kaushik
115
Voted
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 8 months ago
Coevolution of intelligent agents using cartesian genetic programming
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...
Gul Muhammad Khan, Julian Francis Miller, David M....
149
Voted
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
15 years 9 months ago
Why evolution is not a good paradigm for program induction: a critique of genetic programming
We revisit the roots of Genetic Programming (i.e. Natural Evolution), and conclude that the mechanisms of the process of evolution (i.e. selection, inheritance and variation) are ...
John R. Woodward, Ruibin Bai
UM
2009
Springer
15 years 9 months ago
Context-Dependent Personalised Feedback Prioritisation in Exploratory Learning for Mathematical Generalisation
Abstract. In this paper we address the problem of prioritising feedback on the basis of multiple heterogeneous pieces of information in exploratory learning. The problem arises whe...
Mihaela Cocea, George D. Magoulas