Prediction and Situational Option Generation in Soccer

Paul Ward, Michigan Technological University Naturalistic models of decision making, such as the Recognition- Primed Decision (RPD) model (e.g., Klein, Calderwood, & Clinton-Cirocco, 1986; Klein, 1997), suggest that as individuals become more experienced within a domain they automatically recognize situational patterns as familiar which, in turn, activates an associated situational response. Typically, this results in a workable course of action being generated first, and subsequent options generated only if the initial option proves ineffective

Warren McCulloch and the British cyberneticians

Warren McCulloch was a significant influence on a number of British cyberneticians, as some British pioneers in this area were on him. He interacted regularly with most of the main figures on the British cybernetics scene, forming close friendships and collaborations with several, as well as mentoring others. Many of these interactions stemmed from a 1949 visit to London during which he gave the opening talk at the inaugural meeting of the Ratio Club, a gathering of brilliant, mainly young, British scientists working in areas related to cybernetics. This paper traces some of these relationships and interaction

Bobby Fischer in Socio-Cultural Perspective: Application of Hiller’s (2011) Multi-Layered Chronological Chart Methodology

This article presents a case study application of Hiller’s (2011) Multi - Layered Chronological Chart (MLCC) methodology to the life story of former World Chess Champion Bobby Fischer. Designed for use in qualitative biographical studies, the MLCC is adapted here for psychobiographical research. In 1972, Fischer became an American Cold War hero as he wrestled the World Chess Championship from a half century of Soviet domination. His rapid rise to world fame was followed by infamy as Fischer abandoned competitive chess, grew increasingly Anti - Semitic and Anti - American, became a fugitive from U.S. justice, and died in relative isolation in Reykjavik, Iceland. Fischer remains one of the more enigmatic personalities of the 20th century and many questions remain regarding his psychological health. The MLCC method is used to contextualize Fischer’s life in nine key topical domains across five developmental life stages. The value of the MLCC methodology to psychobiographical research is highlighted and suggestions for advancing this methodology are put forth

Testosterone and aggressiveness.

Aggressiveness is an ancestral behavior common to all animal species. Its neurophysiological mechanisms are similar in all vertebrates. Males are generally more aggressive than females. In this review, aggressive behavior in rodents, monkeys, and man and the role of testosterone and brain serotonin levels have been considered. Interspecifi c aggressiveness in rats has been studied considering the mouse-killing behavior; the neonatal androgenization of females increases adult mousekilling as does the administration of testosterone in adults. Intraspecifi c aggressiveness was studied by putting two or more male rats (or mice) in the same cage; the condition of subjection or dominance is infl uenced by testosterone. In monkeys, testosterone is related to aggressiveness and dominance and, during the mating season, increases in testosterone levels and aggressive attitude are observed. In men, higher testosterone levels were obtained in perpetrators of violent crimes, in men from the army with antisocial behaviors, in subjects with impulsive behaviors, alcoholics and suicidals, in athletes using steroids, and during competitions. Aggressive and dominant behavior are distinguished. Testosterone infl uences both of these, even if man is usually inclined to affi rm his power without causing physical damage. Testosterone receptors are mainly in some hypothalamic neurons, where it is aromatized into estrogens, which determine the increase in aggressiveness. A relation between testosterone levels and diencephalic serotonin has been shown: in fact, the lack of serotonin increases aggressive behaviors both in animals and man. Testosterone also increases ADH levels in the medial amygdala, lateral hypothalamus, and preoptical medial area, involved in aggressive behaviors

The emergence of choice: Decision-making and strategic thinking through analogies

Consider the chess game: When faced with a complex scenario, how does understanding arise in one’s mind? How does one integrate disparate cues into a global, meaningful whole? how do humans avoid the combinatorial explosion? How are abstract ideas represented? The purpose of this paper is to propose a new computational model of human chess intuition and intelligence. We suggest that analogies and abstract roles are crucial to solving these landmark problems. We present a proof-of-concept model, in the form of a computational architecture, which may be able to account for many crucial aspects of human intuition, such as (i) concentration of attention to relevant aspects, (ii) \ud how humans may avoid the combinatorial explosion, (iii) perception of similarity at a strategic level, and (iv) a state of meaningful anticipation over how a global scenario \ud may evolve

Federated Large Language Model: A Position Paper

Large scale language models (LLM) have received significant attention and found diverse applications across various domains, but their development encounters challenges in real-world scenarios. These challenges arise due to the scarcity of public domain data availability and the need to maintain privacy with respect to private domain data. To address these issues, federated learning (FL) has emerged as a promising technology that enables collaborative training of shared models while preserving decentralized data. We propose the concept of federated LLM, which comprises three key components, i.e., federated LLM pre-training, federated LLM fine-tuning, and federated LLM prompt engineering. For each component, we discuss its advantage over traditional LLM training methods and propose specific engineering strategies for implementation. Furthermore, we explore the novel challenges introduced by the integration of FL and LLM. We analyze existing solutions and identify potential obstacles faced by these solutions within the context of federated LLM.Comment: 11 pages, 4 figure

Healthcare Digitalisation and the Changing Nature of Work and Society

Digital technologies have profound effects on all areas of modern life, including the workplace. Certain forms of digitalisation entail simply exchanging digital files for paper, while more complex instances involve machines performing a wide variety of tasks on behalf of humans. While some are wary of the displacement of humans that occurs when, for example, robots perform tasks previously performed by humans, others argue that robots only perform the tasks that robots should have carried out in the very first place and never by humans. Understanding the impacts of digitalisation in the workplace requires an understanding of the effects of digital technology on the tasks we perform, and these effects are often not foreseeable. In this article, the changing nature of work in the health care sector is used as a case to analyse such change and its implications on three levels: the societal (macro), organisational (meso), and individual level (micro). Analysing these transformations by using a layered approach is helpful for understanding the actual magnitude of the changes that are occurring and creates the foundation for an informed regulatory and societal response. We argue that, while artificial intelligence, big data, and robotics are revolutionary technologies, most of the changes we see involve technological substitution and not infrastructural change. Even though this undermines the assumption that these new technologies constitute a fourth industrial revolution, their effects on the micro and meso level still require both political awareness and proportional regulatory responses.publishedVersio