By Sigeru Omatu, Ali Semalat, Grzegorz Bocewicz, Pawel Sitek, Izabela E. Nielsen, Julián A. García García, Javier Bajo
The thirteenth foreign Symposium on allotted Computing and synthetic Intelligence 2016 (DCAI 2016) is a discussion board to provide purposes of leading edge strategies for learning and fixing advanced difficulties. The alternate of rules among scientists and technicians from either the educational and business zone is vital to facilitate the improvement of platforms which can meet the ever-increasing calls for of today’s society. the current variation brings jointly earlier adventure, present paintings and promising destiny traits linked to dispensed computing, synthetic intelligence and their program so that it will supply effective ideas to actual difficulties.
This symposium is prepared through the collage of Sevilla (Spain), Osaka Institute of know-how (Japan), and the Universiti Teknologi Malaysia (Malaysia)
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Additional info for Distributed Computing and Artificial Intelligence, 13th International Conference
Although the three alternatives meet the requirements and satisfy the buyer at some point, the fuzzy TOPSIS method finds which is the optimal alternative, however it is possible to consider the real bias that can be calculated taking the frequency of the surveys. 12 L. Margain et al. References 1. : Nueva aproximación al método TOPSIS difuso con etiqueta lingüística. In: Tecnologías y lógica fuzzy, pp. 619–624 (2010) 2. ) y “Soft Computing. Tesis doctoral, Departamento de electrónica, tecnología de computadoras y proyectos, Universidad politécnica de Cartagena (2009) 3.
24–27. IEEE (2011) 11. : Modeling agent-based collaborative process. In: The 2nd International Conference on Computational Collective Intelligence Technology and Applications (ICCCI 2010), pp. 296-305, Taiwan, November 10–12, 2010. ISBN: 3-642-16692-X 978-3-642-16692-1 12. : Automated multi-agent negotiation framework for the construction domain. In: Distributed Computing and Artificial Intelligence, (DCAI 2015), Spain. Advances in Intelligent Systems and Computing, vol. 373, pp. 203–210, June 3–5, 2015.
All negotiations are processed via this base which is accessible by all agents. 5 Conflict Resolution Algorithm The need for this algorithm is based on the negotiation outcomes. Since any project needs a single solution, then when the negotiation outcome is a single solution, agents skip this algorithm. But when the outcome is several solutions, then another process is needed to resolve this conflict. Such situation represents a conflict between agents about the solution of that project. 5 Conclusion and Further Work In this paper, we present our initial findings on our research to develop a conceptual automated multi-agent negotiation model for decision-making in the construction domain.