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Related papers: The Silver Lining Around Fearful Living

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Predicting panic is of critical importance in many areas of human and animal behavior, notably in the context of economics. The recent financial crisis is a case in point. Panic may be due to a specific external threat, or self-generated…

Statistical Finance · Quantitative Finance 2011-02-15 Dion Harmon , Marcus A. M. de Aguiar , David D. Chinellato , Dan Braha , Irving R. Epstein , Yaneer Bar-Yam

Not a day goes by without news about a cyber attack. Fear spreads out and lots of wrong ideas circulate. This survey aims at showing how all these uncertainties about cyber can be transformed into manageable risk. After reviewing the main…

Cryptography and Security · Computer Science 2023-03-24 Michel Dacorogna , Marie Kratz

Fuzzy cognitive mapping was used to understand the wants and desires of local people before resettlement. Variables that the affected people think will increase their welfare during and after dam construction were determined. Simulations…

Neurons and Cognition · Quantitative Biology 2007-05-23 Uygar Ozesmi

Wildfires significantly impact natural ecosystems and human health, leading to biodiversity loss, increased hydrogeological risks, and elevated emissions of toxic substances. Climate change exacerbates these effects, particularly in regions…

This paper proposes an explanation of the cognitive change that occurs as the creative process proceeds. During the initial, intuitive phase, each thought activates, and potentially retrieves information from, a large region containing many…

Neurons and Cognition · Quantitative Biology 2019-07-09 Liane Gabora

Traditional population models that include predator-prey interactions attribute demographic changes directly to predation-related effects. However, predator-induced fear in prey has increasingly been recognised as an important factor…

Populations and Evolution · Quantitative Biology 2026-05-12 Özgür Gültekin , Mirza Muradli

This paper summarizes efforts to computationally model two transitions in the evolution of human creativity: its origins about two million years ago, and the 'big bang' of creativity about 50,000 years ago. Using a computational model of…

Neural and Evolutionary Computing · Computer Science 2019-07-11 Liane Gabora , Steve DiPaola

Convolutional Neural Networks have been shown to be vulnerable to adversarial examples, which are known to locate in subspaces close to where normal data lies but are not naturally occurring and of low probability. In this work, we…

Computer Vision and Pattern Recognition · Computer Science 2020-08-27 Fu Lin , Rohit Mittapalli , Prithvijit Chattopadhyay , Daniel Bolya , Judy Hoffman

Online social networks create echo-chambers where people are infrequently exposed to opposing opinions. Even if such exposure occurs, the persuasive effect may be minimal or nonexistent. Recent studies have shown that exposure to opposing…

Social and Information Networks · Computer Science 2020-08-04 Qi Yang , Khizar Qureshi , Tauhid Zaman

The decisions of whether and how to evacuate during a climate disaster are influenced by a wide range of factors, including sociodemographics, emergency messaging, and social influence. Further complexity is introduced when multiple hazards…

Econometrics · Economics 2022-02-02 Elisa Borowski , Amanda Stathopoulos

Making learners robust to adversarial perturbation at test time (i.e., evasion attacks) or training time (i.e., poisoning attacks) has emerged as a challenging task. It is known that for some natural settings, sublinear perturbations in the…

Machine Learning · Computer Science 2018-11-07 Saeed Mahloujifar , Mohammad Mahmoody

Phishing is a form of cybercrime and a threat that allows criminals, phishers, to deceive end users in order to steal their confidential and sensitive information. Attackers usually attempt to manipulate the psychology and emotions of…

Cryptography and Security · Computer Science 2022-09-23 Mousa Jari

As stories of human-AI interactions continue to be highlighted in the news and research platforms, the challenges are becoming more pronounced, including potential risks of overreliance, cognitive offloading, social and emotional…

Human-Computer Interaction · Computer Science 2025-10-22 Celeste Riley , Omar Al-Refai , Yadira Colunga Reyes , Eman Hammad

Many practical environments contain catastrophic states that an optimal agent would visit infrequently or never. Even on toy problems, Deep Reinforcement Learning (DRL) agents tend to periodically revisit these states upon forgetting their…

Machine Learning · Computer Science 2018-03-15 Zachary C. Lipton , Kamyar Azizzadenesheli , Abhishek Kumar , Lihong Li , Jianfeng Gao , Li Deng

Homophily and heterophobia, the tendency for people with similar characteristics to preferentially interact with (or avoid) each other are pervasive in human social networks. Here, we develop an extension of the mathematical theory of urban…

Populations and Evolution · Quantitative Biology 2022-12-07 Andrew J. Stier , Sina Sajjadi , Luıs M. A. Bettencourt , Fariba Karimi , Marc G. Berman

The scientific claims drawn from LLM social simulations should be no stronger than the robustness audits that support them. Generative agents bring new expressive power to agent-based modeling, enabling simulations of collective social…

Physics and Society · Physics 2026-05-20 Jinyi Ye , Lei Cao , Ding Chen , Emilio Ferrara

In human factor fields such as human-computer interaction (HCI) and psychology, researchers have been concerned that participants mostly come from WEIRD (Western, Educated, Industrialized, Rich, and Democratic) countries. This WEIRD skew…

Cryptography and Security · Computer Science 2023-10-10 Ayako A. Hasegawa , Daisuke Inoue , Mitsuaki Akiyama

With limited resources, competition is widespread, yet cooperation persists across taxa, from microorganisms to large mammals. Recent observations reveal contingent factors often drive cooperative interactions, with the intensity…

Populations and Evolution · Quantitative Biology 2025-01-29 Suvranil Chowdhury , Susmita Sarkar , Joydev Chattopadhyay

Being able to objectively characterise the intrinsic complexity of behavioural patterns resulting from human or animal decisions is fundamental for deconvolving cognition and designing autonomous artificial intelligence systems. Yet…

Quantitative Methods · Quantitative Biology 2022-12-22 Hector Zenil , James A. R. Marshall , Jesper Tegnér

The use of algorithmic (learning-based) decision making in scenarios that affect human lives has motivated a number of recent studies to investigate such decision making systems for potential unfairness, such as discrimination against…

Machine Learning · Computer Science 2021-05-11 Junaid Ali , Muhammad Bilal Zafar , Adish Singla , Krishna P. Gummadi