IP Library › Granted Patent US 12,422,799
Granted Patent B2
US 12,422,799 · App. 17/948,590 · Granted Sep 23, 2025

State prediction system, member determination system, and state prediction method

Inventors: Yasuo Katsuhara (Susono, JP); Tomoya Takatani (Nisshin, JP); Hayato Yamaguchi (Susono, JP)
Assignee: TOYOTA JIDOSHA KABUSHIKI KAISHA
G05B13/048G05B15/02
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Quick Facts
Patent No.
US 12,422,799
App. No.
17/948,590
Granted
Sep 23, 2025
Kind
B2
Abstract

A state prediction system includes a controller. The controller is configured to acquire a current state value indicating a current state of a targeted individual in a group. The controller is configured to acquire a state propagation amount indicating a state amount propagated from another person in the group to the targeted individual by communication between the targeted individual and the other person. The controller is configured to predict a future state value indicating a future state of the targeted individual from the acquired current state value of the targeted individual and the acquired state propagation amount.

Claims (34)

1. A state prediction system comprising a controller configured to

acquire a current state value indicating a current state of a targeted individual in a group,

acquire a state propagation amount indicating a state amount propagated from another person in the group to the targeted individual by communication between the targeted individual and the another person,

predict a future state value indicating a future state of the targeted individual from the acquired current state value of the targeted individual and the acquired state propagation amount,

acquire, as information, a current state value indicating a current state of the another person, a current communication amount between the targeted individual and the another person, and a degree of influence of the another person on a state of the targeted individual, and

derive the state propagation amount from the another person to the targeted individual based on the acquired information.

2. The state prediction system according to claim 1 , wherein the controller is configured to

derive, as the state propagation amount from the another person to the targeted individual, a product of the current state value of the another person, the current communication amount between the targeted individual and the another person, and the degree of the influence of the another person on the state of the targeted individual, and

derive, as the future state value of the targeted individual, a sum of the current state value of the targeted individual and the state propagation amount from the another person to the targeted individual.

3. The state prediction system according to claim 1 , wherein the controller is configured to

for each of a plurality of another persons in the group, derive, as the state propagation amount from the another person to the targeted individual, a product of the current state value of the another person, the current communication amount between the targeted individual and the another person, and the degree of the influence of the another person on the state of the targeted individual, and

derive, as the future state value of the targeted individual, a total sum of the current state value of the targeted individual and state propagation amounts from the another persons to the targeted individual.

4. The state prediction system according to claim 1 , wherein the controller is configured to

for each of a plurality of another persons in the group, acquire the state propagation amount from the another person to the targeted individual, and

compare the acquired state propagation amounts from the another persons to the targeted individual and, based on a comparison result, propose a change in a communication amount between the targeted individual and the another person such that the future state value of the targeted individual is improved.

5. The state prediction system according to claim 1 , wherein the controller is configured to

predict a future state value of each of a plurality of persons in the group, and

predict a future group state value indicating a future state of the group based on the predicted future state value of each of the persons.

6. The state prediction system according to claim 5 , wherein the controller is configured to

derive a target communication amount between the persons such that the predicted future group state value is improved, and

compare a current communication amount between two targeted persons in the group with the target communication amount and propose a change in a communication amount based on a comparison result.

7. A member determination system comprising a controller configured to

temporarily set a plurality of persons who are candidates that constitute a group,

for each of the temporarily set persons, acquire a current state value indicating a current state of the person,

for each of the temporarily set persons, acquire a state propagation amount indicating a state amount propagated from another person in the group to the person, the state amount being predicted based on a past communication amount between the person and the another person,

for each of the temporarily set persons, predict a future state value indicating a future state of the person from the acquired current state value of the person and the acquired state propagation amount to the person,

predict a future group state value indicating a future state of the group based on the predicted future state value of each of the persons, and

when the predicted future group state value satisfies a predetermined condition for a good state, determine the temporarily set persons as members of the group.

8. A state prediction method that is executed by a computer, the state prediction method comprising:

acquiring a current state value indicating a current state of a targeted individual in a group;

acquiring a state propagation amount indicating a state amount propagated from another person in the group to the targeted individual by communication between the targeted individual and the another person;

predicting a future state value indicating a future state of the targeted individual from the acquired current state value of the targeted individual and the acquired state propagation amount;

acquiring, as information, a current state value indicating a current state of the another person, a current communication amount between the targeted individual and the another person, and a degree of influence of the another person on a state of the targeted individual, and

deriving the state propagation amount from the another person to the targeted individual based on the acquired information.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 21, 2022
From: KATSUHARA, YASUO; TAKATANI, TOMOYA; YAMAGUCHI, HAYATO
To: TOYOTA JIDOSHA KABUSHIKI KAISHA
Reel/Frame 061166/0156 →
Priority Claims (1)
JP 2021-163089 · Oct 1, 2021 · national
Continuity (1)
Related Publication 20230107401A1 · Apr 6, 2023
References Cited (16)
US 10187388B2 · Higgins · 2019 [cited by examiner]
US 20090136909A1 · Asukai · 2009 [cited by examiner]
US 20130053086A1 · Akitomi · 2013 [cited by examiner]
US 20150220613A1 · Tsubouchi · 2015 [cited by examiner]
US 20160128617A1 · Morris · 2016 [cited by examiner]
US 20190139438A1 · Tu et al. · 2019 [cited by applicant]
CN 106295702A · 2017 [cited by examiner]
CN 108650614A · 2018 [cited by examiner]
CN 108650614B · 2020 [cited by examiner]
EP 3992877A1 · 2022 [cited by examiner]
JP 2011186521A · 2011 [cited by applicant]
JP 2018139087A · 2018 [cited by applicant]
JP 2019087257A · 2019 [cited by applicant]
JP 7068215B2 · 2022 [cited by examiner]
TR 201614979A1 · 2018 [cited by examiner]
WO WO2019000073A1 · 2019 [cited by examiner]