Regression I. Experimental approaches to regression

The concept of regression is considered with an emphasis on the differences between the positions of Freud and Jung regarding its significance. The paper discusses the results of experimental analyses of individual experience dynamics (from gene expression changes and impulse neuronal activity in animals to prosocial behaviour in healthy humans at different ages, and humans in chronic pain) in those situations where regression occurs: stress, disease, learning, highly emotional states and alcohol intoxication. Common mechanisms of regression in all these situations are proposed. The mechanisms of regression can be described as reversible dedifferentiation, which is understood as a relative increase of the representation of low-differentiated (older) systems in the actualized experience. In all of the cases of dedifferentiation mentioned above, the complexity of the systemic organization of behaviour significantly decreases.     

A test for psychometric function shift

A nonparametric, small-sample-size test for the homogeneity of two psychometric functions against the left- and right-shift alternatives has been developed. The test is designed to determine whether it is safe to amalgamate psychometric functions obtained in different experimental sessions. The sum of the lower and upper p-values of the exact (conditional) Fisher test for several 2 × 2 contingency tables (one for each point of the psychometric function) is employed as the test statistic. The probability distribution of the statistic under the null (homogeneity) hypothesis is evaluated to obtain corresponding p-values. Power functions of the test have been computed by randomly generating samples from Weibull psychometric functions. The test is free of any assumptions about the shape of the psychometric function; it requires only that all observations are statistically independent.     

On vagueness, 4D and diachronic universalism

I offer a new criticism of the argument from vagueness to four-dimensionalism [Sider 2001 Sider, Theodore. 2001. Four-Dimensionalism: An Ontology of Persistence and Time, Oxford: Clarendon Press. [Crossref] , [Google Scholar]. The argument is modelled after an older argument for mereological universalism [Lewis 1986 Lewis, David. 1986. On the Plurality of Worlds, Oxford: Blackwell.  [Google Scholar] and may be looked upon as a tightened-up and extended version of the latter. While I agree with other critics [Koslicki 2003 Koslicki, Kathrin. 2003. The Crooked Path from Vagueness to Four-Dimensionalism. Philosophical Studies, 114: 107–134. [Crossref], [Web of Science ®] , [Google Scholar]; Markosian 2004 Markosian, Ned. 2004. Two Arguments from Sider's Four-Dimensionalism. Philosophy and Phenomenological Research, 68: 665–673. [Crossref] , [Google Scholar] that the argument from vagueness fails precisely because of this affinity, my recipe for dealing with it is different. I reject the assumption, shared by Sider with his opponents, that synchronic composition and ‘minimal diachronic fusion’ are sufficiently similar to use considerations inspired by the analysis of the former to bear on the latter. My objection to a crucial premise of the argument from vagueness turns on the relevant aspect of dissimilarity between these two cases.     

Functionally Unidimensional Item Response Models for Multivariate Binary Data

The problem of fitting unidimensional item response models to potentially multidimensional data has been extensively studied. The focus of this article is on response data that have a strong dimension but also contain minor nuisance dimensions. Fitting a unidimensional model to such multidimensional data is believed to result in ability estimates that represent a combination of the major and minor dimensions. We conjecture that the underlying dimension for the fitted unidimensional model, which we call the functional dimension, represents a nonlinear projection. In this article we investigate 2 issues: (a) can a proposed nonlinear projection track the functional dimension well, and (b) what are the biases in the ability estimate and the associated standard error when estimating the functional dimension? To investigate the second issue, the nonlinear projection is used as an evaluative tool. An example regarding a construct of desire for physical competency is used to illustrate the functional unidimensional approach.     

The Intimate Relationship Between the McNaughton and the Chinese Remainder Theorems for MV-algebras

We show the intimate relationship between McNaughton Theorem and the Chinese Remaindner Theorem for MV-algebras. We develop a very short and simple proof of McNaughton Theorem. The arguing is elementary and right out of the definitions. We exhibit the theorem as just an instance of the Chinese theorem. Since the variety of MV-algebras is arithmetic, the Chinese theorem holds for MV-algebras. However, to make this paper self-contained and entirely elementary, we include a simple proof of this theorem inspired in Ferraioli and Lettieri (Math Logic Q 1:27–43, 2011).     

Information-Hierarchical Organization of Natural Systems I: The Information-Physical Principle

The mathematical notion of information characterizing system organization as such has been developed. The information-physical principle, which characterizes an information exchange in natural hierarchical systems and has been confirmed by its numerous applications, is laid down. It is shown to be based on the ancient “matter–measure–information” concept of physical world structure and talked about in the Hermes Trismegistus's will.     

Information-Hierarchical Organization of Natural Systems II: Futures of Man–Biosphere Interactions and Climate Control

The informational influence of both the vegetation and human society on climate dynamics in moderate and arid zones is revealed. The stability of the Eurasia climate during the last 2,000 years was determined by the specific structure of the Christianity-Judaism sociobiosystem. The study has also revealed the potential information-hierarchical organization of human society with a 71,874-year existence. This organization includes three world religions (Buddhism, Christianity, and Islam) as subsystems and provides both the global stability of climate processes and the conservation of evolutionary developed information-hierarchical organization of the biosphere.     

Cultural influences on preference consistency: Consistency at the individual and collective levels

Previous research has shown that there are cultural differences in self-concept consistency across situations. However, little is known about cultural differences in preference consistency over time. The present research examined whether Americans are more consistent in their preferences over time than are Japanese. As hypothesized, there were cultural differences in self-reported ( and ) and actual ( and ) preference consistency over time. Further, cultural differences in preference consistency at the individual level (Study 1) were found to aggregate into collective level differences ( and ) in the consistency of preference trends, such as the popularity of baby names. Implications and future directions are discussed.     

Cost minimization during simulated evolution of paired neural networks leads to asymmetries and specialization

Motivated by specialization (lateralization) that occurs in corresponding left and right regions of the cerebral cortex, several past computational models have studied conditions under which functional specialization can arise during learning due to underlying asymmetries in paired neural networks. However, these past studies have not addressed the basic issue of how such underlying asymmetries arise in the first place. As an initial step in addressing this issue, we investigated the hypothesis that underlying asymmetries will appear in paired neural networks during a simulated evolutionary process when fitness is based not only on maximizing performance, but also on minimizing various ‘costs’ such as energy consumption, neural connection weights, and response times. Simulated evolution under these conditions consistently produced networks with left–right asymmetries in region size, excitability and plasticity. These underlying asymmetries were often synergistic, leading to subsequent functional lateralization during network training. While our computational models are too simple for these results to be directly extrapolated to real nervous systems, they provide support for the hypothesis that brain asymmetries and lateralization in biological nervous systems may be a consequence of cost minimization present during evolution, and are the first computational demonstration of emergent population lateralization.