Elementary Quantum Mechanical Principles and Social Science: Is There a Connection?

In this paper we provide first for a brief overview of some of the work which has been performed on the interface of quantum mechanics and macroscopic systems (such as economics). We then provide for an overview of how such quantum mechanical concepts can enter financial option pricing theory. We round off the paper with some suggestions on where this area of research can be heading in the near future.superposition; wave function; Black-Scholes option price; information function; probability amplitude; Schrödinger equation; Newton- Bohm trajectory; mean forward (backward) derivative

Graduate School: Course Decriptions, 1972-73

Official publication of Cornell University V.64 1972/7

Macalester College Bulletin

This publication is the Macalester College Bulletin, 1975-76 Supplement. Annual college catalog listing courses of study, historical sketch, calendar, honorary degrees, admission requirements, descriptions of departments, lists of faculty and board of trustee committees, summary of students, and lists of faculty and trustees

Humans, robots and values

The issue of machines replacing humans dates back to the dawn of industrialisation. In this paper we examine what is fundamental in the distinction between human and robotic work by reflecting on the work of the classical political economists and engineers. We examine the relationship between the ideas of machine work and human work on the part of Marx and Watt as well as their role in the creation of economic value. We examine the extent to which artificial power sources could feasibly substitute for human effort in their arguments. We go on to examine the differing views of Smith and Marx with respect to the economic effort contributed by animals and consider whether the philosophical distinction made between human and non-human work can be sustained in the light of modern biological research. We emphasise the non-universal character of animal work before going on to discuss the ideas of universal machines in Capek and Turing giving as a counter example a cloth-folding robot being developed in our School. We then return to Watt and discuss the development of thermodynamics and information theory. We show how recent research has led to a unification not only of these fields but also a unitary understanding of the labour process and the value-creation process. We look at the implications of general robotisation for profitability and the future of capitalism. For this we draw on the work of von Neumann not only on computers but also in economics to point to the {\em real} threat posed by robots

Mentoring, Educational Services, and Incentives to Learn: What Do We Know About Them?

This paper reviews recent studies on the effectiveness of services and incentives offered to disadvantaged youth. We focus our analysis on three types of interventions: mentoring, educational services, and financial rewards. The objective of this article is threefold. First, we explain alternative theoretical points of view in favor (or against – when applicable) each of these interventions. Then, we discuss how recent empirical work has affected that view, and we summarize the latest findings. We conclude with a discussion on what questions remain to be examined. Our hope is that this article will serve as a resource for those seeking to understand what educational interventions work and for whom, and to use as a starting point to illuminate the debate on where to go next.cognitive and non-cognitive skills, intrinsic and extrinsic motivation, at-risk youth, resilience, deviancy training, deterrence, primary- and high-school, post-secondary education, remedial programs, incentives on inputs and outputs

Reviewing the Challenges of Big Data Use in Smart Industries

Purpose: In recent years, data has been growing on a large scale, and the development of Internet applications, mobile applications, and network-connected sensors has also increased dramatically. These programs and extensive Internet communications continuously generate large volumes of data that are diverse and structurally different, called big data. Methodology: This article first reviews big data and defines its features, and then discusses the challenges it faces in the smart industry. Finally, using fuzzy hierarchical analysis, the most important challenges of using big data in smart industries have been prioritized. Findings: Due to the increasing volume of information transfer in the space of industrial generation, big data problem, import and storage of large volume of data information items and its management, preprocessing and post-processing, speed, accuracy and security of information are very important. It has gained a lot of attention and has attracted the attention of many researchers and experts in the field of information technology and active in the industry. Originality/Value: This article review the challenges of big data use in smart industries

The Importance of Quantum Information in the Stock Market and Financial Decision Making in Conditions of Radical Uncertainty

The Universe is a coin that’s already been flipped, heads or tails predetermined: all we’re doing is uncovering it the ‘paradox’ is only a conflict between reality and your feeling of what reality ‘ought to be’.Richard FeynmanThe aim of the research takes place through two parallel directions. The first is gaining an understanding of the applicability of quantum mechanics/quantum physics to human decision-making processes in the stock market with quantum information as a decision-making lever, and the second direction is neuroscience and artificial intelligence using postulates analogous to the postulates of quantum mechanics and radical uncertainty in conditions of radical uncertainty.The world of radical uncertainty (radical uncertainty is based on the knowledge of quantum mechanics from the claim that there is no causal certainty). it is everywhere in our world. "Radical uncertainty is characterized by vagueness, ignorance, indeterminacy, ambiguity and lack of information. He prefers to create 'mysteries' rather than 'puzzles' with defined solutions. Mysteries are ill-defined problems in which action is required, but the future is uncertain, the consequences unpredictable, and disagreement inevitable. "How should we make decisions in these circumstances?" (J. Kay and M. King, 2020), while "uncertainty and ambiguity are at the very core of the stock market. "Narratives are the currency of uncertainty" (N. Mangee, 2022)