- title = "The Evolution of Groups for Common Pool Resource Sharing Applications of Genetic Programming to Groups for Computer Game Artificial Intelligence",
- author = "Alan Cunningham",
- school = "NUI Galway",
- year = "2013",
- address = "Ireland",
- month = sep,
- keywords = "genetic algorithms, genetic programming",
- annote = "The Pennsylvania State University CiteSeerX Archives",
- bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
- language = "en",
- oai = "oai:CiteSeerX.psu:10.1.1.453.4470",
- rights = "Metadata may be used without restrictions as long as the oai identifier remains attached to it.",
-
URL = "
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.453.4470",
-
URL = "http://hdl.handle.net/10379/3771",
-
URL = "
http://aran.library.nuigalway.ie/xmlui/bitstream/handle/10379/3771/thesis.pdf",
- size = "251 pages",
-
abstract = "The scope and scale of computer games has increased
such that, creating unique hand-made behaviours for
each character becomes unfeasible. Throughout a typical
computer game there are many AI characters with which
the player will meet and interact, but only some of
these characters will be central to the main story.
There is a tendency to rely on template behaviours
which are replicated throughout the game world.
This thesis concerns the creation of groups of characters which, through the use simple actions, cooperate and coordinate to survive together. These groups are created automatically using Evolutionary Computation (EC) methods. In order to apply EC algorithms to a domain, the problem being solved will be executed and evaluated a large number of times as solutions are created, altered and refined towards a good solution. As computer games tend to be resource intensive, running thousands of simulations using a game world is not feasible. An abstract representation of a game world is needed.
Selecting group based dilemmas from the social science and economic literature provides a suitable abstract representation. A Common Pool Resource (CPR) dilemma is chosen which models a group's use of a shared resource. Previous studies of human behaviours with this game environment allow for the comparison of the automatically generated solutions against expected behaviours and human performance. It is shown that by introducing irrationality into the solution creation, human-like play can be generated automatically. .........",
- notes = "Supervisor: Colm O'Riordan",
