AIMC Topic: Decision Making

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One or two minds? Neural network modeling of decision making by the unified self.

Neural networks : the official journal of the International Neural Network Society
Ever since the seminal work of Tversky and Kahneman starting in the late 1960s, it has generally been accepted that many characteristic human decision patterns do not follow the norms of economic theories based on rational utility maximization and co...

Modeling of linear programming and extended TOPSIS in decision making problem under the framework of picture fuzzy sets.

PloS one
Picture fuzzy sets (PFSs) are comparatively a new extension of fuzzy sets which describe the human opinions that has more answers like acceptance, rejection, neutral and desist, which cannot be correctly presented in fuzzy sets (FSs) and intuitionist...

Hyper-G: An Artificial Intelligence Tool for Optimal Decision-Making and Management of Blood Glucose Levels in Surgery Patients.

Methods of information in medicine
BACKGROUND: Hyperglycemia or high blood glucose during surgery is associated with poor postoperative outcome. Knowing in advance which patients may develop hyperglycemia allows optimal assignment of resources and earlier initiation of glucose managem...

Power and decision making: new directions for research in the age of artificial intelligence.

Current opinion in psychology
Throughout history, the experience of power has occurred within the context of human-human interactions. Such power can influence decision making through at least two primary mechanisms: (1) increased goal-orientation, and (2) increased activation of...

A hybrid hierarchical soft computing approach for the technology selection problem in brick industry considering environmental competencies: A case study.

Journal of environmental management
Brick manufacturing is an important industry which produces some fundamental building materials. Since brick production industries have environmental adverse effects such as air pollution, excessive energy consumption as well as waste production, the...

Photomorphogenesis for robot self-assembly: adaptivity, collective decision-making, and self-repair.

Bioinspiration & biomimetics
Self-assembly in biology is an inspiration for engineered large-scale multi-modular systems with desirable characteristics, such as robustness, scalability, and adaptivity. Previous works have shown that simple mobile robots can be used to emulate an...

Artificial intelligence in neurocritical care.

Journal of the neurological sciences
BACKGROUND: Neurocritical care combines the management of extremely complex disease states with the inherent limitations of clinically assessing patients with brain injury. As the management of neurocritical care patients can be immensely complicated...

Understanding health management and safety decisions using signal processing and machine learning.

BMC medical research methodology
BACKGROUND: Small group research in healthcare is important because it deals with interaction and decision-making processes that can help to identify and improve safer patient treatment and care. However, the number of studies is limited due to time-...

Spatiotemporal discrimination in attractor networks with short-term synaptic plasticity.

Journal of computational neuroscience
We demonstrate that a randomly connected attractor network with dynamic synapses can discriminate between similar sequences containing multiple stimuli suggesting such networks provide a general basis for neural computations in the brain. The network...

Machine learning to refine decision making within a syndromic surveillance service.

BMC public health
BACKGROUND: Worldwide, syndromic surveillance is increasingly used for improved and timely situational awareness and early identification of public health threats. Syndromic data streams are fed into detection algorithms, which produce statistical al...