- author = "Robert Junges and Franziska Klugl",
- title = "Evolution for modeling: a genetic programming framework for {SeSAm}",
- booktitle = "GECCO 2011 Evolutionary computation and multi-agent systems and simulation (ECoMASS) - fifth annual workshop",
- year = "2011",
- editor = "William Rand and Forrest Stonedahl",
- isbn13 = "978-1-4503-0690-4",
- keywords = "genetic algorithms, genetic programming",
- pages = "551--558",
- month = "12-16 " # jul,
- organisation = "SIGEVO",
- address = "Dublin, Ireland",
-
DOI = "
doi:10.1145/2001858.2002047",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- abstract = "Developing a valid agent-based simulation model is not always straight forward, but involves a lot of prototyping, testing and analysing until the right low-level behaviour is fully specified and calibrated. Our aim is to replace the try and error search of a modeller by adaptive agents which learn a behaviour that then can serve as a source of inspiration for the modeler. In this contribution, we suggest to use genetic programming as the learning mechanism. For this aim we developed a genetic programming framework integrated into the visual agent-based modeling and simulation tool SeSAm, providing similar easy-to-use functionality.",
-
notes = "Also known as \cite{2002047} Distributed on CD-ROM at
GECCO-2011.
ACM Order Number 910112.",
