Abstract
The ability to simulate living beings that behave in a credible way is a fundamental aspect in digital games. This is due to its interdisciplinary characteristic, that brings together different fields of knowledge to better understand biological life and its processes. In this context, the design of an intelligent agent is a hard task as it involves a complex system, which has several interconnected components. In this work a virtual mind architecture for intelligent agents is proposed, where it simulates the cognitive processes of an actual brain, in this case attention and memory, in order to reproduce behaviors similar to those of actual living beings. A prototype is then proposed, where the architecture is applied on agents that represent virtual animals in a semantic-modeled ecosystem, and conduct a proof-of-concept experiment with it to demonstrate its effectiveness. In this experiment, the behavior of the virtual animals were consistent with reality, thus, validating the architecture’s ability to simulate living beings.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Araujo, S., Chaimowicz, L.: Atores Virtuais Autônomos para Sistemas Narrativos Interativos. Master’s thesis, Universidade Federal de Minas Gerais (2009)
Arkin, R.C.: Integrating behavioral, perceptual, and world knowledge in reactive navigation. Rob. Auton. Syst. 6(1), 105–122 (1990). http://www.sciencedirect.com/science/article/pii/S0921889005800314, designing Autonomous Agents
Arrabales, R., Ledezma, A., Sanchis, A.: Towards conscious-like behavior in computer game characters. In: IEEE Symposium on Computational Intelligence and Games, CIG 2009, pp. 217–224. IEEE (2009)
Bach, J.: Principles of Synthetic Intelligence PSI: An Architecture of Motivated Cognition, vol. 4. Oxford University Press, Oxford (2009)
Bethesda Game Studios: The Elder Scrolls V: Skyrim. [PC CD-ROM] (2015)
Bratman, M.E., Israel, D.J., Pollack, M.E.: Plans and resource-bounded practical reasoning. Technical report 425, AI Center, SRI International, 333 Ravenswood Ave., Menlo Park, CA 94025, September 1988
Cowan, N.: What are the differences between long-term, short-term, and working memory? Prog. Brain Res. 169, 323–338 (2008)
Dias, J., Mascarenhas, S., Paiva, A.: FAtiMA modular: towards an agent architecture with a generic appraisal framework. In: Bosse, T., Broekens, J., Dias, J., van der Zwaan, J. (eds.) Emotion Modeling. LNCS (LNAI), vol. 8750, pp. 44–56. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-12973-0_3
Franco, A.O., Maia, J.G., Neto, J.A., Gomes, F.A.: An interactive storytelling model for non-player characters on electronic RPGs. In: 2015 14th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames), pp. 52–60. IEEE (2015)
Franklin, S., Graesser, A.: Is it an agent, or just a program?: a taxonomy for autonomous agents. In: Müller, J.P., Wooldridge, M.J., Jennings, N.R. (eds.) ATAL 1996. LNCS, vol. 1193, pp. 21–35. Springer, Heidelberg (1997). https://doi.org/10.1007/BFb0013570. http://dl.acm.org/citation.cfm?id=648203.749270
Laird, J.E.: The Soar Cognitive Architecture. The MIT Press, Cambridge (2012)
Levitin, D.J.: The Organized Mind: Thinking Straight in the Age of Information Overload. Penguin, London (2014)
Lim, M.Y., Dias, J., Aylett, R., Paiva, A.: Creating adaptive affective autonomous NPCs. Auton. Agent. Multi-Agent Syst. 24(2), 287–311 (2012). https://doi.org/10.1007/s10458-010-9161-2
Maslow, A.H.: A theory of human motivation. Psychol. Rev. 50(4), 370 (1943)
Minsky, M.: A framework for representing knowledge. Psychol. Comput. Vis. 73, 211–277 (1975)
Müller, J.P.: Architectures and applications of intelligent agents: a survey. Knowl. Eng. Rev. 13(4), 353–380 (1999)
Nirenburg, S., McShane, M., Beale, S., Catizone, R.: A cognitive architecture for simulating bodies and minds. In: AMIA Annual Symposium Proceedings, vol. 2011, p. 905. American Medical Informatics Association (2011)
Origin Systems: Ultima online. [CD-ROM] (1997)
Ortony, A., Clore, G.L., Collins, A.: The Cognitive Structure of Emotions. Cambridge University Press, Cambridge (1990)
Oxford Dictionaries: Cognition - Definition of Cognition in English—Oxford Dictionaries (2010). https://en.oxforddictionaries.com/definition/cognition. Accessed 07 July 2017
Prisnyakov, V.F., Prisnyakova, L.M.: Mathematical modeling of emotions. Cybern. Syst. Anal. 30(1), 142–149 (1994). https://doi.org/10.1007/BF02366374
Rao, A.S., Georgeff, M.P.: Modeling Rational Agents within a BDI-Architecture (1991)
Russell, S.J., Norvig, P.: Artificial Intelligence: A Modern Approach, 2nd edn. Pearson Education, New York (2003)
Warren, R.M., et al.: Perceptual restoration of missing speech sounds. Science 167(3917), 392–393 (1970)
Winston, P.H.: Frames and commonsense. In: Artificial intelligence, 3rd edn. (repr. with corrections 1993), Chap. 10, pp. 209–230. Addison-Wesley (1993)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Vieira, R., Dembogurski, B., Alvim, L., Braida, F. (2018). A Cognitive Architecture for Agent-Based Artificial Life Simulation. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10960. Springer, Cham. https://doi.org/10.1007/978-3-319-95162-1_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-95162-1_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-95161-4
Online ISBN: 978-3-319-95162-1
eBook Packages: Computer ScienceComputer Science (R0)