SciTePress - Affiliation Profile

Kanto Gakuin University, Japan

Context (please use complete words only)

Field

Sort by

4 Papers

Parallel Possibility Results of Preference Aggregation and Strategy-proofness by using Prolog

Topics: Multi-Agent Systems; Cooperation and Coordination; Economic Agent Models

Author: Kenryo Indo

Affiliation: Kanto Gakuen University, Japan

Digital Object Identifier: 10.5220/0004913302430248

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

Quick Abstract

Classical social choice theory provides axiomatic modeling for collective decision making in multi-agent situations as functions of a set of profiles (i.e., tuples of transitive orderings). The celebrated Arrow’s impossibility theorem (for unanimity-and-independence-obeying preference aggregation) and the Gibbard–Satterthwaite theorem (for strategy-proof voting procedures) assume the unrestricted domain as well as the transitivity of orderings. This paper presents a distribution map of all Arrow-type aggregation rules without the unrestricted domain axiom for the two-individual three-alternative case in parallel with non-imposed strategy-proof voting procedures by using a Prolog program that systematically removes profiles in the super-Arrovian domains.

Related Ontology Subjects/Areas/Topics (12)

Agents	Distributed and Mobile Software Systems	Knowledge-Based Systems
Artificial Intelligence	Economic Agent Models	Multi-Agent Systems
Artificial Intelligence and Decision Support Systems	Enterprise Information Systems	Software Engineering
Cooperation and Coordination	Knowledge Engineering and Ontology Development	Symbolic Systems

Deep Level Situation Understanding and its Application to Casual Communication between Robots and Humans

Topics: Human-Robots Interfaces; Human-Machine Interfaces

Authors: Yongkang Tang ¹ , Fangyan Dong ¹ , Mina Yuhki ¹ , Yoichi Yamazaki ² , Takanori Shibata ³ and Kaoru Hirota ¹

Affiliations: ¹ Tokyo Institute of Technology, Japan , ² Kanto Gauin University, Japan , ³ National Institute of Advanced Industrial Science and Technology (AIST), Japan

Digital Object Identifier: 10.5220/0004480402920299

Proceedings of ICINCO 2013, ISBN: 978-989-8565-71-6

Quick Abstract

The concept of Deep Level Situation Understanding is proposed to realize human-like natural communication among agents (e.g., humans and robots/machines), where it consists of surface level understanding (such as gesture/posture recognition, facial expression recognition, and speech/voice recognition), emotion understanding, intention understanding, and atmosphere understanding by applying customised knowledge of each agent and by taking considerations to careful attentions. It aims to not impose burden on humans in human-machine communication, to realize harmonious communication by excluding unnecessary troubles or misunderstandings among agents, and finally to create a peaceful, happy, and prosperous humans-robots society. A scenario is established to demonstrate several communication activities between a businessman and a secretary-robot/a human-boss/a waitress-robot/a human-partner/a therapy-robot (PARO) in one day.

Related Ontology Subjects/Areas/Topics (4)

Human-Machine Interfaces		Informatics in Control, Automation and Robotics		Robotics and Automation
Human-Robots Interfaces

Emotion Recognition of Violin Music based on Strings Music Theory for Mascot Robot System

Topics: Human-Robots Interfaces; Affective Computing

Authors: Z.-T. Liu ¹ , Z. Mu ² , L.-F. Chen ¹ , J.-J. Lu ² , T.-Y. Li ² , M. Yamaguchi ² , F. Yan ² , Y.-K. Tang ² , K. Ohnishi ² , M. L. Tangel ² , P. Q. Le ² , C. Fatichah ² , Y. Adachi ² , Y. Yamazaki ³ , F.-Y. Dong ² and K. Hirota ²

Affiliations: ¹ Tokyo Institute of Technology and Central South University, Japan , ² Tokyo Institute of Technology, Japan , ³ Kanto Gakuin University, Japan

Digital Object Identifier: 10.5220/0003991500050014

Proceedings of ICINCO 2012, ISBN: 978-989-8565-21-1

Quick Abstract

Emotion recognition of violin music is proposed based on strings music theory, where the emotional state of violin music is expressed by Affinity-Pleasure-Arousal emotion space. Besides the music features from audio processing, three features (i.e., left-hand feature, right-hand feature, and dynamics) with regard to both composition and performance of violin music, are extracted to improve the emotion recognition of violin music. To demonstrate the validity of this proposal, a dataset composing of 120 pieces of author-performed violin music with six primary emotion categories is established, by which the experimental results of emotion recognition using Support Vector Regression report overall recognition accuracy of 86.67%. The proposal could be an integral part for analyzing the communication atmosphere with background music, or be used by a music recommendation system for various occasions.

Related Ontology Subjects/Areas/Topics (5)

Affective Computing		Informatics in Control, Automation and Robotics		Robotics and Automation
Human-Robots Interfaces		Intelligent Control Systems and Optimization

IMPLEMENTATION OF 24-ARY GRID REPRESENTATION FOR RECTANGULAR SOLID DISSECTIONS

Topic: Solid and Heterogeneous Modeling

Authors: Tomokazu Arita ¹ , Satoshi Kishira ² , Tomoe Motohashi ³ , Kenshi Nomaki ² , Kimio Sugita ⁴ , Kensei Tsuchida ⁵ and Takeo Yaku ²

Affiliations: ¹ J. F. Oberlin University, Japan , ² Nihon University, Japan , ³ Kanto-gakuin University, Japan , ⁴ Tokai University, Japan , ⁵ Toyo University, Japan

Digital Object Identifier: 10.5220/0001799201030106

Proceedings of GRAPP 2009/VISIGRAPP, ISBN: 978-989-8111-67-8

Quick Abstract

In this paper, we propose 24-ary grid graphs corresponding to rectangular solid dissections for ruled line preserving operations. We also show a data structure called H9CODE that corresponds to the 24-ary grid graphs. Furthermore, we describe a voxel unification method in the 24-ary grid graphs and show that the 24-ary grid graphs are an effective model to represent solid graphics.

Related Ontology Subjects/Areas/Topics (3)

Computer Vision, Visualization and Computer Graphics

Geometry and Modeling

Solid and Heterogeneous Modeling

Topic(s):

Title:
ISBN:
Year:
Acronym:
Subject:

Title:
Author:
Affiliation:
Subject:

Name:
Affiliation:
Country:
Conference:
Subject:

Name:
Country:
Subject:

Affiliation

Filter listed results, by