2026-06-04T12:48:20Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/67702026-02-03T10:26:42Zcom_10630_1685col_10630_38055
RIUMA. Repositorio Institucional de la Universidad de Málaga
advisor
Vico-Vela, Francisco José
author
Albarracín Molina, David Daniel
2013-12-11T08:59:35Z
2013-12-11T08:59:35Z
2013-12-11
http://hdl.handle.net/10630/6770
The purpose of this project is developing an automatic strategy for playing
Selfo, a connection game whose goal is to get arranged all the friendly pieces
into a single connected group. The idea is to copy some kind of swarm conduct,
like the observed in an ant colony or in a flock of birds, to play this game. The
swarm behaviors consist on few simple inborn rules. But these simple rules
applied in group usually bring complex dynamics. The ultimate goal is to check
whether a computer player based on these principles can compete against a
thinking trained human.
We first built a simple computer version of Selfo in order to deeply examine the
dynamics of the game by running human-human and human-dummycomputer
games. From this experience we proposed and developed a swarm behavior
based strategy.
We built the program over the Zillions of Games platform. Zillions is a popular
website where people can download and play a multitude of board games. This
is a great tool to get the players experiences. And it also allowed us to easily
define the user interface and game rules, letting us focusing on the game
engine.
To evaluate the quality of the proposed strategy, we run several simulations of
computer-computer games and played human-computer games. We noted that
the computer opponent can defeat many times an average player and
sometimes beat an experienced player. We also learned that it is very important
the initial distribution of pieces and sometimes the strength of the first move.
Finally we could observe the speed of the computer player, despite the
computational complexity of the game.
We conclude that we have achieved the initial aims: building an easy to use
computer version of Selfo with an on-line game mode and developing a fast
strategy inspired by nature which could face up a human player.
eng
Inteligencia artificial
Juegos
Diseño e implementación de una estrategia para un juego de conexión
bachelor thesis
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URL
https://riuma.uma.es/bitstreams/a09aeece-0168-4013-9eab-18aa0908ec3b/download
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PFC_David.pdf
URL
https://riuma.uma.es/bitstreams/5729ecd6-a6ef-4007-b1fe-0bc6493f10d6/download
File
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text/plain
PFC_David.pdf.txt