%0 Conference Proceedings
%T Rogue-Like Games as a Playground for Artificial Intelligence – Evolutionary Approach
%+ Univerzita Karlova [Praha, Česká republika] = Charles University [Prague, Czech Republic] (UK)
%A Cerny, Vojtech
%A Dechterenko, Filip
%Z Part 1: Full papers
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 14th International Conference on Entertainment Computing (ICEC)
%C Trondheim, Norway
%Y Konstantinos Chorianopoulos
%Y Monica Divitini
%Y Jannicke Baalsrud Hauge
%Y Letizia Jaccheri
%Y Rainer Malaka
%I Springer International Publishing
%3 Entertainment Computing - ICEC 2015
%V LNCS-9353
%P 261-271
%8 2015-09-29
%D 2015
%R 10.1007/978-3-319-24589-8_20
%K artificial intelligence
%K computer games
%K evolutionary algorithms
%K rogue-like
%Z Computer Science [cs]Conference papers
%X Rogue-likes are difficult computer RPG games set in a procedurally generated environment. Attempts have been made at playing these algorithmically, but few of them succeeded. In this paper, we present a platform for developing artificial intelligence (AI) and creating procedural content generators (PCGs) for a rogue-like game Desktop Dungeons. As an example, we employ evolutionary algorithms to recombine greedy strategies for the game. The resulting AI plays the game better than a hand-designed greedy strategy and similarly well to a mediocre player – winning the game 72% of the time. The platform may be used for additional research leading to improving rogue-like games and general PCGs.
%G English
%Z TC 14
%2 https://inria.hal.science/hal-01758437/document
%2 https://inria.hal.science/hal-01758437/file/371182_1_En_20_Chapter.pdf
%L hal-01758437
%U https://inria.hal.science/hal-01758437
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-ICEC
%~ IFIP-TC14
%~ IFIP-LNCS-9353