Cooperative multi-agent learning: The state of the art

L Panait, S Luke - Autonomous agents and multi-agent systems, 2005 - Springer
Cooperative multi-agent systems (MAS) are ones in which several agents attempt, through
their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among the …

Genetic programming and data structures: genetic programming+ data structures= automatic programming!

WB Langdon - 1998 - books.google.com
Computers thatprogram themselves' has long been an aim of computer scientists. Recently
genetic programming (GP) has started to show its promise by automatically evolving …

Wolf-pack (Canis lupus) hunting strategies emerge from simple rules in computational simulations

C Muro, R Escobedo, L Spector, RP Cop**er - Behavioural processes, 2011 - Elsevier
We have produced computational simulations of multi-agent systems in which wolf agents
chase prey agents. We show that two simple decentralized rules controlling the movement of …

Genetic programming as a means for programming computers by natural selection

JR Koza - Statistics and computing, 1994 - Springer
Many seemingly different problems in machine learning, artificial intelligence, and symbolic
processing can be viewed as requiring the discovery of a computer program that produces …

[BUCH][B] Handbook of memetic algorithms

F Neri, C Cotta, P Moscato - 2011 - books.google.com
Memetic Algorithms (MAs) are computational intelligence structures combining multiple and
various operators in order to address optimization problems. The combination and …

Evolutionary robotics

JC Bongard - Communications of the ACM, 2013 - dl.acm.org
Evolutionary robotics Page 1 74 communications of the acm | august 2013 | vol. 56 | no. 8
review articles Ill us tra t Ion b y Jus t In Metz The auTomaTed design, construction, and …

Coevolving memetic algorithms: A review and progress report

JE Smith - IEEE Transactions on Systems, Man, and …, 2007 - ieeexplore.ieee.org
Coevolving memetic algorithms are a family of metaheuristic search algorithms in which a
rule-based representation of local search (LS) is coadapted alongside candidate solutions …

Co-evolving soccer softbot team coordination with genetic programming

S Luke, C Hohn, J Farris, G Jackson… - RoboCup-97: Robot …, 1998 - Springer
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 …

[PDF][PDF] Genetic programming produced competitive soccer softbot teams for robocup97

S Luke - Genetic Programming, 1998 - unbc.ca
At RoboCup, teams of autonomous robots or software softbots compete in simulated soccer
matches to demonstrate cooperative robotics techniques in a very difficult, real-time, noisy …

Towards optimizing entertainment in computer games

GN Yannakakis, J Hallam - Applied Artificial Intelligence, 2007 - Taylor & Francis
Mainly motivated by the current lack of a qualitative and quantitative entertainment
formulation of computer games and the procedures to generate it, this article covers the …