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Niigata University, Japan

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4 Papers

Asynchronous Argumentation with Pervasive Personal Communication Tools

Topics: Multi-Agent Systems; Knowledge Representation and Reasoning; Distributed Problem Solving; Agent Models and Architectures; Conversational Agents; Knowledge-Based Systems

Authors: Yuki Katsura ¹ , Hajime Sawamura ¹ , Takeshi Hagiwara ¹ and Jacques Riche ²

Affiliations: ¹ Niigata University, Japan , ² Katholieke Universiteit Leuven, Belgium

Digital Object Identifier: 10.5220/0004751101050114

Proceedings of ICAART 2014, ISBN: 978-989-758-016-1

Quick Abstract

In this paper, we propose an argument-based communication tool for humans and agents, which supplements and alternates the current communication system such as Twitter, Line, etc. in order to allow us to make a more deliberate and logical human communication. For this purpose, we devised asynchronous argumentation based on our logic of multiple-valued argumentation. It may be as well reworded as asymptotic or incremental argumentation since agents could approach towards truth or justification every time argument is put forward by an agent. We have made real the asynchronous argumentation system, named PIRIKA (pilot of the right knowledge and argument), on the pervasive personal tool, iPad. Finally some lessons learned from the experimental uses of PIRIKA are reported.

Related Ontology Subjects/Areas/Topics (14)

Agent Models and Architectures	Distributed and Mobile Software Systems	Knowledge-Based Systems
Agents	Distributed Problem Solving	Multi-Agent Systems
Artificial Intelligence	Enterprise Information Systems	Software Engineering
Artificial Intelligence and Decision Support Systems	Knowledge Engineering and Ontology Development	Symbolic Systems
Conversational Agents	Knowledge Representation and Reasoning

The State of the Art in the Development of a Versatile Argumentation System based on the Logic of Multiple-valued Argumentation

Topics: Neural Networks; Multi-Agent Systems; Uncertainty in AI ; Data Mining; Hybrid Intelligent Systems

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

Digital Object Identifier: 10.5220/0004198902170224

Proceedings of ICAART 2013, ISBN: 978-989-8565-39-6

Quick 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.

Related Ontology Subjects/Areas/Topics (29)

Agents	Health Engineering and Technology Applications	Pattern Recognition
Artificial Intelligence	Human-Computer Interaction	Physiological Computing Systems
Artificial Intelligence and Decision Support Systems	Hybrid Intelligent Systems	Sensor Networks
Biomedical Engineering	Knowledge Engineering and Ontology Development	Signal Processing
Biomedical Signal Processing	Knowledge-Based Systems	Soft Computing
Computational Intelligence	Methodologies and Methods	Software Engineering
Data Mining	Multi-Agent Systems	Symbolic Systems
Databases and Information Systems Integration	Neural Networks	Theory and Methods
Distributed and Mobile Software Systems	Neurocomputing	Uncertainty in AI
Enterprise Information Systems	Neurotechnology, Electronics and Informatics

NEURAL NETWORKS COMPUTING THE DUNGEAN SEMANTICS OF ARGUMENTATION

Topics: Higher Level Artificial Neural Network Based Intelligent Systems; Neural Network Software and Applications; Neural Multi-Agent Intelligent Systems and Applications

Authors: Yoshiaki Goto , Takeshi Hagiwara and Hajime Sawamura

Affiliation: Niigata University, Japan

Digital Object Identifier: 10.5220/0003656600050014

Proceedings of NCTA 2011/IJCCI, ISBN: 978-989-8425-84-3

Quick Abstract

Argumentation is a leading principle foundationally and functionally for agent-oriented computing where reasoning accompanied by communication plays as essential role in agent interaction. In the work of (Makiguchi and Sawamura, 2007a) (Makiguchi and Sawamura, 2007b), they constructed a simple but versatile neural network for the grounded semantics (the least fixed point semantics) in the Dung’s abstract argumentation framework (Dung, 1995). This paper further develop its theory so that it can decide which argumentation semantics (admissible, stable, complete semantics) a given set of arguments falls into. In doing so, we construct a more simple but versatile neural network that can compute all extensions of the argumentation semantics. The result leads to a neural-symbolic system for argumentation.

Related Ontology Subjects/Areas/Topics (21)

Artificial Intelligence	Higher Level Artificial Neural Network Based Intelligent Systems	Neurotechnology, Electronics and Informatics
Artificial Intelligence and Decision Support Systems	Human-Computer Interaction	Pattern Recognition
Biomedical Engineering	Methodologies and Methods	Physiological Computing Systems
Biomedical Signal Processing	Neural Multi-Agent Intelligent Systems and Applications	Sensor Networks
Computational Intelligence	Neural Network Software and Applications	Signal Processing
Enterprise Information Systems	Neural Networks	Soft Computing
Health Engineering and Technology Applications	Neurocomputing	Theory and Methods

REALIZATION OF EFFECTIVE DISASTER VICTIM SUPPORT THROUGH INFORMATION INTEGRATION AND VISUALIZATION USING GIS

Topics: Expert Systems in Healthcare; Practice Based Research Methods for Assistive Technology; Design and Development Methodologies for Healthcare IT; Healthcare Management Systems

Authors: Munenari Inoguchi ¹ , Keiko Tamura ¹ , Shigeo Tatsuki ² and Haruo Hayashi ³

Affiliations: ¹ Niigata University, Japan , ² Doshisha University, Japan , ³ Kyoto University, Japan

Digital Object Identifier: 10.5220/0002693703810387

Proceedings of HEALTHINF 2010/BIOSTEC, ISBN: 978-989-674-016-0

Quick Abstract

Disaster victims, who cannot make progress in their life recovery by themselves, need to be supported generously by local government. However, there is no information management system for the progress of their life recovery process in order to identify the individual needs of victims. In the first step of this research, we designed and developed Victims Master Database which stored the situation of progress of victims’ life recovery process. This master database is developed by the integration of 5 databases; two of those are Residents’ Ledger and Fixed Asset Tax Rolls which are used in daily routine business, and the others are databases for granted certification of building damage degree, relief programs management and public temporary housing management which are constructed after the disaster. In this integration, however, it is unable to connect together simply because there is no relational key in each database. Against this issue, we applied GeoWrap method which can connect databases in GIS by the spatial proximity between pieces of information. In the second step, we developed the information management system which can ascertain victims’ life recovery status and visualize it in spatial. By using this system, responders developed common operational pictures of victims’ status, and provide generous support for victims with special needs effectively.

Related Ontology Subjects/Areas/Topics (10)

Artificial Intelligence	Health Information Systems	Knowledge-Based Systems
Biomedical Engineering	Healthcare Management Systems	Practice Based Research Methods for Assistive Technology
Design and Development Methodologies for Healthcare IT	Knowledge Engineering and Ontology Development	Symbolic Systems
Expert Systems

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