Authors:
Satoru Tannai
1
;
Shogo Ohta
1
;
Takeshi Hagiwara
1
;
Hajime Sawamura
1
and
Jacques Riche
2
Affiliations:
1
Niigata University, Japan
;
2
Katholieke Universiteit Leuven, Belgium
Keyword(s):
Multiple-valued Argumentation, Neural Net Argumentation, Eastern argumentation, Syncretic Argumentation, Argument Mining, Argument Animation.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computational Intelligence
;
Data Mining
;
Databases and Information Systems Integration
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Hybrid Intelligent Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Methodologies and Methods
;
Multi-Agent Systems
;
Neural Networks
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Software Engineering
;
Symbolic Systems
;
Theory and Methods
;
Uncertainty in AI
Abstract:
This paper reports on the state of the art in the development of a versatile argumentation system in which various auxiliary features for argumentation are incorporated. Such an argumentation system was built on our underlying argumentation system, LMA: the Logic of Multiple-valued Argumentation, aiming at promoting our understanding of argumentation processes. We in particular present some very new and unique aspects of
computational argumentation: the syncretic argumentation, the argument mining and frequent sub-argument discovery, the argument metamorphosis from symbol to animation via natural language, Eastern argumentation based on Indian logic, and the argumentation based on symbolism and connectionism. Such a hybridization of various features would broaden the scope of the applications of computational argumentation in various
ways.