Title:
LEARNING DEVICE, LEARNING SYSTEM, PROPOSAL DETERMINATION DEVICE, LEARNING METHOD, AND RECORDING MEDIUM
Document Type and Number:
WIPO Patent Application WO/2023/032964
Kind Code:
A1
Abstract:
This learning device: acquires history information about a proposal which has been implemented in a negotiation; acquires an evaluation value for the proposal from the negotiation counterpart; and learns a determination method for a self-proposal to the negotiation counterpart on the basis of the history information and the evaluation value.
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Inventors:
HIGA RYOTA (JP)
NAKADAI SHINJI (JP)
FUJITA KATSUHIDE (JP)
TAKAHASHI TOKI (JP)
NAKADAI SHINJI (JP)
FUJITA KATSUHIDE (JP)
TAKAHASHI TOKI (JP)
Application Number:
PCT/JP2022/032551
Publication Date:
March 09, 2023
Filing Date:
August 30, 2022
Export Citation:
Assignee:
NEC CORP (JP)
International Classes:
G06Q10/00; G06N3/08; G16Y20/40; G16Y40/20
Domestic Patent References:
WO2019146044A1 | 2019-08-01 |
Foreign References:
JP2020013568A | 2020-01-23 |
Other References:
TAKAHASHI TOKI, FUJITA KATSUHIDE: "Deep Reinforcement Learning Based on Opponent Model for Automated Negotiating Agents ", THE 34TH ANNUAL CONFERENCE OF THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE, 2020, 23 June 2020 (2020-06-23), pages 1 - 3, XP093042992
Attorney, Agent or Firm:
TANAI Sumio et al. (JP)
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