Article
Psychology, Experimental
Constantinos Hadjichristidis, Janet Geipel, Kishore Gopalakrishna Pillai
Summary: Previous research has shown that probability judgments are influenced by whether examples are mentioned in a description, with descriptions including diverse examples receiving higher probability judgments than those including similar examples. Possible mechanisms for this diversity effect include the more comprehensive representations prompted by diverse examples, as well as the influences of representativeness or proximity heuristics.
THINKING & REASONING
(2022)
Article
Psychology, Multidisciplinary
Fallon Branch, Jay Hegde
Summary: The causes of errors in probabilistic judgement vary depending on the specific problem scenario, and no single factor can fully explain these errors. In four real-world problem scenarios, various potential explanatory variables accounted for 30% to 45% of the overall variance, but no single factor accounted for more than 53% of the explainable variance. Further analysis revealed that no single factor significantly contributed more than its 'fair share' of the variance.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Psychology, Multidisciplinary
Piers Douglas Lionel Howe, Andrew Perfors, Bradley Walker, Yoshihisa Kashima, Nicolas Fay
Summary: Bayesian statistics provides a normative description of how individuals should adjust their beliefs based on new evidence. Previous research shows that people tend to underestimate priors and likelihood, but this varies by individual and situation. By studying full distributions, researchers found significant variations in base rate neglect and conservatism among individuals.
JUDGMENT AND DECISION MAKING
(2022)
Article
Psychology, Social
Qingzhou Sun, Jingyi Lu, Huanren Zhang, Yongfang Liu
Summary: Increasing social distance can reduce biases in probability weighting, with a stronger effect in the gain domain. This reduction is accompanied by a decrease in emotional intensity and an increase in attention to probability.
PERSONALITY AND SOCIAL PSYCHOLOGY BULLETIN
(2021)
Article
Law
Jacqueline Katzman, Margaret Bull Kovera
Summary: Eyewitness misidentifications are the leading cause of wrongful convictions, and conducting identification procedures in the absence of evidence puts innocent suspects at risk of misidentification. Police officers showed sensitivity to variations in evidentiary connection, but still exhibited base-rate neglect in their decisions about placing suspects in lineups.
LAW AND HUMAN BEHAVIOR
(2022)
Article
Psychology, Multidisciplinary
Tobias Vogel, Moritz Ingendahl, Linda McCaughey
Summary: Humans can learn contingencies when cues and outcomes are learned on different occasions. This study suggests that people rely on the alignment of base rates to infer contingencies in different contexts. These findings support the pseudocontingency framework but challenge previous conceptions.
JUDGMENT AND DECISION MAKING
(2022)
Article
Computer Science, Artificial Intelligence
Hirbod Assa, Alexander Zimper
Summary: This study examines arbitrary subsets of random variables defined on non-additive probability spaces and preference relations that are continuous with respect to specific topologies. For non-atomic v, it is proven that convex preference relations over random variables in a given local cone must satisfy monotonicity, leading to strong implications in decision theory.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
(2021)
Article
Engineering, Electrical & Electronic
Mavilla Charishma, Athira Subhash, Shashank Shekhar, Sheetal Kalyani
Summary: In this study, the outage probability (OP) at the destination of an intelligent reflecting surface (IRS) assisted communication system in a kappa - mu fading environment is investigated. Different approximations for the OP are derived using techniques such as uni-variate dimension reduction, moment matching, and Kullback-Leibler (KL) divergence minimization. These approximations are shown to be accurate and computationally efficient. The impact of factors such as phase quantization error, number of quantization bits, and position of IRS on the OP is also analyzed.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Hyeong-Woo Ham, Joon-Ho Lee
Summary: This paper analyzes the performance of the amplitude-comparison monopulse (ACM) algorithm under the influence of correlated noise. The angle estimation performance is studied by deriving the probability density function (PDF) and calculating the root mean square error (RMSE). The results show that the error decreases as the correlation coefficient between the received noise variables increases.
Proceedings Paper
Computer Science, Theory & Methods
Ke Wu, Aaron B. Wagner
Summary: In this paper, we present a practical implementation of the rubber method by Ahlswede et al. for binary channels, creating a skeleton sequence using an arithmetic decoder designed for a specific k-th order Markov chain. We demonstrate that the scheme is nearly optimal for certain parameters in the stochastic binary symmetric channel, and we also show a strict enlargement of achievable rates with feedback for this channel beyond the sphere-packing bound.
2021 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT)
(2021)
Article
Engineering, Electrical & Electronic
Peng Wang, Yonghui Li, Zihuai Lin, Mahyar Shirvanimoghaddam, Ok-Sun Park, Giyoon Park, Branka Vucetic
Summary: In this paper, the maximum likelihood (ML) decoding performance of the RMA scheme in an AWGN channel with BPSK modulation is investigated. For the first time, the ensemble weight distribution of the RMA scheme is derived. An upper bound on the decoding error performance of the RMA scheme under ML decoding in an AWGN channel with BPSK modulation is also derived. The continuous genetic algorithm is then used to optimize the parameters of the RMA scheme, with simulation results showing the tightness of the derived bound and the superiority of the optimized degree distribution.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Juan A. Clemente, Mohammadreza Rezaei, Francisco J. Franco
Summary: This article studies the reliability of state-of-the-art ECC techniques designed for memories to maintain data integrity under radiation or hazardous conditions. Easy-to-use equations are provided to estimate the probability of error occurrence in a memory implementing different ECCs.
IEEE TRANSACTIONS ON NUCLEAR SCIENCE
(2022)
Article
Engineering, Electrical & Electronic
C. P. Najlah, S. M. Sameer
Summary: The paper introduces a new NOMA scheme for uplink HetNet using oblique projection under perfect and imperfect CSIR. This scheme does not require power control or user clustering techniques, reducing computational complexity and signaling overhead significantly compared to existing NOMA schemes. Simulation results show the proposed scheme accurately describes the performance and outperforms a prevailing SIC based NOMA scheme.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Yao Zhu, Yulin Hu, Tianyu Yang, Tao Yang, Jannik Vogt, Anke Schmeink
Summary: This paper investigates a multi-access edge computing network with multiple servers using finite blocklength codes for wireless data transmission/offloading. We analyze the reliability of the transmission phase in the finite blocklength regime and study extreme events of queue length violation in the computation phase using extreme value theory. By optimizing server selection and time allocation to minimize overall error probability, and proposing a deep reinforcement learning based design for cases with outdated CSI, we demonstrate performance advantages over benchmark solutions for perfect and outdated CSI through simulations.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Automation & Control Systems
Dongyang Fu, Haoen Huang, Lin Wei, Xiuchun Xiao, Long Jin, Shan Liao, Jialiang Fan, Zhengtai Xie
Summary: The article introduces a novel modified Newton integration (MNI) algorithm to address the performance issues caused by noise components in systems, compared to the conventional Newton-Raphson algorithm. The MNI algorithm demonstrates smaller steady-state error and noise-tolerance ability. Theoretical analyses and computer simulations confirm the feasibility and advantages of the proposed MNI algorithm in various noisy environments.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
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