Abstract
This work concerns the problem of modelling evolving prospective agent systems. Inasmuch a prospective agent [1] looks ahead a number of steps into the future, it is confronted with the problem of having several different possible courses of evolution, and therefore needs to be able to prefer amongst them to decide the best to follow as seen from its present state. First it needs a priori preferences for the generation of likely courses of evolution. Subsequently, this being one main contribution of this paper, based on the historical information as well as on a mixture of quantitative and qualitative a posteriori evaluation of its possible evolutions, we equip our agent with so-called evolution-level preferences mechanism, involving three distinct types of commitment. In addition, one other main contribution, to enable such a prospective agent to evolve, we provide a way for modelling its evolving knowledge base, including environment and course of evolution triggering of all active goals (desires), context-sensitive preferences and integrity constraints. We exhibit several examples to illustrate the proposed concepts.
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
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Pereira, L.M., Lopes, G.: Prospective Logic Agents. In: Neves, J., Santos, M.F., Machado, J.M. (eds.) EPIA 2007. LNCS (LNAI), vol. 4874, pp. 73–86. Springer, Heidelberg (2007)
Kakas, A., Kowalski, R., Toni, F.: The role of abduction in logic programming. Handbook of Logic in Artificial Intelligence and Logic Programming 5, 235–324 (1998)
Alferes, J.J., Pereira, L.M., Swift, T.: Abduction in Well-Founded Semantics and Generalized Stable Models via Tabled Dual Programs. Theory and Practice of Logic Programming 4(4), 383–428 (2004)
Kowalski, R.: The logical way to be artificially intelligent. In: Toni, F., Torroni, P. (eds.) CLIMA 2005. LNCS (LNAI), vol. 3900, pp. 1–22. Springer, Heidelberg (2006)
Pereira, L.M., Lopes, G., Dell’Acqua, P.: On Preferring and Inspecting Abductive Models. In: Gill, A., Swift, T. (eds.) PADL 2009. LNCS. Springer, Heidelberg (2009)
Dell’Acqua, P., Pereira, L.M.: Preferential theory revision. Journal of Applied Logic 5(4), 586–601 (2007)
XSB-PROLOG system freely, http://xsb.sourceforge.net
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Pereira, L.M., Anh, H.T. (2009). Evolution Prospection. In: Nakamatsu, K., Phillips-Wren, G., Jain, L.C., Howlett, R.J. (eds) New Advances in Intelligent Decision Technologies. Studies in Computational Intelligence, vol 199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00909-9_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-00909-9_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00908-2
Online ISBN: 978-3-642-00909-9
eBook Packages: EngineeringEngineering (R0)