Decision making and equilibria

In economics and in the social sciences, the study of decision making of the single individual is an important preliminary step to provide a sound foundation for the analysis of equilibria in economic and social systems. Neuroeconomic analysis of the process has been a recent fruitful development in this direction. In the more recent past a new direction of research has emerged, studying the interplay of the decision making of the single individual with the economic and social environment that surrounds him. We review some of the results in this field, both theoretical and experimental, and suggest that a closer development of these two methods of research will be necessary in the future.     

Outline of a general model of measurement

Measurement is a process aimed at acquiring and codifying information about properties of empirical entities. In this paper we provide an interpretation of such a process comparing it with what is nowadays considered the standard measurement theory, i.e., representational theory of measurement. It is maintained here that this theory has its own merits but it is incomplete and too abstract, its main weakness being the scant attention reserved to the empirical side of measurement, i.e., to measurement systems and to the ways in which the interactions of such systems with the entities under measurement provide a structure to an empirical domain. In particular it is claimed that (1) it is on the ground of the interaction with a measurement system that a partition can be induced on the domain of entities under measurement and that relations among such entities can be established, and that (2) it is the usage of measurement systems that guarantees a degree of objectivity and intersubjectivity to measurement results. As modeled in this paper, measurement systems link the abstract theory of measuring, as developed in representational terms, and the practice of measuring, as coded in standard documents such as the International Vocabulary of Metrology.     

Implicit learning in rule induction and problem solving

Using the Chinese Ring Puzzle (Kotovsky & Simon, ; P. J. Reber & Kotovsky, ), we studied the effect on rule discovery of having to plan actions or not in order to reach a goal state. This was done by asking participants to predict legal moves as in implicit learning tasks (Experiment 1) and by asking participants to make legal moves as in problem-solving tasks (Experiment 2). Our hypothesis was that having a specific goal state to reach has a dual effect on rule discovery. The first effect is positive and related to feedback from moves done in order to attain the goal: generalising the results of action and associating them to the conditions in which they were obtained allows discovery of the rule and learning it. The second effect is negative. In attempting to reach a specific goal, participants first tend to reduce the distance that separates the current state from the goal state (hill climbing) and so neglect the kind of exploration that facilitates rule and procedure discovery because this would seem to be a detour from the goal. Results show that having to plan actions improved performance in implicit learning tasks (Experiment 1), yet it impaired performance in problem-solving tasks (Experiment 2). Although implicit learning and problem solving are based on rule discovery, and entail noticing regularities in the material, in both cases, rule discovery processes appear to be task-dependent.     

On Monadic Operators on Modal Pseudocomplemented De Morgan Algebras and Tetravalent Modal Algebras

Studia Logica - In our paper, monadic modal pseudocomplemented De Morgan algebras (or mmpM) are considered following Halmos’ studies on monadic Boolean algebras. Hence, their topological...     

A Structural Equation Model for the School Reinforcement Survey Schedule: Italian and American Early Adolescents

The School Reinforcement Survey Schedule (SRSS) was administered to 2,828 boys and girls in middle schools in the United States and an Italian translation was administered to 342 boys and girls in middle schools in Northern Italy. An exploratory factor analysis using half the American data set was performed using maximum likelihood estimation with a promax rotation. This analysis produced a structural equation model with six interpretable latent variables. This analysis was confirmed by results demonstrating a good fit with the other half of the American sample and separately with the Italian sample. Scores for the six latent variables were constructed and information about the distribution of scores was obtained. Multiple comparisons of the means were performed by gender, within each national sample, for each of the six latent variables. American and Italian girls report obtaining greater enjoyment from a wider variety of school activities compared to American and Italian boys.     

West vs. West like East vs. West? A comparison between Italian and US American context sensitivity and Fear of Isolation

Easterners tend to process information more holistically than Westerners. Kim and Markman (J Exp Soc Psychol 42(3):350–364, 2006) suggest that these differences are rooted in higher chronic levels of Fear of Isolation (FOI) for those cultures that process information more holistically. The goal of this study was to determine if these differences and their suggested cause could be found with two different Western cultures. Testing Italian (IT) and US American (US) adults, we found that IT participants processed information more holistically and had a higher chronic level of FOI than US participants; furthermore, the manipulation of FOI affected context sensitivity more for IT than for US participants. The results demonstrate that IT participants were more similar to previous research with Eastern populations than with Western populations (Kim and Markman in J Exp Soc Psychol 42(3):350–364, 2006) and indicate a within-Western culture difference for reasoning styles and support the hypothesis that this difference is due to different chronic levels of FOI.     

Communication and Cognition: The Social Beyond Language,Interaction and Culture

Cognition theories describe the social with terms like language, interaction or culture, whose theoretical status has also been discussed in modern sociology. These concepts are not well-positioned to understand the emergence and autonomy of social orders. Sociological theory of self-referential systems can be useful to reconstruct the bottom-up process which contributes to the emergence of the social as communication as well as to describe the way in which society exerts downward causation upon cognitive phenomena. The core of this theory is the systemic category of meaning as a shared horizon for psychic and social systems.     

Dual or unitary system? Two alternative models of decision making

In recent years, a lively debate in neuroeconomics has focused on what appears to be a fundamental question: Is the brain a unitary or a dual system? We are still far from a consensus view. The accumulating evidence supports both sides of the debate. A reason for the difficulty in reaching a convincing solution is that we do not yet have a clear theoretical model for either position. Here I review the basic elements and potential building blocks for such theories, using sources in large measure from classical decision theory and game theory.     

Frontal pole cortex: encoding ends at the end of the endbrain

Considerable neuroimaging research in humans indicates that the frontal pole cortex (FPC), also known as Brodmann area 10, contributes to many aspects of cognition. Despite these findings, however, its fundamental function and mechanism remain unclear. Recent neurophysiological results from the FPC of monkeys have implications about both. Neurons in the FPC seem to encode chosen goals at feedback time and nothing else. Goals, the places and objects that serve as targets for action, come in many forms and arise from many cognitive processes. The FPC's signal, although surprisingly simple for neurons at the apex of a prefrontal hierarchy, could promote learning about which kinds of goals and goal-generating processes produce particular costs and benefits, thereby improving future choices.