By Max Bramer, Frans Coenen, Miltos Petridis
The papers during this quantity are the refereed technical papers offered at AI-2007, the Twenty-seventh SGAI foreign convention on cutting edge suggestions and functions of man-made Intelligence, held in Cambridge in December 2007. They current new and cutting edge advancements within the box, divided into sections on Constraint delight, AI strategies, facts Mining and computing device studying, Multi-Agent platforms, information Mining and Knowledge Acquisition and Management, followed by way of the text of brief papers provided as posters on the convention. this is often the twenty-fourth quantity within the study and improvement sequence. The sequence is vital interpreting in the event you desire to sustain thus far with advancements during this very important box. the appliance circulation papers are released as a significant other quantity below the name functions and ideas in clever structures XV.
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Extra info for Research and Development in Intelligent Systems XXIV: Proceedings of AI-2007, The Twenty-seventh SGAI Initernational Conference on Innovative Techniques and Applications of Artificial Intelligence
These problems are, therefore, solved by agent-based distributed algorithms which collaborate in order to ﬁnd a solution. Some algorithms for solving CSPs attach a priority to each agent in order to rank the agents from high to low priority, eg. . When DisCSPs are made up of interconnected subproblems which are naturally distinct from other subproblems, each individual subproblem is a CSP with its own set of variables and constraints between those variables, as well as constraints between some variables in the local CSP and variables in other sub-problems (as illustrated in Figure 1).
The greedy algorithm proposed here is intended to greatly reduce the number of clashes in the initial state, but not to fully solve the puzzle. The algorithm is detailed in Figure 3. It places the missing numbers in each mini-grid in turn, filling each empty cell with the next available number that produces no clashes with the givens. At some stage within this process, it would be necessary to make placements that do incur clashes, but the overall number of initial clashes is greatly reduced. This employs a greedy algorithm that makes locally optimum choices at each placement, albeit with little realistic hope of finding a global optimum (as the algorithm is not then pursued to make further improvements to the overall placement).
13. Makoto Yokoo and Katsutoshi Hirayama. Distributed breakout algorithm for solving distributed constraint satisfaction problems. In Proceedings of the Second International Conference on Multi-Agent Systems, pages 401–408. MIT Press, 1996. 14. Makoto Yokoo and Katsutoshi Hirayama. Distributed constraint satisfaction algorithm for complex local problems. In ICMAS ’98: Proceedings of the 3rd International Conference on Multi Agent Systems, pages 372–379, Washington, DC, USA, July 1998. IEEE Computer Society.
Research and Development in Intelligent Systems XXIV: Proceedings of AI-2007, The Twenty-seventh SGAI Initernational Conference on Innovative Techniques and Applications of Artificial Intelligence by Max Bramer, Frans Coenen, Miltos Petridis