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Patent Searching and Data


Title:
CONTROL APPARATUS, CONTROL PROGRAM, LEARNING DATA CREATION METHOD, AND LEARNING METHOD
Document Type and Number:
WIPO Patent Application WO/2018/211927
Kind Code:
A1
Abstract:
Provided is a technology for ensuring that, even when conflict arises between a plurality of controls, control target apparatuses do not become inoperative. A control apparatus according to one aspect of the present invention includes a first control processing unit configured to control operation of a first control target apparatus, based on a control value output from a trained first learning machine that has performed learning for controlling operation of the first control target apparatus, a second control processing unit configured to control operation of a second control target apparatus, based on a control value output from a trained second learning machine that has performed learning for controlling operation of the second control target apparatus, and a conflict resolution unit configured to, when control of the first control target apparatus based on the control value output from the first learning machine conflicts with control of the second control target apparatus based on the control value output from the second learning machine, resolve the conflict by correcting control of the first and second control target apparatuses.

Inventors:
ANDO TANICHI (JP)
Application Number:
PCT/JP2018/016703
Publication Date:
November 22, 2018
Filing Date:
April 25, 2018
Export Citation:
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Assignee:
OMRON TATEISI ELECTRONICS CO (JP)
International Classes:
G06N3/04
Domestic Patent References:
WO2004018158A22004-03-04
Foreign References:
US6594684B12003-07-15
JP2016532355A2016-10-13
Other References:
JUNG K ED - CALDERARA SIMONE ET AL: "Neural network-based text location in color images", PATTERN RECOGNITION LETT, ELSEVIER, AMSTERDAM, NL, vol. 22, no. 14, 1 December 2001 (2001-12-01), pages 1503 - 1515, XP004303677, ISSN: 0167-8655, DOI: 10.1016/S0167-8655(01)00096-4
ANA L C BAZZAN: "Opportunities for multiagent systems and multiagent reinforcement learning in traffic control", AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, KLUWER ACADEMIC PUBLISHERS, BO, vol. 18, no. 3, 7 September 2008 (2008-09-07), pages 342 - 375, XP019668772, ISSN: 1573-7454
YI JIAO ET AL: "Analyses of conflict among exception in multi-agent system and an integrated management mechanism", COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN, 2005. PROCEEDINGS OF TH E NINTH INTERNATIONAL CONFERENCE ON COVENTRY, UK MAY 24-26, 2005, PISCATAWAY, NJ, USA,IEEE, vol. 1, 24 May 2005 (2005-05-24), pages 429 - 433, XP010832926, ISBN: 978-1-84600-002-7
LEE ET AL: "Conflict resolution in multi-agent based Intelligent Environments", BUILDING AND ENVIRONMENT, PERGAMON PRESS, OXFORD, GB, vol. 45, no. 3, 1 March 2010 (2010-03-01), pages 574 - 585, XP026740480, ISSN: 0360-1323, [retrieved on 20090726], DOI: 10.1016/J.BUILDENV.2009.07.013
FERNANDO LOPES ET AL: "Negotiation among autonomous computational agents: principles, analysis and challenges", ARTIFICIAL INTELLIGENCE REVIEW, KLUWER ACADEMIC PUBLISHERS, DO, vol. 29, no. 1, 15 July 2009 (2009-07-15), pages 1 - 44, XP019727185, ISSN: 1573-7462
Attorney, Agent or Firm:
TACHIBANA, Kenji et al. (JP)
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