30 papers · ranked by Valyu relevance
John Fox, Richard P. Cooper, David W. Glasspool
Decision-making behavior is studied in many very different fields, from medicine and economics to psychology and neuroscience, with major contributions from mathematics and statistics, computer science, AI, and other technical disciplines. However the conceptualization of what decision-making is and methods for…
Sophia Gimple, Maxime Verwoert, Laura Marras, Paul Weger + 7 more
Decision-making is an essential cognitive function. It can be impaired due to a number of neurological and psychiatric disorders as well as external factors such as time pressure or stress. To assist users during decision-making, we propose a decision-making brain computer interface (BCI) that can alert to uninformed…
Lena Cibulski, Stefan Brückner
| | Type | Leading Question | More challenging Spectrum | |-------------|----------------|---------------------------------------------------------|-------------------------------| | Complexity | # Options | How many options to choose from? | few vs. many | | | # Attributes | How many criteria (attributes) to consider?…
Eva Eigner, T. Handler
Decision-making is a fundamental capability in everyday life. Large Language Models (LLMs) provide multifaceted support in enhancing human decision-making processes. However, understanding the influencing factors of LLM-assisted decision-making is crucial for enabling individuals to utilize LLM-provided advantages and…
Jiaxi Peng, Lei Ren, Nian Yang, Luming Zhao + 2 more
'Yongcong Shao'] Decision-making competence refers to the ability to make better decisions, as defined by decision-making principles posited by models of rational choice. The adult decision-making competence (A-DMC) scale is a relatively mature evaluation tool used for decision-making competence. However, the A-DMC is…
C. Dominik Güss, Bernadette Robinson
DECISIONS AND HOW THEY ARE MADE In the wider sense, decision making is embedded in the problem-solving process and its many stages ([6]; [13]). In the narrow sense, decision making is understood as the ability to select one of several alternatives and to act accordingly ([10]). Previous research has often focused on…
Latifa Mohammad Baynouna Al Ketbi
Meta-decision as a junction between evidence and its rightful implementation is suggested in this review as a structured framework applied in healthcare, valuable to clinicians and healthcare decision-makers. The process of meta-decision requires optimum measurements to provide data necessary for identifying and…
Amin Azimi, KongFatt Wong-Lin
Neural oscillations have been associated with decision-making processes, but their underlying network mechanisms remain unclear. This study investigates how neural oscillations influence decision network models of competing cortical columns with varying intrinsic and emergent timescales. Our findings reveal that…
Liberty Severs, Qiuran Wang
Decision-making is a central function of adaptive behaviour in biological agents. However, strategies for adaptive decision-making can vary substantially across species. Here, we aim to extend the comparative scope of decision-making analyses to phylogenetically diverse organisms. To do so, we introduce the Continual…
Melissa T. Buelow, Sammy Moore, Jennifer M. Kowalsky, Bradley M. Okdie
'Bradley M. Okdie'] Decision-making is an executive function, tapping into cognitive, emotional, and personality-based components. This complexity, and the varying operational definitions of the construct, is reflected in the rich array of behavioral decision-making tasks available for use in research and clinical…
Izaak Neri, Simone Pigolotti
A distinct feature of living systems is their capacity to take decisions based on uncertain environmental signals. Examples span from the microscopic scale of cell differentiation guided by the concentration of a morphogen, to complex choices made by animals and humans. The current paradigm in decision theory assumes…
Eduardo Ramos, María Luiza Machado Campos, Fernanda Baião
Risk based in an Ontology of Behavioral Economics Authors: ['Eduardo Ramos' 'María Luiza Machado Campos' 'Fernanda Baião'] Organizational decision-making is crucial for success, yet cognitive biases can significantly affect risk preferences, leading to suboptimal outcomes. Risk seeking preferences for losses, driven by…
Benjamin Djulbegovic, Iztok Hozo, Jason Beckstead, Athanasios Tsalatsanis + 1 more
'Athanasios Tsalatsanis' 'Stephen G Pauker'] Background Dual processing theory of human cognition postulates that reasoning and decision-making can be described as a function of both an intuitive, experiential, affective system (system I) and/or an analytical, deliberative (system II) processing system. To date no…
Michael Moutoussis, Benjamín Garzón, Sharon Neufeld, Dominik R. Bach + 3 more
Decision-making underpins many important facets of our lives. Here, we assessed if a general ability factor underpins decision-making abilities. Using factor analysis of 32 decision-making measures in 830 adolescents and young adults, we identified a common factor we refer to as ‘decision acuity’ that was distinct from…
Samuel Holtzman, John S. Breese
This paper discusses the use of uncertain knowledge in eipert systems. The discussion is focused on the use of these systems to support decision making in complei, uncertain environments. Within this conteit, our research indicates that strictly probabilistic representations, which enable the use or decision-theoretic…
Emmanuelle Tognoli, Shihong Huang
Software systems now complement an incredibly vast number of human activities, and much effort has been deployed to make them quasi-autonomous with the build-up of increasingly performant self-adaptive capabilities, so that the burden of failure, interruption and functional loss requiring expert intervention is fewer…
Tshilidzi Marwala
In this paper the theory of flexibly-bounded rationality which is an extension to the theory of bounded rationality is revisited. Rational decision making involves using information which is almost always imperfect and incomplete together with some intelligent machine which if it is a human being is inconsistent to…
Robin Vloeberghs, Anne E. Urai, Kobe Desender, Scott W. Linderman
Classical decision models assume that the parameters giving rise to choice behavior are stable, yet emerging research suggests these parameters may fluctuate over time. Such fluctuations, observed in neural activity and behavioral strategies, have significant implications for understanding decision-making processes.…
Heeseung Lee, Jaeseob Lim, Sang-Hun Lee
Essential to adaptive intelligence is the ability to create mental spaces where knowledge from past experiences cumulates and integrates with newly acquired information. When engaged in decision-making tasks, humans are known to create such a space and therein form decision variables, which integrate task-essential…
Ismail Kayali
This article represents one of the contemporary trends in the application of the latest methods of classification in business, where intense competition and the desire to expand drive this science to far-reaching prospects using the discusses months and the most recent classification and forecasting algorithms such as…
Vishnu P. Murty, Sarah DuBrow, Lila Davachi
The ability for individuals to actively make decisions engages regions within the mesolimbic system and enhances memory for chosen items. In other behavioral contexts, mesolimbic engagement has been shown to enhance episodic memory by supporting consolidation. However, research has yet to investigate how consolidation…
Camilla Kao, Che-I Kao
Recently we proposed that mission statements incorporating the concept of reducing uncertainty could provide a framework for learning the bread and depth of information that exists about health and safety. We briefly explained the definition of uncertainty in the context of health and safety, with the unifying…
Neil D. Shortland, Presley McGarry, Lisa Thompson, Catherine Stevens + 1 more
'Laurence J. Alison'] Objective In this study, we extend the impact of mindfulness to the concept of least-worst decision-making. Least-worst decisions involve high-uncertainty and require the individual to choose between a number of potentially negative courses of action. Research is increasingly exploring least-worst…
Authors not listed
Climate change mitigation is driving growing innovation in bio-materials production technologies, with a focus on improving their environmental sustainability. This study presents a decision-support framework based on a careful integration of technical requirements, implemented in a process digital twin and life cycle…
Authors not listed
Mass spectrometry-based natural products targeted discovery often relies on a complicated decision-making process involving tedious comparison of exact masses data and tandem mass spectra-based annotation tools output against various spectral reference libraries. To address this bottleneck, we present tandem mass…
Camilla Kao, Russell Furr
Conveying safety information to researchers is challenging. A list of rules and best practices often is not remembered thoroughly even by individuals who want to remember everything. Researchers in science thinking according to principles: mathematical, physical, and chemical laws; biological paradigms. They use…
Yalin Li, John Trimmer, Steven Hand, Xinyi Zhang + 6 more
The pursuit of sustainability has catalyzed broad investment in the research, development, and deployment (RD&D) of innovative water, sanitation, and resource recovery technologies, yet the lack of transparent and agile methodologies to navigate the expansive landscape of technology development pathways remains a…
Camilla Kao, Russell Furr
Conveying safety information to researchers is challenging. A list of rules and best practices often is not remembered thoroughly even by individuals who want to remember everything. Researchers in science thinking according to principles: mathematical, physical, and chemical laws; biological paradigms. They use…
Camilla Kao, Russell Furr
Conveying safety information to researchers is challenging. A list of rules and best practices often is not remembered thoroughly even by individuals who want to remember everything. Researchers in science thinking according to principles: mathematical, physical, and chemical laws; biological paradigms. They use…
Authors not listed
This paper addresses the challenges in cell line development (CLD), the lengthy and ambiguous clone screening in upstream biopharmaceutical production. Typically, only a small subset of the later stages of CLD data is used for manually selecting lead clones. Addressing this issue, we introduce a multivariate data…