Academic literature on the topic 'Region connection calculus'
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Journal articles on the topic "Region connection calculus"
Li, Sanjiang, and Mingsheng Ying. "Generalized Region Connection Calculus." Artificial Intelligence 160, no. 1-2 (December 2004): 1–34. http://dx.doi.org/10.1016/j.artint.2004.05.012.
Full textStell, J. G. "Boolean connection algebras: A new approach to the Region-Connection Calculus." Artificial Intelligence 122, no. 1-2 (September 2000): 111–36. http://dx.doi.org/10.1016/s0004-3702(00)00045-x.
Full textRenz, Jochen. "A Canonical Model of the Region Connection Calculus." Journal of Applied Non-Classical Logics 12, no. 3-4 (January 2002): 469–94. http://dx.doi.org/10.3166/jancl.12.469-494.
Full textLi, Sanjiang, and Mingsheng Ying. "Region Connection Calculus: Its models and composition table." Artificial Intelligence 145, no. 1-2 (April 2003): 121–46. http://dx.doi.org/10.1016/s0004-3702(02)00372-7.
Full textSchockaert, Steven, Martine De Cock, Chris Cornelis, and Etienne E. Kerre. "Fuzzy region connection calculus: Representing vague topological information." International Journal of Approximate Reasoning 48, no. 1 (April 2008): 314–31. http://dx.doi.org/10.1016/j.ijar.2007.10.001.
Full textLiu, Weiming, and Sanjiang Li. "On standard models of fuzzy region connection calculus." International Journal of Approximate Reasoning 52, no. 9 (December 2011): 1337–54. http://dx.doi.org/10.1016/j.ijar.2011.07.001.
Full textSabharwal, Chaman L., and Jennifer L. Leopold. "Evolution of Region Connection Calculus to VRCC-3D+." New Mathematics and Natural Computation 10, no. 02 (June 3, 2014): 103–41. http://dx.doi.org/10.1142/s1793005714500069.
Full textSchockaert, Steven, Martine De Cock, and Etienne E. Kerre. "Spatial reasoning in a fuzzy region connection calculus." Artificial Intelligence 173, no. 2 (February 2009): 258–98. http://dx.doi.org/10.1016/j.artint.2008.10.009.
Full textDüntsch, Ivo, Hui Wang, and Steve McCloskey. "A relation – algebraic approach to the region connection calculus." Theoretical Computer Science 255, no. 1-2 (March 2001): 63–83. http://dx.doi.org/10.1016/s0304-3975(99)00156-5.
Full textSchockaert, Steven, Martine De Cock, Chris Cornelis, and Etienne E. Kerre. "Fuzzy region connection calculus: An interpretation based on closeness." International Journal of Approximate Reasoning 48, no. 1 (April 2008): 332–47. http://dx.doi.org/10.1016/j.ijar.2007.10.002.
Full textDissertations / Theses on the topic "Region connection calculus"
Ben, othmane Amel. "CARS-Un système multi-agent pour la prise de décision dans des applications spatiotemporelles incertaines." Thesis, Université Côte d'Azur (ComUE), 2017. http://www.theses.fr/2017AZUR4086/document.
Full textRecently, many real-world applications where different entities interact in a dynamic environment, consider the use of agents in their architectures due principally to their autonomy, reactivity and decision-making abilities. Though these systems can be made intelligent, using Artificial Intelligence (AI) techniques, agents still lack of social abilities and have limited knowledge of their environment and in particular when it comes to a dynamic environment. In fact, when operating in the real world, agents need to deal with unexpected events considering both changes in time and space. Moreover, agents must face the uncertainty, which pervades real-world scenarios in order to provide an accurate representation of the world. In this thesis, we introduce and evaluate a formal framework for recommending plans to agents in the decision making process, when they deal with uncertain spatio-temporal information. The agent-based architecture we propose to address this issue, called CARS (Cognitive Agent-based Recommender System), has been designed by extending the well-known Belief-Desire-Intention (BDI) architecture to incorporate further capabilities to support reasoning with different types of contextual information, including the social context. Uncertainty on the agent's beliefs, desires and intentions is modeled using possibility theory. To meet the requirements of real-world applications, e.g., traffic and navigation recommendation systems, we define a spatio-temporal representation of the agents' beliefs and intentions. Using such a formal framework, anticipatory reasoning about intentional dynamics can be performed with the aim to recommend an optimal plan to a certain user. Since spatio-temporal data is often considered as incomplete and/or vague, we extended the formal framework with a fuzzy representation of spatio-temporal beliefs and intentions. The framework is evaluated through an Agent Based Simulation (ABS) in a real-world traffic scenario. This ABS allowed us to create a virtual environment to test the impact of the different features of our framework as well as to evaluating the main strengths and weaknesses of the proposed agent architecture
Chipofya, Malumbo Chaka. "A qualitive reasoning approach for improving query results for sketch based queries by topological analysis of spatial aggregation." Master's thesis, 2010. http://hdl.handle.net/10362/8258.
Full textSketch-based spatial query systems provide an intuitive method of user interaction for spatial databases. These systems must be capable of interpreting user sketches in a way that matches the information that the user intended to provide. One challenge that must be overcome is that humans always simplify the environments they have experienced and this is reflected in the sketches they draw. One such simplification is manifested as aggregation or combination of spatial objects into conceptually or spatially related groups. In this thesis I develop a system that uses reasoning tools of the RCC-8 to evaluate sketchbased queries and provide a method for minimizing the effects of aggregation by determining whether a solution to a query can be expanded if some groups of regions are assumed to be parts of a larger aggregate region. If such a group of regions is found, then this group must be included in the solution. The solution is approximate because the approach taken only verifies that assumed parts of an aggregate are not inconsistent with the configuration of the whole solution. Only cases where the size of the solution equals the size of the query minus one are analysed. It is observed that correctly identifying aggregated regions leads to solutions that are more similar to the original query sketch when the size of every other solution is smaller than the size of the query or when a lower limit is placed on the acceptable size of a solution because the new, expanded or refined solution becomes more complete with respect to the sketch of the query.
santacà, katia. "Attack States Identification in a Logical Framework of Communicating Agents." Doctoral thesis, 2019. http://hdl.handle.net/11562/995241.
Full textBooks on the topic "Region connection calculus"
Straus, Scott. Political Science and Genocide. Edited by Donald Bloxham and A. Dirk Moses. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199232116.013.0009.
Full textBook chapters on the topic "Region connection calculus"
Shekhar, Shashi, and Hui Xiong. "Region Connection Calculus." In Encyclopedia of GIS, 956. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1101.
Full textHu, He. "Deep Topological Reasoning with Region Connection Calculus." In Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery, 830–37. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89698-0_85.
Full textBalbiani, Philippe, and Çiğdem Gencer. "Finitariness of Elementary Unification in Boolean Region Connection Calculus." In Frontiers of Combining Systems, 281–97. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66167-4_16.
Full textSerrano, Miguel A., Miguel A. Patricio, Jesús García, and José M. Molina. "Automatically Updating a Dynamic Region Connection Calculus for Topological Reasoning." In Advances in Intelligent and Soft Computing, 69–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19908-0_8.
Full textSchwarzentruber, François, and Jin-Kao Hao. "Drawing Euler Diagrams from Region Connection Calculus Specifications with Local Search." In Logics in Artificial Intelligence, 582–90. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11558-0_41.
Full textDavari, Somayeh, and Nasser Ghadiri. "Fuzzy Region Connection Calculus and Its Application in Fuzzy Spatial Skyline Queries." In Advances in Intelligent Systems and Computing, 659–77. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22871-2_45.
Full textLee, Ickjai, and Mary-Anne Williams. "Multi-level Clustering and Reasoning about Its Clusters Using Region Connection Calculus." In Advances in Knowledge Discovery and Data Mining, 283–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36175-8_28.
Full textStaffetti, Ernesto, Antoni Grau, Francesc Serratosa, and Alberto Sanfeliu. "Shape Representation and Indexing Based on Region Connection Calculus and Oriented Matroid Theory." In Discrete Geometry for Computer Imagery, 267–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39966-7_25.
Full textSabharwal, Chaman L., and Jennifer L. Leopold. "Identification of Relations in Region Connection Calculus: 9-Intersection Reduced to 3 + -Intersection Predicates." In Lecture Notes in Computer Science, 362–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45111-9_32.
Full textSabharwal, Chaman L., and Jennifer L. Leopold. "Qualitative Spatial Reasoning in 3D: Spatial Metrics for Topological Connectivity in a Region Connection Calculus." In Mining Intelligence and Knowledge Exploration, 215–28. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13817-6_22.
Full textConference papers on the topic "Region connection calculus"
Davari, Somayeh, and Nasser Ghadiri. "Spatial database implementation of fuzzy region connection calculus for analysing the relationship of diseases." In 2015 23rd Iranian Conference on Electrical Engineering (ICEE). IEEE, 2015. http://dx.doi.org/10.1109/iraniancee.2015.7146310.
Full textBouraoui, Zied, Sébastien Konieczny, Thanh Ma, Nicolas Schwind, and Ivan Varzinczak. "Region-Based Merging of Open-Domain Terminological Knowledge." In 19th International Conference on Principles of Knowledge Representation and Reasoning {KR-2022}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/kr.2022/9.
Full textSioutis, Michael, and Jean-François Condotta. "Efficiently Enforcing Path Consistency on Qualitative Constraint Networks by Use of Abstraction." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/175.
Full textLi, Sanjiang, Zhiguo Long, Weiming Liu, Matt Duckham, and Alan Both. "On Redundant Topological Constraints (Extended Abstract)." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/714.
Full textBrake, M. R. "A Hybrid Approach for the Modal Analysis of Continuous Systems With Localized Nonlinear Constraints." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-37377.
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