Inlämning av Examensarbete / Submission of Thesis

Fredrik Olofsson; Johan W. Andersson MSE-2003:04, pp. 46. Inst. för programvaruteknik och datavetenskap/Dept. of Software Engineering and Computer Science, 2003.

The work

Författare / Author: Fredrik Olofsson, Johan W. Andersson,
Titel / Title: Human-like Behaviour in Real-Time Strategy Games: An Experiment With Genetic Algorithms
Abstrakt Abstract:

If a computer game company wants to stay competitive they must offer something extra. For many years, this extra has often been synonymous with better graphics. Lately, and thanks to the Internet, the focus has shifted in favour of more multi-player support. This also means that the requirements of one-player games increases. Our proposal, to meet these new requirements, is that future game AI is made more human-like. One way to achieve this is believed to be the use of learning AI techniques, such as genetic algorithms and neural networks. In this thesis we will present the results from an experiment aiming at testing strategy game AI. Test persons played against traditional strategy game AI, a genetic algorithm AI, and other humans to see if they experienced any differences in the behaviour of the opponents.

Ämnesord / Subject: Datavetenskap - Computer Science\Software Engineering
Datavetenskap - Computer Science\Artificial Intelligence
Nyckelord / Keywords: artificial intelligence, genetic algorithms, strategy games, Turing test

Publication info

Dokument id / Document id:
Program:/ Programme Magisterprogram Programvaruteknik, 40 poäng/Masters programme Software Engineering
Registreringsdatum / Date of registration: 09/16/2004
Uppsatstyp / Type of thesis: D-Uppsats/Magister/Master


Handledare / Supervisor: Stefan Johansson
Examinator / Examiner: Claes Wohlin
Organisation / Organisation: Blekinge Institute of Technology
Institution / School: Inst. för programvaruteknik och datavetenskap/Dept. of Software Engineering and Computer Science
Inst. för Programvaruteknik och Datavetenskap S-372 25 Ronneby
+46 455 38 50 00

Files & Access

Bifogad uppsats fil(er) / Files attached: master_thesis_mse-2003-04.pdf (1480 kB, öppnas i nytt fönster)