Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management | Paper Citation Record

Observation 667f9ffb-42c5-4291-b21c-871a5a46b7f5 · outbound

This paper cites ”Precision agricul- ture—a worldwide overview.” Computers and electronics in agriculture 36, no.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”Precision agricul- ture—a worldwide overview.” Computers and electronics in agriculture 36, no

Reference 1

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Observation 359d4b6a-a423-4d9c-a942-26cc5ce6bc1d · outbound

This paper cites Martin, and Naira Hov- akimyan.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management Martin, and Naira Hov- akimyan

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:20.030110Z

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This paper cites an unresolved cited work.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:10:20.013178Z

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Observation 13989704-c9a7-4f3d-9b56-0ebda0127c1b · outbound

This paper cites ”Learning- based agricultural management in partially observable environments subject to climate variability.” arXiv preprint arXiv:2401.01273 (2024).

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”Learning- based agricultural management in partially observable environments subject to climate variability.” arXiv preprint arXiv:2401.01273 (2024)

Reference 4

Resolution: verified exact; raw_fallback, observed 2026-08-15T21:10:19.492209Z

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Observation 386d1037-d454-4b72-be2a-2d32ec653ddd · outbound

This paper cites ”Continual Reinforce- ment Learning for Intelligent Agricultural Management under Climate Changes.” Computers, Materials & Continua 81, no.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”Continual Reinforce- ment Learning for Intelligent Agricultural Management under Climate Changes.” Computers, Materials & Continua 81, no

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.999100Z

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Observation 8d6cd653-8747-4dfb-8fef-43b6a2229ce8 · outbound

This paper cites ”Guidelines for human-AI interaction.” In Proceedings of the 2019 chi conference on human factors in computing systems, pp.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”Guidelines for human-AI interaction.” In Proceedings of the 2019 chi conference on human factors in computing systems, pp

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.981699Z

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Observation 735179e1-2b26-429e-80bb-9e404708f0a2 · outbound

This paper cites Lim, and Mohan Kankanhalli.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management Lim, and Mohan Kankanhalli

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.966814Z

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Observation 04ed9652-630a-4b9c-8717-1d05be593c47 · outbound

This paper cites ”Automated agrifood futures: Robotics, labor and the distributive politics of digital agriculture.” The Journal of Peasant Studies 47, no.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”Automated agrifood futures: Robotics, labor and the distributive politics of digital agriculture.” The Journal of Peasant Studies 47, no

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.945842Z

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Observation 0e880d7a-84f3-4485-b8ab-704f9a8167e2 · outbound

This paper cites ”Looking through a responsible innovation lens at un- even engagements with digital farming.” NJAS-Wageningen Journal of Life Sciences 90 (2019): 100294.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”Looking through a responsible innovation lens at un- even engagements with digital farming.” NJAS-Wageningen Journal of Life Sciences 90 (2019): 100294

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.924329Z

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Observation 1d42d8de-6fc5-42d3-bb2f-16c4d70be479 · outbound

This paper cites ”Agriculture 4.0: Making it work for peo- ple, production, and the planet.” Land use policy 100 (2021): 104933.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”Agriculture 4.0: Making it work for peo- ple, production, and the planet.” Land use policy 100 (2021): 104933

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.902257Z

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Observation 3cc3cae2-c80b-40c8-a26e-c731cdd6e239 · outbound

This paper cites ”Developing and main- taining trust in work relationships.” (1996).

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”Developing and main- taining trust in work relationships.” (1996)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.886536Z

Source-reported events for the cited work

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This paper cites ”Toward understanding and measuring conditions of trust: Evolution of a conditions of trust inventory.” Journal of manage- ment 17, no.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”Toward understanding and measuring conditions of trust: Evolution of a conditions of trust inventory.” Journal of manage- ment 17, no

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.871132Z

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Observation 7ea1ae21-81f7-4226-b79a-60620a844ddc · outbound

This paper cites ”Trust in human-AI interaction: Scoping out models, measures, and methods.” In CHI conference on human factors in computing systems extended abstracts, pp.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”Trust in human-AI interaction: Scoping out models, measures, and methods.” In CHI conference on human factors in computing systems extended abstracts, pp

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.856745Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c103d27d-38cf-499f-b1ae-2222e0ddbc07 · outbound

This paper cites Davis, and F.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management Davis, and F

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.843687Z

Source-reported events for the cited work

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Observation 2c50cfb1-6420-4842-a5e8-2be440ef9bb0 · outbound

This paper cites Weick, and Roderick M.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management Weick, and Roderick M

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.828450Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bcf1960d-87a1-4733-a513-2c34e73aa17c · outbound

This paper cites ”Towards transparent robotic planning via contrastive explanations.” In 2020 IEEE/RSJ In- ternational Conference on Intelligent Robots and Systems (IROS), pp.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”Towards transparent robotic planning via contrastive explanations.” In 2020 IEEE/RSJ In- ternational Conference on Intelligent Robots and Systems (IROS), pp

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.809484Z

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Observation 4cff80ff-2333-42a6-b158-42e9cf10f7b2 · outbound

This paper cites an unresolved cited work.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:10:19.793682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8ea4e992-74e9-4dc5-b607-4e13c8a55c17 · outbound

This paper cites ”Safe reinforce- ment learning under temporal logic with reward design and quantum action selection.” Scientific reports 13, no.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”Safe reinforce- ment learning under temporal logic with reward design and quantum action selection.” Scientific reports 13, no

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.778217Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9d38fe8c-c6df-42e0-9676-63d9cb59bb54 · outbound

This paper cites ”Reinforcement learning with soft temporal logic constraints using limit- deterministic generalized B¨ uchi automaton.” Journal of Automation and Intelligence 4, no.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”Reinforcement learning with soft temporal logic constraints using limit- deterministic generalized B¨ uchi automaton.” Journal of Automation and Intelligence 4, no

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.764140Z

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Observation b60dc9b0-c2c5-40d0-9c80-075b5a93c746 · outbound

This paper cites Online Motion Planning with Soft Metric Interval Temporal Logic in Unknown Dynamic Environment.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management Online Motion Planning with Soft Metric Interval Temporal Logic in Unknown Dynamic Environment

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Resolution: verified exact; local_arxiv, observed 2026-08-15T21:10:19.366187Z

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Observation 4977074b-c1df-4ddd-8fe8-4fdbe2ff8a56 · outbound

This paper cites ”Model- based motion planning in pomdps with temporal logic specifications.” Advanced Robotics 37, no.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”Model- based motion planning in pomdps with temporal logic specifications.” Advanced Robotics 37, no

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.749165Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 960852eb-d413-4a56-9559-614be5340db0 · outbound

This paper cites ”Reinforcement learning- based motion planning in partially observable environments under eth- ical constraints.” AI and Ethics (2024): 1-21.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”Reinforcement learning- based motion planning in partially observable environments under eth- ical constraints.” AI and Ethics (2024): 1-21

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.732959Z

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This paper cites an unresolved cited work.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-15T21:10:19.717535Z

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Observation 99363c95-f422-4dc1-9bb4-ca4e39f7490a · outbound

This paper cites ”Q-learning.” Machine learning 8 (1992): 279-292.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”Q-learning.” Machine learning 8 (1992): 279-292

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.701695Z

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This paper cites Playing Atari with Deep Reinforcement Learning.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management Playing Atari with Deep Reinforcement Learning

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This paper cites Model-free Motion Planning of Autonomous Agents for Complex Tasks in Partially Observable Environments.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management Model-free Motion Planning of Autonomous Agents for Complex Tasks in Partially Observable Environments

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Resolution: verified exact; local_arxiv, observed 2026-08-15T21:10:19.332186Z

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This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

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Resolution: unresolved; no resolver link, observed 2026-08-15T21:10:19.139704Z

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This paper cites Schwarz, Junchao Li, and Shaoping Xiao.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management Schwarz, Junchao Li, and Shaoping Xiao

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.686876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e18c4f4a-967b-447f-86f2-5c886e982ea7 · outbound

This paper cites ”Empirical evaluation methods for multiobjective rein- forcement learning algorithms.” Machine learning 84 (2011): 51-80.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”Empirical evaluation methods for multiobjective rein- forcement learning algorithms.” Machine learning 84 (2011): 51-80

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.671040Z

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Observation 534fe7f4-b302-44b9-9000-907cecf22a66 · outbound

This paper cites ”Multi-objective reinforcement learning using sets of pareto dominating policies.” The Journal of Ma- chine Learning Research 15, no.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”Multi-objective reinforcement learning using sets of pareto dominating policies.” The Journal of Ma- chine Learning Research 15, no

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.658389Z

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This paper cites ”A survey of multi-objective sequential decision-making.” Jour- nal of Artificial Intelligence Research 48 (2013): 67-113.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”A survey of multi-objective sequential decision-making.” Jour- nal of Artificial Intelligence Research 48 (2013): 67-113

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.646716Z

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Observation 3ecfa776-38d3-4777-8964-883fe513ea3a · outbound

This paper cites Multi-Objective Deep Reinforcement Learning.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management Multi-Objective Deep Reinforcement Learning

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Resolution: unresolved; no resolver link, observed 2026-08-15T21:10:19.161001Z

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Observation 5379f68d-9826-453b-b028-12c11fc6b55e · outbound

This paper cites ”Multiobjective reinforcement learning: A comprehensive overview.” IEEE Transactions on Systems, Man, and Cybernetics: Systems 45, no.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”Multiobjective reinforcement learning: A comprehensive overview.” IEEE Transactions on Systems, Man, and Cybernetics: Systems 45, no

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.634756Z

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Observation 3959a772-9781-46bf-a9c0-0bba86d5cf75 · outbound

This paper cites ”Self-improving reactive agents based on reinforcement learning, planning and teaching.” Machine learning 8 (1992): 293-321.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”Self-improving reactive agents based on reinforcement learning, planning and teaching.” Machine learning 8 (1992): 293-321

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.621527Z

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Observation fb94ad3b-e24a-43d5-9679-7a01434e2a25 · outbound

This paper cites gym-DSSAT: a crop model turned into a Reinforcement Learning environment.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management gym-DSSAT: a crop model turned into a Reinforcement Learning environment

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Resolution: unresolved; no resolver link, observed 2026-08-15T21:10:19.174646Z

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Observation d1340426-1daf-4d3a-a4e4-ec67fbe5c978 · outbound

This paper cites Intelligent Agricultural Management Considering N$_2$O Emission and Climate Variability with Uncertainties.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management Intelligent Agricultural Management Considering N$_2$O Emission and Climate Variability with Uncertainties

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Resolution: verified exact; local_arxiv, observed 2026-08-15T21:10:19.270483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b9ca4987-d6fb-4b1c-830d-ba94b114a876 · outbound

This paper cites medium” pillow? Another look at constructed and inherent preferences.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management medium” pillow? Another look at constructed and inherent preferences

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.606339Z

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Observation 4300e6bf-41c4-4bc6-a56d-62327d602c3d · outbound

This paper cites ”The construction of preference.” American psychologist 50, no.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”The construction of preference.” American psychologist 50, no

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.592284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d40dd5df-9e9c-4db8-bc25-f28ad62dd244 · outbound

This paper cites ”Feeling and thinking: Preferences need no infer- ences.” American psychologist 35, no.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”Feeling and thinking: Preferences need no infer- ences.” American psychologist 35, no

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.578864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 05fccb94-53a8-4ef5-a3dd-aa301b204dc3 · outbound

This paper cites ”The effect of service quality on trust and commitment varying across generations.” International journal of consumer studies 33, no.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”The effect of service quality on trust and commitment varying across generations.” International journal of consumer studies 33, no

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.564288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ffdbbff0-7b07-4925-a4b2-faba28b2b4e1 · outbound

This paper cites ”To trust or not to trust? An assessment of trust in AI-based systems: Concerns, ethics and contexts.” Technologi- cal Forecasting and Social Change 181 (2022): 121763.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”To trust or not to trust? An assessment of trust in AI-based systems: Concerns, ethics and contexts.” Technologi- cal Forecasting and Social Change 181 (2022): 121763

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.549091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cd8964c5-988a-4ce2-844a-c3dea480bf04 · outbound

This paper cites ”Surveillance and trust.” Journal of personality (1958).

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”Surveillance and trust.” Journal of personality (1958)

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.535273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 72603171-8a67-473a-9096-99ba55d4a518 · outbound

This paper cites ”Charts and Maps-Corn: Yield by Year, US” https://ipad.fas.usda.gov/countrysummary/Default.aspx?id=US&crop=Corn.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management ”Charts and Maps-Corn: Yield by Year, US” https://ipad.fas.usda.gov/countrysummary/Default.aspx?id=US&crop=Corn

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.522216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 343632ae-98d6-4d4e-8fe9-a970cbe84d0c · outbound

This paper cites Simmons, and Cade Massey.

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management Simmons, and Cade Massey

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:10:19.506600Z

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