Title:
Using First Order Inductive Learning as an Alternative to a Simulator in a Game Artificial Intelligence

dc.contributor.author Long, Kathryn Anna
dc.contributor.department Computer Science
dc.date.accessioned 2009-06-08T19:46:39Z
dc.date.available 2009-06-08T19:46:39Z
dc.date.issued 2009-05-04
dc.description.abstract Currently many game artificial intelligences attempt to determine their next moves by using a simulator to predict the effect of actions in the world. However, writing such a simulator is time-consuming, and the simulator must be changed substantially whenever a detail in the game design is modified. As such, this research project set out to determine if a version of the first order inductive learning algorithm could be used to learn rules that could then be used in place of a simulator. By eliminating the need to write a simulator for each game by hand, the entire Darmok 2 project could more easily adapt to additional real-time strategy games. Over time, Darmok 2 would also be able to provide better competition for human players by training the artificial intelligences to play against the style of a specific player. Most importantly, Darmok 2 might also be able to create a general solution for creating game artificial intelligences, which could save game development companies a substantial amount of money, time, and effort. en
dc.description.advisor Ram, Ashwin - Faculty Mentor ; Ontañón, Santi - Committee Member/Second Reader
dc.identifier.uri http://hdl.handle.net/1853/28284
dc.language.iso en_US en
dc.publisher Georgia Institute of Technology en
dc.subject First order inductive learning en
dc.subject First order inductive learner en
dc.subject FOIL en
dc.subject Darmok 2 en
dc.subject Learning en
dc.subject Game artificial intelligence en
dc.title Using First Order Inductive Learning as an Alternative to a Simulator in a Game Artificial Intelligence en
dc.type Text
dc.type.genre Undergraduate Thesis
dspace.entity.type Publication
local.contributor.corporatename College of Computing
local.contributor.corporatename School of Computer Science
local.contributor.corporatename Undergraduate Research Opportunities Program
local.relation.ispartofseries Undergraduate Research Option Theses
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relation.isOrgUnitOfPublication 6b42174a-e0e1-40e3-a581-47bed0470a1e
relation.isOrgUnitOfPublication 0db885f5-939b-4de1-807b-f2ec73714200
relation.isSeriesOfPublication e1a827bd-cf25-4b83-ba24-70848b7036ac
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