Abstract | ||
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Innovators Marketplace on Data Jackets (IMDJ) is called as Innovation Game. The Innovation Game seems a game where a new production will be obtained during the combination of various techniques, materials and previous products. During conducting the IMDJ participants generate hypotheses to explain the shown requirements. Usually they refer to the existing techniques or consult with the network to obtain the necessary techniques. In fact it is rather difficult to determine which techniques will be necessary to the requirements. Because the IMDJ data base is not fully opened to the public. In the case, participants should guess or estimate inside the data base. Sometimes it is necessary to consider inconsistent requirements. In this paper, we will discuss the hypotheses generation in such an inconsistent situation. In addition, I will introduce paraconsistent logic to deal with contradictory situations. 2018 The Authors. Published by Elsevier Ltd. |
Year | DOI | Venue |
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2018 | 10.1016/j.procs.2018.07.251 | Procedia Computer Science |
Keywords | Field | DocType |
abduction,IMDJ,inconsistent requirements,paraconsistent logic | Data science,Paraconsistent logic,Computer science,Artificial intelligence,Innovation game,Machine learning | Conference |
Volume | ISSN | Citations |
126 | 1877-0509 | 0 |
PageRank | References | Authors |
0.34 | 1 | 1 |
Name | Order | Citations | PageRank |
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Akinori Abe | 1 | 108 | 30.05 |