AIMC Topic: Decision Making

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What Are Humans Doing in the Loop? Co-Reasoning and Practical Judgment When Using Machine Learning-Driven Decision Aids.

The American journal of bioethics : AJOB May 20, 2024
Within the ethical debate on Machine Learning-driven decision support systems (ML_CDSS), notions such as "human in the loop" or "meaningful human control" are often cited as being necessary for ethical legitimacy. In addition, ethical principles usua...
Machine Learning Decision Support Techniques Decision Making Judgment Humans
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An integrated group decision-making method under q-rung orthopair fuzzy 2-tuple linguistic context with partial weight information.

PloS one May 20, 2024
Considering the advantages of q-rung orthopair fuzzy 2-tuple linguistic set (q-RFLS), which includes both linguistic and numeric data to describe evaluations, this article aims to design a new decision-making methodology by integrating Vlsekriterijum...
Decision Making Algorithms Humans Fuzzy Logic Linguistics
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Collaborative hunting in artificial agents with deep reinforcement learning.

eLife May 7, 2024
Collaborative hunting, in which predators play different and complementary roles to capture prey, has been traditionally believed to be an advanced hunting strategy requiring large brains that involve high-level cognition. However, recent findings th...
Animals Deep Learning Humans Computer Simulation Cooperative Behavior Decision Making Reinforcement, Psychology Predatory Behavior
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A novel MCGDM technique based on correlation coefficients under probabilistic hesitant fuzzy environment and its application in clinical comprehensive evaluation of orphan drugs.

PloS one May 6, 2024
Probabilistic hesitant fuzzy sets (PHFSs) are superior to hesitant fuzzy sets (HFSs) in avoiding the problem of preference information loss among decision makers (DMs). Owing to this benefit, PHFSs have been extensively investigated. In probabilistic...
Probability Humans Orphan Drug Production Algorithms Fuzzy Logic Decision Making
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Explainability does not mitigate the negative impact of incorrect AI advice in a personnel selection task.

Scientific reports Apr 28, 2024
Despite the rise of decision support systems enabled by artificial intelligence (AI) in personnel selection, their impact on decision-making processes is largely unknown. Consequently, we conducted five experiments (N = 1403 students and Human Resour...
Decision Making Task Performance and Analysis Personnel Selection Adult Male Young Adult Humans Artificial Intelligence Female
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Salience Interest Option: Temporal abstraction with salience interest functions.

Neural networks : the official journal of the International Neural Network Society Apr 25, 2024
Reinforcement Learning (RL) is a significant machine learning subfield that emphasizes learning actions based on environment to obtain optimal behavior policy. RL agents can make decisions at variable time scales in the form of temporal abstractions,...
Algorithms Time Factors Decision Making Reward Reinforcement, Psychology Neural Networks, Computer Machine Learning Humans
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Evaluating seismic risk by MCDM and machine learning for the eastern coast of India.

Environmental monitoring and assessment Apr 25, 2024
Natural disasters such as earthquakes endanger human lives and infrastructure, particularly in urban areas. With the advancements in science and technology in understanding natural hazards, recent studies have attempted to mitigate them by mapping th...
Risk Assessment India Neural Networks, Computer Machine Learning Decision Making Earthquakes Humans
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eXplainable Artificial Intelligence (XAI) for improving organisational regility.

PloS one Apr 24, 2024
Since the pandemic started, organisations have been actively seeking ways to improve their organisational agility and resilience (regility) and turn to Artificial Intelligence (AI) to gain a deeper understanding and further enhance their agility and ...
COVID-19 Decision Making Humans Artificial Intelligence
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A new multi-criteria decision making method for the selection of construction contractors using interval valued fuzzy set.

BMC research notes Apr 22, 2024
OBJECTIVE: This article introduces a novel approach called Digital Weighted Multi Criteria Decision Making (DWMCDM) that employs interval valued fuzzy sets to select the best contractor for building projects. The contractor is chosen based on the pre...
Humans Algorithms Construction Industry Fuzzy Logic Decision Making
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Solving the non-submodular network collapse problems via Decision Transformer.

Neural networks : the official journal of the International Neural Network Society Apr 21, 2024
Given a graph G, the network collapse problem (NCP) selects a vertex subset S of minimum cardinality from G such that the difference in the values of a given measure function f(G)-f(G∖S) is greater than a predefined collapse threshold. Many graph ana...
Decision Making Neural Networks, Computer Humans Algorithms
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