Dalla matematizzazione dell'economia neoclassica alla fisica quantistica nei processi cognitivi. Certezze e crisi dell?idea di razionalit�: dall?homo oeconomicus ai modelli quantistici della mente
The origin of the idea of rationality as a fundamental model of human behaviour (the concept of homo oeconomicus) that was introduced during the neoclassical revolution in economics and that implied the mathematization of economics thereby adopting the mathematical scheme of and borrowing some fundamental conception from classical mechanics, as well as the crisis of this rationality model that followed in the latest decades are here discussed. The origin of the least action principle in 18th century is first described. The least action principle was the basis that lead to the development of Lagrangean dynamics in classical mechanics that, on its turn, entered economics in 19th century as a fundamental method to describe the behaviour of a postulated rational agent and was the basis for the development of mainstream economics in 20th century. The epistemologically unjustified transfer of concepts from mechanics, in particular in Walras? work, is stressed. In the second half of 20th century experimental psychology slowly entered economics and several paradoxes in the real agents? choices were shown giving strong evidence of rationality?s axioms violation in the real behaviour of people. By mid-20th century, quantum mechanics had already developed a highly effective mathematical apparatus to describe the wave-particle behaviour of quantum objects and in particular the phenomenon of probability interference that is clearly shown in the double-slit experiment with single electrons, as well as with photons. Probability interference is peculiar to quantum mechanics and is extraneous to the Kolmogorov axiomatic theory of classical probability. The recent idea of applying the quantum mechanics concepts and formalism, including quantum probability interference and superposition of states, to the description of mental processes is discussed. The aim of this new field of research, which is developing along the lines of the centuries-old question of the mind-body relation, is to create a general framework where cognition might be modeled. Quantum cognition is therefore introduced as a possible answer to the rationality violation paradoxes shown by experiments on ambiguous figures recognition and on the effects brought about by conjunction and disjunction of concepts.
The origin of the idea of rationality as a fundamental model of human behaviour (the concept of homo oeconomicus) that was introduced during the neoclassical revolution in economics and that implied the mathematization of economics thereby adopting the mathematical scheme of and borrowing some fundamental conception from classical mechanics, as well as the crisis of this rationality model that followed in the latest decades are here discussed. The origin of the least action principle in 18th century is first described. The least action principle was the basis that lead to the development of Lagrangean dynamics in classical mechanics that, on its turn, entered economics in 19th century as a fundamental method to describe the behaviour of a postulated rational agent and was the basis for the development of mainstream economics in 20th century. The epistemologically unjustified transfer of concepts from mechanics, in particular in Walras? work, is stressed. In the second half of 20th century experimental psychology slowly entered economics and several paradoxes in the real agents? choices were shown giving strong evidence of rationality?s axioms violation in the real behaviour of people. By mid-20th century, quantum mechanics had already developed a highly effective mathematical apparatus to describe the wave-particle behaviour of quantum objects and in particular the phenomenon of probability interference that is clearly shown in the double-slit experiment with single electrons, as well as with photons. Probability interference is peculiar to quantum mechanics and is extraneous to the Kolmogorov axiomatic theory of classical probability. The recent idea of applying the quantum mechanics concepts and formalism, including quantum probability interference and superposition of states, to the description of mental processes is discussed. The aim of this new field of research, which is developing along the lines of the centuries-old question of the mind-body relation, is to create a general framework where cognition might be modeled. Quantum cognition is therefore introduced as a possible answer to the rationality violation paradoxes shown by experiments on ambiguous figures recognition and on the effects brought about by conjunction and disjunction of concepts.
In physics, at the beginning of the twentieth century it was recognized that some experiments could not be explained by the conventional classical mechanics, but the same could be explained by the newly discovered quantum theory. It resulted in a new mechanics called quantum mechanics that revolutionized scientific and technological developments. Again, at the beginning of the twenty-first century, it is being recognized that some experiments related to the human decision-making processes could not be explained by the conventional classical decision theory but the same could be explained by the models based on quantum mechanics. It is now recognized that we need quantum mechanics in psychology as well as in economics and finance. In this paper we attempt to advance and explain the present understanding of applicability of quantum mechanics to the human decision-making processes. Using the postulates analogous to the postulates of quantum mechanics, we show the derivation of the quantum interference equation to illustrate the quantum approach. The explanation of disjunction effect experiments of Tversky and Shafir (Tversky A, Shafir E (1992) The disjunction effect in choice under uncertainty. Psych. Sci. 3(5):305–309) has been chosen to demonstrate the necessity of a quantum model. Further, to suggest the possibility of application of the quantum theory to the business-related decisions, some terms such as price operator, state of mind of the acquiring firm, etc., are introduced and discussed in context of the merger/acquisition of business firms. The possibility of the development in areas such as quantum finance, quantum management, application of quantum mechanics to the human dynamics related to healthcare management, etc., is also indicated.
This paper describes an approach to economics that is inspired by quantum computing, and is motivated by the need to develop a consistent quantum mathematical framework for economics. The traditional neoclassical approach assumes that rational utility-optimisers drive market prices to a stable equilibrium, subject to external perturbations or market failures. While this approach has been highly influential, it has come under increasing criticism following the financial crisis of 2007/8. The quantum approach, in contrast, is inherently probabilistic and dynamic. Decision-makers are described, not by a utility function, but by a propensity function which specifies the probability of transacting. We show how a number of cognitive phenomena such as preference reversal and the disjunction effect can be modelled by using a simple quantum circuit to generate an appropriate propensity function. Conversely, a general propensity function can be quantized,viaan entropic force, to incorporate effects such as interference and entanglement that characterise human decision-making. Applications to some common problems and topics in economics and finance, including the use of quantum artificial intelligence, are discussed.
At the beginning of the XX-th century, after a glorious history of about two centuries, the Newton’s classical physics enters into a great conceptual crisis, marked by the famous findings, which have subsequently represented the fundamentals of the quantum theory. They have thrown out the visions of the classical physics on the main laws of Universe development, the role of the human being and of knowledge in its functioning. Therefore, the quantum theory, confusing the traditional picture of its origin and evolution, gave birth to multiple conceptual issues related not only to physics, but disposing of obvious philosophical, ontological, cognitive and, more recently, economic aspects...
Classical models of decision-making under uncertainty, grounded in expected utility theory and Bayesian probability, often fail to account for systematic cognitive anomalies such as preference reversals, order effects, ambiguity aversion, and context-dependent choices. Quantum cognition models offer a novel theoretical framework that applies the mathematical principles of quantum probability—such as superposition, interference, and non-commutativity—to cognitive processes without assuming physical quantum mechanisms in the brain. By representing cognitive states as probabilistic superpositions that collapse through decision “measurements,” these models provide parsimonious explanations for violations of classical rationality. This paper examines how quantum cognition frameworks capture contextual influence, belief updating, and interference effects in uncertain decision environments. Drawing on findings from cognitive psychology and behavioral economics, the study highlights the relevance of quantum cognition for applications in economic choice modeling, legal decision analysis, and artificial intelligence. The analysis suggests that quantum probability offers a robust alternative to classical approaches when modeling human decision-making in complex, ambiguous, and context-sensitive situations.
Approaching physics as the way to predict the results of experiments is good enough for physics as it is. However the transition of its notions and mathematical apparatus to systems of different nature requires obligatory in-depth analysis of its initial concepts. Econophysics is a young interdisciplinary scientific field, which developed and acquired its name at the end of the last century. Quantum econophysics, a direction distinguished by the use of mathematical apparatus of quantum mechanics as well as its fundamental conceptual ideas and relativistic aspects, developed within its boundaries just a couple of years later, in the first decade of the 21-st century. In this paper from quantum econophysics positions, attained by moderntheoretical physics in understanding of the universe bases, the methodological and philosophicalanalysis of fundamental physical concepts and their formal and informal connections with thereal economic measurings is carried out. The possibility of introducing economic equivalents ofphysical quantities in order to describe socio-economic processes using the quantum uncertaintyprinciple is shown. Procedures for heterogeneous economic time determination, normalizedeconomic coordinates and economic mass are offered, based on the analysis of time series, theconcept of economic Plank's constant is proposed. A theory is approved on the real economicdynamic's time series, including crises stock market indices. It is shown that the effective mass ofthe time series universally decreases before the crisis period, which may be an indicator of thecrisis phenomena.
This paper begins with a historical review of the mutual influence of physics and psychology, from Freud's invention of psychic energy inspired by von Boltzmann' thermodynamics to the enrichment quantum physics gained from the side of psychology by the notion of complementarity (the invention of Niels Bohr who was inspired by William James), besides we consider the resonance of the correspondence between Wolfgang Pauli and Carl Jung in both physics and psychology. Then we turn to the problem of development of mathematical models for laws of thought starting with Boolean logic and progressing towards foundations of classical probability theory. Interestingly, the laws of classical logic and probability are routinely violated not only by quantum statistical phenomena but by cognitive phenomena as well. This is yet another common feature between quantum physics and psychology. In particular, cognitive data can exhibit a kind of the probabilistic interference effect. This similarity with quantum physics convinced a multi-disciplinary group of scientists (physicists, psychologists, economists, sociologists) to apply the mathematical apparatus of quantum mechanics to modeling of cognition. We illustrate this activity by considering a few concrete phenomena: the order and disjunction effects, recognition of ambiguous figures, categorization-decision making. In Appendix 1 we briefly present essentials of theory of contextual probability and a method of representations of contextual probabilities by complex probability amplitudes (solution of the ``inverse Born's problem'') based on a quantum-like representation algorithm (QLRA).