Abstract
We studied the many-valued argumentation frameworks. They allow agents to make arguments with self or other agents under uncertain knowledge which is to be represented in the expressive EGAP (Extended Generalized Annotated Logic Programming). In this paper, we describe the implementation of the EGAP-based multi-valued argument models. The versatility of our many-valued argument models is shown through convincing argument examples. © Springer-Verlag 2004.
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CITATION STYLE
Fukumoto, T., Takahashi, T., & Sawamura, H. (2004). Implementing EGAP-Based many-valued argument model for uncertain knowledge. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3215, 1–7. https://doi.org/10.1007/978-3-540-30134-9_1
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