The "intentional stance" is the disposition to treat an entity as a rational agent, possessing particular beliefs, desires, and intentions, in order to interpret and predict it's behavior. The intentional stance is a component of a broader social cognitive function, mentalizing. Here we report a study that investigates the neural substrates of "on-line" mentalizing, using PET, by asking volunteers to second-guess an opponent. In order to identify brain activity specifically associated with adoption of an intentional stance, we used a paradigm that allowed tight control of other cognitive demands. Volunteers played a computerised version of the children's game "stone, paper, scissors." In the mentalizing condition volunteers believed they were playing against the experimenter. In the comparison condition, volunteers believed they were playing against a computer. In fact, during the actual scanning, the "opponent" produced a random sequence in both conditions. The only difference was the attitude, or stance, adopted by the volunteer. Only one region was more active when volunteers adopted the intentional stance. This was in anterior paracingulate cortex (bilaterally). This region has been activated in a number of previous studies involving mentalizing. However, this is the first study suggesting a specific link between activity in this brain region and the adoption of an intentional stance.
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http://dx.doi.org/10.1006/nimg.2002.1117 | DOI Listing |
Front Med (Lausanne)
December 2024
Centre for Professionalism in Medicine and Health Sciences, Faculty of Medicine and Health Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
Contemporary health professions education has long delineated the desired attributes of medical professionalism in the form of standard curricula and their role in forming professional behaviors (PBs) among aspiring doctors. However, existing research has shown the contradictory and powerful role of hidden curriculum (HC) in negatively influencing medical students' PBs through unspoken or implicit academic, cultural, or social standards and practices. These contrasting messages of formal curricula and HC lead to discordance and incongruence in future healthcare professionals developing professional identity formation.
View Article and Find Full Text PDFVet J
December 2024
Norwegian Meat and Poultry Research Centre, Animalia AS, Postboks 396 Økern, Oslo 0513, Norway.
Congenital tremor (CT) caused by atypical porcine pestivirus (APPV) is a widespread disease in the swine industry. It is characterized by tremors in newborn piglets, but tremor description and association to other clinical signs are not well documented. This study's objectives were to characterize general and neurological clinical signs of APPV-induced CT and describe the progression and associations between the different signs.
View Article and Find Full Text PDFNeural Netw
November 2024
College of Big Data and Internet, Shenzhen Technology University, Shenzhen, China; Guangdong Key Laboratory for Intelligent Computation of Public Service Supply, China. Electronic address:
Social media platforms, rich in user-generated content, offer a unique perspective on public opinion, making stance detection an essential task in opinion mining. However, traditional deep neural networks for stance detection often suffer from limitations, including the requirement for large amounts of labeled data, uninterpretability of prediction results, and difficulty in incorporating human intentions and domain knowledge. This paper introduces the First-Order Logic Aggregated Reasoning framework (FOLAR), an innovative approach that integrates first-order logic (FOL) with large language models (LLMs) to enhance the interpretability and efficacy of stance detection.
View Article and Find Full Text PDFAbstractPregnant research participants have long been excluded from early-stage clinical trials. This stance has been considered ethically justifiable because it upholds the principle of nonmaleficence by avoiding potential harm, using the fetus(es) as the point of reference. However, there are unintended consequences with this default approach.
View Article and Find Full Text PDFBrain Sci
October 2024
College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China.
Background: With the rapid expansion of the generative AI market, conducting in-depth research on cognitive conflicts in human-computer interaction is crucial for optimizing user experience and improving the quality of interactions with AI systems. However, existing studies insufficiently explore the role of user cognitive conflicts and the explanation of stance attribution in the design of human-computer interactions.
Methods: This research, grounded in mental models theory and employing an improved version of the oddball paradigm, utilizes Event-Related Spectral Perturbations (ERSP) and functional connectivity analysis to reveal how task types and stance attribution explanations in generative AI influence users' unconscious cognitive processing mechanisms during service failures.
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