- author = "Darren Doherty and Colm O'Riordan",
- title = "A phenotypic analysis of GP-evolved team behaviours",
- booktitle = "GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation",
- year = "2007",
- editor = "Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener",
- volume = "2",
- isbn13 = "978-1-59593-697-4",
- pages = "1951--1958",
- address = "London",
-
URL = "
http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1951.pdf",
-
DOI = "
doi:10.1145/1276958.1277347",
- publisher = "ACM Press",
- publisher_address = "New York, NY, USA",
- month = "7-11 " # jul,
- organisation = "ACM SIGEVO (formerly ISGEC)",
- keywords = "genetic algorithms, genetic programming, Real-World Applications, AI, artificial intelligence, cooperative agents, phenotypic analysis, tactical team behaviour",
- abstract = "This paper presents an approach to analyse the behaviours of teams of autonomous agents who work together to achieve a common goal. The agents in a team are evolved together using a genetic programming (GP) [8] approach where each team of agents is represented as a single GP tree or chromosome. A number of such teams are evolved and their behaviours analysed in an attempt to identify combinations of individual agent behaviours that constitute good (or bad) team behaviour. For each team we simulate a number of games and periodically capture the agents' behavioural information from the gaming environment during each simulation. This information is stored in a series of status records that can be later analysed. We compare and contrast the behaviours of agents in the evolved teams to see if there is a correlation between a team's performance (fitness score) and the combined behaviours of the team's agents. This approach could also be applied to other GP-evolved teams in different domains.",
-
notes = "GECCO-2007 A joint meeting of the sixteenth
international conference on genetic algorithms
(ICGA-2007) and the twelfth annual genetic programming
conference (GP-2007).
ACM Order Number 910071",
