18 papers · ranked by Valyu relevance
Masanao Ozawa, Andrei Khrennikov
> ABSTRACT. The aim of this paper is to promote quantum logic as one of the basic tools for analyzing human reasoning. We compare it with classical (Boolean) logic and highlight the role of violation of the distributive law for conjunction and disjunction. It is well known that nondistributivity is equivalent to…
Timothy M Errington, Maya Mathur, Courtney K Soderberg, Alexandria Denis + 5 more
'Alexandria Denis' 'Nicole Perfito' 'Elizabeth Iorns' 'Brian A Nosek' 'Renata Pasqualini' 'Eduardo Franco'] Replicability is an important feature of scientific research, but aspects of contemporary research culture, such as an emphasis on novelty, can make replicability seem less important than it should be. The…
Raimund J. Krämer, Marco Koch, Julie Levacher, Florian Schmitz
The time on task (ToT) effect describes the relationship of the time spent on a cognitive task and the probability of successful task completion. The effect has been shown to vary in size and direction across tests and even within tests, depending on the test taker and item characteristics. Specifically, investing more…
Juntao Wang, Jonathan Lei, Anna Dreber, Michael S. Gordon + 3 more
'Magnus Johannesson' 'Thomas Pfeiffer' 'Yiling Chen'] The low replication rate of published studies has long concerned the social science community, making understanding the replicability a critical problem. Several studies have shown that relevant research communities can make predictions about the replicability of…
Denitsa Saynova, Kajsa Hansson, Bastiaan Bruinsma, Annika Fredén + 1 more
'Moa Johansson'] In this study, we investigate whether LLMs can be used to indicate if a study in the behavioural social sciences is replicable. Using a dataset of 14 previously replicated studies (9 successful, 5 unsuccessful), we evaluate the ability of both open-source (Llama 3 8B, Qwen 2 7B, Mistral 7B) and…
Stahel, Werner A.
Empirical science needs to be based on facts and claims that can be reproduced. This calls for replicating the studies that proclaim the claims, but practice in most fields still fails to implement this idea. When such studies emerged in the past decade, the results were generally disappointing. There have been an…
Joseph Lemaitre, Désirée Popelka, Blandine Ribotta, Hannah Westlake + 8 more
The ReproSci project retrospectively analyzed the conceptual replicability of 1006 claims from 400 papers published between 1959 and 2011 in the field of Drosophila immunity. This project attempts to provide a comprehensive assessment, 14 years later, of the replicability of nearly all publications across an entire…
Michał Sikorski, Mattia Andreoletti
Replicability is widely regarded as one of the defining features of science and its pursuit is one of the main postulates of meta-research, a discipline emerging in response to the replicability crisis. At the same time, replicability is typically treated with caution by philosophers of science. In this paper, we…
Erkan Buzbas, Berna Devezer
A core problem that has been addressed in the scientific reform movement so far is the low rates of reproducibility of research results. Mainstream reform literature aimed at increasing reproducibility rates by implementing changes in research practice and scientific policy. At the sidelines of reform, theoreticians…
Joseph Lemaitre, Désirée Popelka, Blandine Ribotta, Hannah Westlake + 8 more
The ReproSci project retrospectively analyzed the reproducibility of 1006 claims from 400 papers published between 1959 and 2011 in the field of Drosophila immunity. This project attempts to provide a comprehensive assessment, 14 years later, of the replicability of nearly all publications across an entire scientific…
Bonnie C. Wintle, Eden T. Smith, Martin Bush, Fallon Mody + 15 more
'David P. Wilkinson' 'Anca M. Hanea' 'Alexandru Marcoci' 'Hannah Fraser' 'Victoria Hemming' 'Felix Singleton Thorn' 'Marissa F. McBride' 'Elliot Gould' 'Andrew Head' 'Daniel G. Hamilton' 'Steven Kambouris' 'Libby Rumpff' 'Rink Hoekstra' 'Mark A. Burgman' 'Fiona Fidler'] This paper explores judgements about the…
Jennifer Murphy, Aaron R. Caldwell, Joe P. Warne
This review reflects on the lessons and limitations of the first large, collaborative replication project in sports and exercise science. We discuss the challenges and barriers faced, while also exploring the broader contribution of replication to the field. This project faced many practical challenges when preparing…
Weronika Łajewska, Damiano Spina, Johanne R. Trippas, Krisztian Balog
'Krisztian Balog'] The increasing reliance on digital information necessitates advancements in conversational search systems, particularly in terms of information transparency. While prior research in conversational information-seeking has concentrated on improving retrieval techniques, the challenge remains in…
Amit Kahana, Lior Segev, Doron Lancet
The origin of life must have involved an unlikely transition from chaotic chemistry to reproducing supramolecular structures. Previous quantitative analyses of reproducing mutually catalytic networks made of simple molecules have led to increasing popularity of this pre-RNA scenario for life’s origin. Here, we…
Sven Wientjes, Clay B. Holroyd
Humans have the ability to craft abstract, temporally extended and hierarchically organized plans. For instance, when considering how to make spaghetti for dinner, we typically concern ourselves with useful “subgoals” in the task, such as cutting onions, boiling pasta, and cooking a sauce, rather than particulars such…
Sarah Esser, Hilde Haider, Clarissa Lustig, Takumi Tanaka + 1 more
'Kanji Tanaka'] The ability to anticipate the sensory consequences of our actions (i.e., action-effects) is known to be important for intentional action initiation and control. Learned action-effects can select the responses that previously have been associated with them. What has been largely unexplored is how learned…
Dingbang Wang, Yu Zhao, Sidong Feng, Zhaoxu Zhang + 5 more
'William G. J. Halfond' 'Chunyang Chen' 'Xiaoxia Sun' 'Jiangfan Shi' 'Tingting Yu'] In software development, bug report reproduction is a challenging task. This paper introduces ReBL, a novel feedback-driven approach that leverages GPT-4, a large-scale language model (LLM), to automatically reproduce Android bug…
Authors not listed
Ensuring the trustworthiness of machine learning (ML) models in high-stake applications is crucial. One such application is predicting anti-cancer drug sensitivity, where ML models are built with the final goal of integrating them into treatment recommendation systems for personalized medicine. Here, we propose a…