Results 301 to 310 of about 27,795,417 (374)

Assessing personality profile: A qualitative study from drug abuse rehabilitation policies. [PDF]

MethodsX
Purwandari E, Japar M, Asyanti S, Giri RS, Yuliatun I, Madyaningrum E, Widyarini N.   +6 more
europepmc   +1 more source

A Real-Time Expert System Approach To Freeway Incident Management

, 1991
Stephen G. Ritchie, N Prosser
openalex   +1 more source

Large Language Model-Based Chatbots and Agentic AI for Mental Health Counseling: Systematic Review of Methodologies, Evaluation Frameworks, and Ethical Safeguards. [PDF]

JMIR AI
Cho HN, Wang J, Hu D, Zheng K.
europepmc   +1 more source

Legal interpretation and AI: From expert systems to argumentation and LLMs

Vaclav Janecek, Giovanni Sartor
openalex   +1 more source

Beyond black-box AI: Interpretable hybrid systems for dementia care. [PDF]

Alzheimers Dement (Amst)
Kang MJY, Yang W, Roberts MR, Kang BH, Malpas CB.   +4 more
europepmc   +1 more source

Adaptive diagnostic reasoning framework for pathology with multimodal large language models. [PDF]

Commun Med (Lond)
Hong Y, Kao KC, Edwards L, Liu NT, Huang CY, Oliveira-Kowaleski A, Hsieh CJ, Lin NYC.   +7 more
europepmc   +1 more source

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Expert systems: Definitions, advantages and issues in medical field applications

Expert Systems With Applications, 2021
Aurora Saibene, Michela Assale, Marta Giltri   +2 more
semanticscholar   +3 more sources

The role of fuzzy logic in the management of uncertainty in expert systems

Fuzzy Sets and Systems, 1983
L. Zadeh
semanticscholar   +3 more sources

On the Robustness of Belief-Rule-Based Expert Systems

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023
Belief rule base (BRB) expert system has been widely used in complex system modeling. Robustness is crucial to the modeling performance and safety of BRB. For a better understanding and utility of BRB, there is thereby an urgent need to know what kind of
You Cao, Zhijie Zhou, Shuaiwen Tang, Pengyun Ning, Manlin Chen   +4 more
semanticscholar   +1 more source

Inverse Reinforcement Q-Learning Through Expert Imitation for Discrete-Time Systems

IEEE Transactions on Neural Networks and Learning Systems, 2021
In inverse reinforcement learning (RL), there are two agents. An expert target agent has a performance cost function and exhibits control and state behaviors to a learner.
Wenqian Xue, Bosen Lian, Jialu Fan, Patrik Kolaric, Tianyou Chai, F. Lewis   +5 more
semanticscholar   +1 more source