Abstract
In this paper, a new framework for constraint and preference representation and reasoning is proposed, including the related definitions, algorithms and implementations. A Conditional Preference Network (CP-Net) is a widely used graphical model for expressing the preferences among various outcomes. While it allows users to describe their preferences over variables values, the CP-Net does not express the preferences over the variables themselves, thus making the orders of outcomes incomplete. Due to this limitation, an extension of CP-Nets called Tradeoffs-enhanced Conditional Preference Networks (TCP-Nets) has been proposed to represent the relative importance between variables. Nonetheless, there is no research work reporting on the implementation of TCP-Nets as a solver. Moreover, the TCP-Net only deals with preferences (soft constraints). Hard constraints are not explicitly considered. This is a real limitation when dealing with a wide variety of real life problems including both constraints and preferences. This has motivated us to propose a new model integrating TCP-Nets with the well known Constraint Satisfaction Problem (CSP) framework for constraint processing. The new model, called Constrained TCP-Net (CTCP-Net), has been implemented as a three-layer architecture system using Java and provides a GUI for users to freely describe their problem as a set of constraints and preferences. The system will then solve the problem and returns the solutions in a reasonable time. Finally, this work provides precious information for other researchers who are interested in CSPs and graphical models for preferences from the theoretical and practical aspects.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Sadaoui, S., Shil, S.K.: Constraint and qualitative preference specification in multi-attribute reverse auctions. In: Ali, M., Pan, J.-S., Chen, S.-M., Horng, M.-F. (eds.) IEA/AIE 2014, Part II. LNCS, vol. 8482, pp. 497–506. Springer, Heidelberg (2014)
Mouhoub, M., Sukpan, A.: Managing temporal constraints with preferences. Spatial Cognition & Computation 8(1–2), 131–149 (2008)
Boutilier, C., Brafman, R.I., Domshlak, C., Hoos, H.H., Poole, D.: Cp-nets: A tool for representing and reasoning with conditional ceteris paribus preference statements. Journal of Artificail Intelligence Research 21, 135–191 (2004)
Brafman, R.I., Domshlak, C., Shimony, S.E.: On graphical modeling of preference and importance. Journal of Artificial Intelligence Research 25, 389–424 (2006)
Dechter, R.: Constraint Processing. Morgan Kaufmann (2003)
Haralick, R., Elliott, G.: Increasing tree search efficiency for Constraint Satisfaction Problems. Artificial Intelligence 14, 263–313 (1980)
Mackworth, A.K., Freuder, E.: The complexity of some polynomial network-consistency algorithms for constraint satisfaction problems. Artificial Intelligence 25, 65–74 (1985)
Mackworth, A.K.: Consistency in networks of relations. Artificial Intelligence 8, 99–118 (1977)
Meseguer, P., Rossi, F., Schiex, T.: Soft constraints. In: Handbook of Constraint Programming (2006)
Mouhoub, M., Feng, C.: CSP techniques for solving combinatorial queries within relational databases. In: Chiong, R., Dhakal, S. (eds.) Natural Intelligence for Scheduling, Planning and Packing Problems. Studies in Computational Intelligence, vol. 250, pp. 131–151. Springer (2009)
Lecoutre, C., Szymanek, R.: Generalized arc consistency for positive table constraints. In: Benhamou, F. (ed.) CP 2006. LNCS, vol. 4204, pp. 284–298. Springer, Heidelberg (2006)
Lecoutre, C., Vion, J.: Bound consistencies for the csp. In: Proceeding of the Second International Workshop "Constraint Propagation and Implementation (CPAI 2005)" Held With the 10th International Conference on Principles and Practice of Constraint Programming (CP 2005), Sitges, Spain, September 2005
Mouhoub, M., Jashmi, B.J.: Heuristic techniques for variable and value ordering in csps. In: Krasnogor, N., Lanzi, P.L. (eds.) GECCO, pp. 457–464. ACM (2011)
Mouhoub, M.: Dynamic path consistency for interval-based temporal reasoning. In: 21st International Conference on Artificial Intelligence and Applications (AIA 2003), pp. 10–13 (2003)
Mouhoub, M., Sukpan, A.: Conditional and composite temporal csps. Applied Intelligence (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Zhang, S., Mouhoub, M., Sadaoui, S. (2015). Integrating TCP-Nets and CSPs: The Constrained TCP-Net (CTCP-Net) Model. In: Ali, M., Kwon, Y., Lee, CH., Kim, J., Kim, Y. (eds) Current Approaches in Applied Artificial Intelligence. IEA/AIE 2015. Lecture Notes in Computer Science(), vol 9101. Springer, Cham. https://doi.org/10.1007/978-3-319-19066-2_20
Download citation
DOI: https://doi.org/10.1007/978-3-319-19066-2_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19065-5
Online ISBN: 978-3-319-19066-2
eBook Packages: Computer ScienceComputer Science (R0)