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Decision Theory-Based COI-SNP Tagging Approach for 126 Scombriformes Species Tagging [PDF]
Frontiers in Genetics, 2019 The mitochondrial gene cytochrome c oxidase I (COI) is commonly used for DNA barcoding in animals. However, most of the COI barcode nucleotides are conserved and sequences longer than about 650 base pairs increase the computational burden for species ...
Cheng-Hong Yang +7 more
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Activity Stabilization in a Population Model of Working Memory by Sinusoidal and Noisy Inputs
Frontiers in Neural Circuits, 2021 According to mechanistic theories of working memory (WM), information is retained as stimulus-dependent persistent spiking activity of cortical neural networks.
Nikita Novikov +4 more
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Structural Decision Theory [PDF]
Philosophy of Science, 2021 Judging an act’s causal efficacy plays a crucial role in causal decision theory. A recent development appeals to the causal modeling framework with an emphasis on the analysis of intervention based on the causal Bayes net for clarifying what causally depends on our acts.
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Ninth and Tenth Parliament of Iran and Nuclear Diplomacy; With Emphasizing on JCPOA [PDF]
Faṣlnāmah-i Pizhūhish/hā-yi Rāhburdī-i Siyāsat, 2020 JCPOA is a milestone in the nuclear diplomacy of the Islamic Republic of Iran, which has played a major role in policymaking and implementing institutions and organizations in shaping it.
alireza Samiee Esfahani +1 more
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Nature Communications, 2021 Using a closed-loop virtual reality system for fish, the authors show that zebrafish are capable of assigning rules to the scenery they see, and of generating a state prediction error by comparing reality with a prediction derived from an internal model.
Makio Torigoe +8 more
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, 2020 Forensic scientists, lawyers and other participants of the legal process are routinely faced with problems of making decisions under circumstances of uncertainty. Uncertainty relates to propositions of interest that are not completely known by the decision-maker at the time when a decision needs to be made.
Taroni F, Bozza S, Biedermann A
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Constructive decision theory [PDF]
Journal of Economic Theory, 2013 In most contemporary approaches to decision making, a decision problem is described by a sets of states and set of outcomes, and a rich set of acts, which are functions from states to outcomes over which the decision maker (DM) has preferences. Most interesting decision problems, however, do not come with a state space and an outcome space.
Blume, Lawrence +2 more
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Pattern Formation and Tropical Geometry
Frontiers in Physics, 2020 Sandpile models exhibit fascinating pattern structures: patches, characterized by quadratic functions, and line-shaped patterns (also called solitons, webs, or linear defects).
Nikita Kalinin, Nikita Kalinin
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Sequential Decision-Making in Ants and Implications to the Evidence Accumulation Decision Model
Frontiers in Applied Mathematics and Statistics, 2021 Cooperative transport of large food loads by Paratrechina longicornis ants demands repeated decision-making. Inspired by the Evidence Accumulation (EA) model classically used to describe decision-making in the brain, we conducted a binary choice ...
Oran Ayalon +5 more
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Consistency of Decision in Finite and Numerable Multinomial Models
Mathematics, 2023 The multinomial distribution is often used in modeling categorical data because it describes the probability of a random observation being assigned to one of several mutually exclusive categories. Given a finite or numerable multinomial model M|n,p whose
Isaac Akoto, João T. Mexia
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