Seeing the World Through Ramist Eyes: The Richardsonian Ramism of Thomas Hooker and Samuel Stone

Using as examples the writings of Thomas Hooker and Samuel Stone, founding ministers of the First Church of Hartford, Connecticut, this article shows how influential thinkers in early seventeenth-century England and New England saw the world around them through the filters of the Ramist philosophy of Alexander Richardson. It argues that Richardsonian Ramism produced theology and preaching that was less “biblical” and more “Calvinist” than has been conventionally thought

The Impact of Resilience and Grit on Inductive and Deductive Reasoning Following Exposure to Combat-Like Environments

Cognitive processes have been shown to be severely affected by exposure to combat and war. While the negative impact of war on cognitive performance is apparent through numerous soldier narratives, the scientific investigation of this phenomenon is limited. Furthermore, the moderating influence of an individual’s resilience and grit on cognitive functions following combat environments is unknown. Understanding this interaction is essential in further understanding individual cognitive performance. Because the psychological wounds inflicted by combat situations affect individuals’ mental health, studying how such environments influence cognitive processes and performance can improve the training of our soldiers. This dissertation focuses on assessing how combat-like environments influence an individual’s ability to effectively and efficiently reason, and further examines whether an individual’s grit and resilience affect deductive and inductive reasoning in stressful environments. Participants were recruited from a private US military academy. The study used a pretest-posttest mixed design to investigate possible cognitive decrements in individuals’ ability to reason following exposure to war-like environments simulated by immersive and non-immersive technologies. Dependent measures included both inductive and deductive reasoning (as measured by The Letter Sets Test and Overton’s (1990) version of the Wason Selection Task, respectively) by placing participants into the immersive or non-immersive conditions. Self-reported resilience and grit were tested for interaction effects to examine how an individual’s resilience and grit influences an individual’s ability to reason in war-like environments. These findings might give a richer understanding of the ways in which cognitive mechanisms are affected by stressful environments like combat

Methods in Psychological Research

Psychologists collect empirical data with various methods for different reasons. These diverse methods have their strengths as well as weaknesses. Nonetheless, it is possible to rank them in terms of different critieria. For example, the experimental method is used to obtain the least ambiguous conclusion. Hence, it is the best suited to corroborate conceptual, explanatory hypotheses. The interview method, on the other hand, gives the research participants a kind of emphatic experience that may be important to them. It is for the reason the best method to use in a clinical setting. All non-experimental methods owe their origin to the interview method. Quasi-experiments are suited for answering practical questions when ecological validity is importa

Monitoring Cognitive and Emotional Processes Through Pupil and Cardiac Response During Dynamic Versus Logical Task

The paper deals with the links between physiological measurements and cognitive and emotional functioning. As long as the operator is a key agent in charge of complex systems, the definition of metrics able to predict his performance is a great challenge. The measurement of the physiological state is a very promising way but a very acute comprehension is required; in particular few studies compare autonomous nervous system reactivity according to specific cognitive processes during task performance and task related psychological stress is often ignored. We compared physiological parameters recorded on 24 healthy subjects facing two neuropsychological tasks: a dynamic task that require problem solving in a world that continually evolves over time and a logical task representative of cognitive processes performed by operators facing everyday problem solving. Results showed that the mean pupil diameter change was higher during the dynamic task; conversely, the heart rate was more elevated during the logical task. Finally, the systolic blood pressure seemed to be strongly sensitive to psychological stress. A better taking into account of the precise influence of a given cognitive activity and both workload and related task-induced psychological stress during task performance is a promising way to better monitor operators in complex working situations to detect mental overload or pejorative stress factor of error

Positive and negative emotion induction through avatars and its impact on reasoning performance: cardiovascular and pupillary correlates

International audienceMany studies have shown the impact of emotion on cognition (Damasio, 1994), however these influences remain ambiguous. The contradictions may be explained by a lack of experimental control (emotional induction, objective clues on emotional states...) but also by the existence of complex cross-influences between the dorsolateral prefrontal cortex, a major substratum of executive functions (EFs) and the ventromedial prefrontal cortex, an area strongly connected to the limbic system. This work aimed at gaining a more precise view of the links between emotion and EFs, utilizing an experimental protocol that used avatars for a well-controlled emotional induction, measurements of the autonomic nervous system activity as evidence of the emotional state (cardiovascular and pupillary responses) and a neuropsychological test battery (dynamic reasoning and deductive reasoning tasks) for the detection of EFs variations in response to emotion. The experimental data showed that positive emotion (joy) led to a performance decrease during both tasks, together with physiological variations. These counterintuitive results showed that positive mood can impair executive functioning in our tasks. In addition, our results highlighted the lack of learning effects on deductive performance

Development of fuzzy syllogistic algorithms and applications distributed reasoning approaches

Thesis (Master)--Izmir Institute of Technology, Computer Engineering, Izmir, 2010Includes bibliographical references (leaves: 44-45)Text in English; Abstract: Turkish and Englishx, 65 leavesA syllogism, also known as a rule of inference or logical appeals, is a formal logical scheme used to draw a conclusion from a set of premises. It is a form of deductive reasoning that conclusion inferred from the stated premises. The syllogistic system consists of systematically combined premises and conclusions to so called figures and moods. The syllogistic system is a theory for reasoning, developed by Aristotle, who is known as one of the most important contributors of the western thought and logic. Since Aristotle, philosophers and sociologists have successfully modelled human thought and reasoning with syllogistic structures. However, a major lack was that the mathematical properties of the whole syllogistic system could not be fully revealed by now. To be able to calculate any syllogistic property exactly, by using a single algorithm, could indeed facilitate modelling possibly any sort of consistent, inconsistent or approximate human reasoning. In this work generic fuzzifications of sample invalid syllogisms and formal proofs of their validity with set theoretic representations are presented. Furthermore, the study discuss the mapping of sample real-world statements onto those syllogisms and some relevant statistics about the results gained from the algorithm applied onto syllogisms. By using this syllogistic framework, it can be used in various fields that can uses syllogisms as inference mechanisms such as semantic web, object oriented programming and data mining reasoning processes

Fuzzy Natural Logic in IFSA-EUSFLAT 2021

The present book contains five papers accepted and published in the Special Issue, “Fuzzy Natural Logic in IFSA-EUSFLAT 2021”, of the journal Mathematics (MDPI). These papers are extended versions of the contributions presented in the conference “The 19th World Congress of the International Fuzzy Systems Association and the 12th Conference of the European Society for Fuzzy Logic and Technology jointly with the AGOP, IJCRS, and FQAS conferences”, which took place in Bratislava (Slovakia) from September 19 to September 24, 2021. Fuzzy Natural Logic (FNL) is a system of mathematical fuzzy logic theories that enables us to model natural language terms and rules while accounting for their inherent vagueness and allows us to reason and argue using the tools developed in them. FNL includes, among others, the theory of evaluative linguistic expressions (e.g., small, very large, etc.), the theory of fuzzy and intermediate quantifiers (e.g., most, few, many, etc.), and the theory of fuzzy/linguistic IF–THEN rules and logical inference. The papers in this Special Issue use the various aspects and concepts of FNL mentioned above and apply them to a wide range of problems both theoretically and practically oriented. This book will be of interest for researchers working in the areas of fuzzy logic, applied linguistics, generalized quantifiers, and their applications

Systematic Unfoldment of Differential Ontology from Qualitative Concept of Information

A certain philosophical ontology is presented as developed from a qualitative concept of information, leading to conclusive points of possible far-reaching relevance for philosophy and science