DocumentCode :
1873402
Title :
Towards conscious-like behavior in computer game characters
Author :
Arrabales, Ral ; Ledezma, Agapito ; Sanchis, Araceli
Author_Institution :
Comput. Sci. Dept., Carlos III Univ. of Madrid, Leganes, Spain
fYear :
2009
fDate :
7-10 Sept. 2009
Firstpage :
217
Lastpage :
224
Abstract :
The main sources of inspiration for the design of more engaging synthetic characters are existing psychological models of human cognition. Usually, these models, and the associated Artificial Intelligence (AI) techniques, are based on partial aspects of the real complex systems involved in the generation of human-like behavior. Emotions, planning, learning, user modeling, set shifting, and attention mechanisms are some remarkable examples of features typically considered in isolation within classical AI control models. Artificial cognitive architectures aim at integrating many of these aspects together into effective control systems. However, the design of this sort of architectures is not straightforward. In this paper, we argue that current research efforts in the young field of Machine Consciousness (MC) could contribute to tackle complexity and provide a useful framework for the design of more appealing synthetic characters. This hypothesis is illustrated with the application of a novel consciousness-based cognitive architecture to the development of a First Person Shooter video game character.
Keywords :
artificial intelligence; computer games; AI techniques; artificial cognitive architectures; artificial intelligence techniques; computer game characters; conscious-like behavior; first person shooter; human cognition; machine consciousness; real complex systems; synthetic characters; video game; Actuators; Artificial intelligence; Computer architecture; Games; Humans; Intelligent control; Production; Software agents; Software performance; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Games, 2009. CIG 2009. IEEE Symposium on
Conference_Location :
Milano
Print_ISBN :
978-1-4244-4814-2
Electronic_ISBN :
978-1-4244-4815-9
Type :
conf
DOI :
10.1109/CIG.2009.5286473
Filename :
5286473
Link To Document :
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