Does the contemporary built environment—the ensemble of our humanly created surroundings—make us happy? This question prompts a consideration of the psychological dimensions of economic value, and of Tibor Scitovsky's revisions of standard economic theory. With Scitovsky as a starting point, a model of value based on modern complexity theory and a Maslow‐like rendition of human needs can account for some of the more important exceptions to the law of diminished marginal utility, including those that may undermine the built environment in (...) a market economy. (shrink)

The need to establish a research field within psychology didactics at secondary level has recently been voiced by several researchers internationally. An analysis of a Swedish case coming out of secondary level education in psychology presented here provides an illustration that complexity thinking – derived from complexity theory – is uniquely placed to consider and indicate possible solutions to challenges, described by researchers as central to the foundation of a new field. Subject-matter didactics is defined for the purpose (...) of this paper as a combination of general didactics and subject- matter content, and considering the international nature of research traditions coming out of psychology, the implications of the results presented here cannot be regarded as limited solely to national concerns. An on-line survey was sent to secondary schools in Sweden. Discussions and lectures along with teaching to the book – alternatively used as inspiration – emerged as central from the thematic analysis of the results, providing the first mapping of teaching practices in secondary level psychology in Sweden. An analysis, founded on complexity thinking – combined with a model enabling a delimitation of the scope of study – focused on time use and the importance placed on self-knowledge, along with the transformation of theory into practice. The former pointing to a teacher centred nested subsystem (e.g. asymmetric relations between teachers and students), the latter pointing to student centred nested subsystems coming out of embodied knowledge (e.g. students as node) where psychological perspectives are learnt through self-reflexion, case studies and everyday life experiences (turning theory to practice), implying a holistic approach. The analysis applied to the Swedish case provides an illustration of how complexity theory has the potential to address challenges at micro and macro level to the establishment of a new research field in psychology didactics and to indicate possible solutions. Psychologies high relevance to everyday life, multi-causality, perspective pluralism, dynamic systems character and scientific character, makes complexity thinking a relevant approach in the consideration of challenges to the establishment of a research field in didactics of psychology. (shrink)

Psychological measurement has received strong criticism throughout the history of psychological science. Nevertheless, measurements of attributes such as emotions or intelligence continue to be widely used in research and society. I address this puzzle by presenting a new causal perspective to psychological measurement. I start with assumptions that both critics and proponents of psychological measurement are likely to accept: a minimal causal condition and the observation that most psychological concepts are ill-defined or ambiguous. Based on this, I argue that psychological (...) measurement is fundamentally different from measurement in the physical sciences but can nevertheless be useful. (shrink)

Dynamic systems theory (DS) provides tools for exploring how simpler elements can interact to produce complex psychological configurations. It may, as Lewis demonstrates, provide means for explicating relationships between two reductionist approaches to overlapping sets of phenomena. The result is a description of psychological phenomena at a level that begins to achieve the richness we would hope to achieve in examining psychological life as it is experienced and explored in psychoanalysis.

This essay applies the material developed in The Wounded Researcher to education. The core issue in that book is the necessity to make a place for the complex unconscious in research in order to lay a foundation for an ethics that is based in deep subjectivity. The therapy room has characteristically been the place where this kind of work has occurred, and in this regard therapy has been a form of education. The boundaries of the therapy room have, however, exploded (...) and, given the awesome powers of technology to develop and communicate information, how do we make a place for the unconscious in our educational practices? Drawing upon the work of Carl Jung this essay addresses the following questions: How does one make a place for the unconscious in the classroom, without turning teaching into therapy?; How does a teacher make a place for the unconscious dynamics in the complex interactive field among himself/herself, the students, and the material without overwhelming students?; What are the limits and dangers of this effort?; What are the consequences if we continue to ignore these dynamics in the bodies of knowledge we build? Examples from teaching my book to graduate students in psychology are provided. (shrink)

This chapter contains sections titled: The First Experiment The Second Experiment Education as Awakening Vocation Vocation and Response‐ability Toward an Ethical Pedagogy Notes References.

The target article ignores the crucial role of correlational methods in the behavioral and social sciences. Yet such methods are often mandated by the greater complexity of the phenomena investigated. This necessity is especially conspicuous in psychological research where its position in the hierarchy of the sciences implies the need for both experimental and correlational investigations, each featuring distinct assets.

A summary of topics and theoretical approaches to dynamical systems and psychology. Includes chapters on physical systems, self-organization, state space and dimensionality, networks, neurodynamics, fractals and how such concepts help to explain cognition and the mind.

This research work investigates the association between psychological ownership and innovative behaviour with knowledge hiding and knowledge sharing as mediators. The latter variables are presented as focal antecedents of preventive and promotive psychological ownership. To conduct the study, a theoretical framework was proposed, and data was collected from professionals working in complex management systems in Pakistan. The analysis revealed that knowledge hiding and knowledge sharing can exist simultaneously, and psychological ownership can evoke both positive and negative feelings in employees, which (...) poses a challenge for the management. The results illustrate that psychological ownership has significant associations with knowledge hiding, knowledge sharing, and innovative behaviour. Consequent theoretical contributions and important managerial implications are discussed at the end. (shrink)

In this paper we examine the question of whether complexity-like explanations can be applied to the psychology of individuals, and its implications for the scope of complexity explanations of social phenomena. We start by outlining two representational-cum-computational models of the mind—a symbolic model and a networks or connectionist one—and their pros and cons. Based on this we then outline a radical, non-representational and non-computational alternative model that has been gaining ground recently, and which has significant affinities with complexity explanations (...) in social science. Deploying neo-Kantian considerations, we then argue that due to the discursivity, or conceptual dimension of our cognitive system, the radical alternative must be incorrect insofar as humans are concerned. Indeed, human psychology must involve, at least partly, a representational understanding of the sort provided by the symbolic model. Relatedly, we show how the discursiviry of human cognition complicates our psychology and makes it difficult to account for. Finally, we briefly address the question of how the complicated nature of individual psychology, implied by human discursivity, may affect complexity explanations of social behavior. (shrink)

This book reports recent landmark developments and the state of the art in NDS science in psychological theory and research.

The objective of this paper is to characterize the rich interplay between automatic and cognitive control processes that we propose is the hallmark of skill, in contrast to habit, and what accounts for its flexibility. We argue that this interplay isn't entirely hierarchical and static, but rather heterarchical and dynamic. We further argue that it crucially depends on the acquisition of detailed and well-structured action representations and internal models, as well as the concomitant development of metacontrol processes that can be (...) used to shape and balance it. (shrink)

First Published in 1999. Routledge is an imprint of Taylor & Francis, an informa company.

The study of human behavior is severely hampered by logistical problems, ethical and legal constraints, and funding shortfalls. However, the biggest difficulty of conducting social and behavioral research is the extraordinary complexity of the study phenomena. In this article, we review the impact of complexity on research design, hypothesis testing, measurement, data analyses, reproducibility, and the communication of findings in psychological science. The systematic investigation of the world often requires different approaches because of the variability in complexity. Confirmatory testing, multi-factorial (...) designs, survey methods, large samples, and modeling are frequently needed to study complex social and behavioral topics. Complexity impedes the measurement of general constructs, the reproducibility of results and scientific reporting, and the general rigor of research. Many of the benchmarks established by classic work in physical science are not attainable in studies of more complex phenomena. Consequently, the standards used to evaluate scientific research should be tethered to the complexity of the study topic. (shrink)

First Published in 1999. Routledge is an imprint of Taylor & Francis, an informa company.

First Published in 1999. Routledge is an imprint of Taylor & Francis, an informa company.

A problem is a situation in which an agent seeks to attain a given goal without knowing how to achieve it. Human problem solving is typically studied as a search in a problem space composed of states (information about the environment) and operators (to move between states). A problem such as playing a game of chess has possible states, and a traveling salesperson problem with as little as 82 cities already has more than different tours (similar to chess). Biological neurons (...) are slower than the digital switches in computers. An exhaustive search of the problem space exceeds the capacity of current computers for most interesting problems, and it is fairly clear that humans cannot in their lifetime exhaustively search even small fractions of these problem spaces. Yet, humans play chess and solve logistical problems of similar complexity on a daily basis. Even for simple problems humans do not typically engage in exploring even a small fraction of the problem space. This begs the question: How do humans solve problems on a daily basis in a fast and efficient way? Recent work suggests that humans build a problem representation and solve the represented problem—not the problem that is out there. The problem representation that is built and the process used to solve it are constrained by limits of cognitive capacity and a cost–benefit analysis discounting effort and reward. In this article, we argue that better understanding the way humans represent and solve problems using heuristics can help inform how simpler algorithms and representations can be used in artificial intelligence to lower computational complexity, reduce computation time, and facilitate real-time computation in complex problem solving. (shrink)

The social intuitionist approach to moral judgments advanced by social psychologist Jonathan Haidt presupposes that it is possible to provide an explanation of the human moral sense without normative implications. By contrast, Iris Murdoch’s philosophical work on moral psychology suggests that every description of morality necessarily involves evaluative features that reveal the thinker’s own moral attitudes and implicit philosophical pictures. In the light of this, we contend that Haidt’s treatment of the story about Julie and Mark, two siblings who (...) decide to have casual, protected, and in his view harmless sex, provides a too simplistic picture of what is involved in understanding human morality. Despite his aim to explain the roots of moral judgments, he fails to provide a deeper understanding of morality in two different respects. First, he does so by suggesting that his story contains all the relevant information needed to take a moral stand on it, and by rejecting as irrelevant the wider human context in which questions about sexual and family relations arise. Second, he simplifies the responses of the people who are subject to his experiment by disregarding their various reasons for disapproving and by equating understanding human morality with explaining an impersonal psychological process. (shrink)

Working memory limits are best defined in terms of the complexity of the relations that can be processed in parallel. Complexity is defined as the number of related dimensions or sources of variation. A unary relation has one argument and one source of variation; its argument can be instantiated in only one way at a time. A binary relation has two arguments, two sources of variation, and two instantiations, and so on. Dimensionality is related to the number of chunks, because (...) both attributes on dimensions and chunks are independent units of information of arbitrary size. Studies of working memory limits suggest that there is a soft limit corresponding to the parallel processing of one quaternary relation. More complex concepts are processed by or In segmentation, tasks are broken into components that do not exceed processing capacity and can be processed serially. In conceptual chunking, representations are to reduce their dimensionality and hence their processing load, but at the cost of making some relational information inaccessible. Neural net models of relational representations show that relations with more arguments have a higher computational cost that coincides with experimental findings on higher processing loads in humans. Relational complexity is related to processing load in reasoning and sentence comprehension and can distinguish between the capacities of higher species. The complexity of relations processed by children increases with age. Implications for neural net models and theories of cognition and cognitive development are discussed. (shrink)

Cramer et al.'s article is an example of the fruitful application of complex dynamic systems theory. We extend their approach with examples from our own work on development and developmental psychopathology and address three issues: (1) the level of aggregation of the network, (2) the required research methodology, and (3) the clinical and educational application of dynamic network thinking.

This article introduces and defends the “pathological complexity thesis” as a hypothesis about the evolutionary origins of minimal consciousness, or sentience, that connects the study of animal consciousness closely with work in behavioral ecology and evolutionary biology. I argue that consciousness is an adaptive solution to a design problem that led to the extinction of complex multicellular animal life following the Avalon explosion and that was subsequently solved during the Cambrian explosion. This is the economic trade-off problem of having to (...) deal with a complex body with high degrees of freedom, what I call “pathological complexity.” By modeling the explosion of this computational complexity using the resources of state-based behavioral and life history theory we will be able to provide an evolutionary bottom-up framework to make sense of subjective experience and its function in nature by paying close attention to the ecological lifestyles of different animals. (shrink)

According to the Maintainable Positive Mental Health Theory (MPMHT), the main pillars of positive mental health are global well-being, efficient coping that enables an individual to maintain positive conditions and functioning, savoring capacity, resilience, and dynamic self-regulation. This study presents the validation of a new five-scale mental health test (MHT), the MHT that operationalizes MPMHT. The methodology comprised two online cross-sectional studies using self-report questionnaires. Participants in Study I (n = 1,736; 448 males, 1,288 females; mean age 51.3 years; SD (...) = 11.6 years) filled in the MHT, the Flow, the Positive emotions, Engagement, Positive Relationship, Meaning, Accomplishment Questionnaire (PERMA-Profiler), and the Flourishing Scale. Participants in Study II (n = 1,083; 233 males, 847 females; mean age 33.9 years; SD = 12.2 years) filled in the MHT, the Shortened Aspiration Index, the short form of the Beck Depression Inventory, the WHO Well-Being Index, the Satisfaction with Life Scale, the Purpose in Life Test, and the Schema Questionnaire–Short Form. Exploratory factor analysis (EFA) identified a five-factor structure with 17 items in Study I that was confirmed with excellent fit measures in confirmatory factor analysis in Study II. Both studies indicated a high level of internal consistency (above 0.70). In each subscale, a minimum part of 44% did not overlap with the set of the other subscales. The content validity of the subscales was confirmed by 10 tests of mental health. We found a positive correlation of the self-regulation and resilience subscales with age, while women showed a higher level of savoring than men at all age levels. When Study I was replicated after 2 weeks and again after 11 months, excellent internal consistency and good test–retest correlation values of the MHT scales were found. The MHT can thus be considered a reliable and valid measurement tool for mental health. (shrink)

Critical consideration is given the empirical evidence for psychological models of religious development, its supposed relationship to other domains of psychological development, and especially, moral development. Significant problems with stage conceptions in these models augur a fundamental rethinking of religious development as a construct in developmental psychology. Model of Hierarchical Complexity has demonstrable promise for enabling greater precision in constructs and methods. This may resolve some central problems and advance research in the field.

Psychological research has generally suffered from methodological fundamentalism, which is an overly strict interpretation of what is considered “scientific” and has created a psychology of triviality. Methodological fundamentalism often constricts the study of a complex dynamic psychology that encompasses both observed and unobserved reality with interacting and interdependent variables. In Against Method, Feyerabend (1993) posits there could be no set scientific method and that great scientists are methodological opportunists who use any methodology that helps with discovery. As opposed (...) to Fisher’s (1925) arbitrary, categorical standard of p<.05, I suggest as a strength of a scientific finding the review of confidence levels of across various populations, methods, measures and forms of analyses. Eventually, I hope that an unbiased computer analysis of studies can guide researchers as to what theories show high confidence levels across various populations, methods, measures and forms of analyses and suggest the next step to advance the science. (shrink)

This paper explores whether human proactivity can be considered an expression of free will. The discussion involves two paradigms, which are mutually complementary and encompass psychological proactivity and reactivity. Both paradigms raise the question of linear and non-linear determinism, which inevitably leads to the issue of free will. The analysis attempts to find a compromise between linear and non-linear determinism through the approach of human dialectical complexity (Lebed & Bar-Eli, 2013). This refers to the relationships of two types of complex (...) subsystems within a human: the perceptual-motor dynamic system (PMDS), which is mostly determined by linear impacts and expressed through reactive behavior, and the “free-will”11. The authors employ the term “free will” in a metaphorical sense and do not put forth philosophical arguments for this consideration. complex system (FCS), which is mostly determined by non-linear redundant determinism and expressed through proactive dynamics. In summary, it is concluded that there cannot be a categorical assertion of the permanent existence of free will in human functioning. The human dialectical complexity expressed by both proactivity and reactivity causes the “floating” presence of free will depending on the prevalence of proactive control factors and the non-linear determination of a living human system. (shrink)

Ethics & Behavior, Volume 21, Issue 3, Page 261-262, May-June 2011.

A categorical, higher dimensional algebra and generalized topos framework for Łukasiewicz–Moisil Algebraic–Logic models of non-linear dynamics in complex functional genomes and cell interactomes is proposed. Łukasiewicz–Moisil Algebraic–Logic models of neural, genetic and neoplastic cell networks, as well as signaling pathways in cells are formulated in terms of non-linear dynamic systems with n-state components that allow for the generalization of previous logical models of both genetic activities and neural networks. An algebraic formulation of variable ‘next-state functions’ is extended to a Łukasiewicz–Moisil (...) Topos with an n-valued Łukasiewicz–Moisil Algebraic Logic subobject classifier description that represents non-random and non-linear network activities as well as their transformations in developmental processes and carcinogenesis. The unification of the theories of organismic sets, molecular sets and Robert Rosen’s (M,R)-systems is also considered here in terms of natural transformations of organismal structures which generate higher dimensional algebras based on consistent axioms, thus avoiding well known logical paradoxes occurring with sets. Quantum bionetworks, such as quantum neural nets and quantum genetic networks, are also discussed and their underlying, non-commutative quantum logics are considered in the context of an emerging Quantum Relational Biology. (shrink)

Complex problem solving (CPS) emerged in the last 30 years in Europe as a new part of the psychology of thinking and problem solving. This paper introduces into the field and provides a personal view. Also, related concepts like macrocognition or operative intelligence will be explained in this context. Two examples for the assessment of CPS, Tailorshop and MicroDYN, are presented to illustrate the concept by means of their measurement devices. Also, the relation of complex cognition and emotion in (...) the CPS context is discussed. The question if CPS requires complex cognition is answered with a tentative “yes.”. (shrink)

This book employs contemporary philosophy, scientific research, and clinical reports to argue that pain, though real, is not an appropriate object of scientific generalisations or an appropriate target for medical intervention. Each pain experience is instead complex and idiosyncratic in a way which undermines scientific utility. In addition to contributing novel arguments and developing a novel position on the nature of pain, the book provides an interdisciplinary overview of dominant models of pain. The author lays the needed groundwork for improved (...) models and targeted treatments at a time when pain science, pain medicine, and philosophy are explicitly searching for both and failing to find them. The Complex Reality of Pain will be of interest to a broad range of researchers and students, including those working in philosophy of mind, philosophy of science, cognitive science, neuroscience, medicine, health, cognitive and behavioural psychology, and pain science. (shrink)

A categorical, higher dimensional algebra and generalized topos framework for Łukasiewicz–Moisil Algebraic–Logic models of non-linear dynamics in complex functional genomes and cell interactomes is proposed. Łukasiewicz–Moisil Algebraic–Logic models of neural, genetic and neoplastic cell networks, as well as signaling pathways in cells are formulated in terms of non-linear dynamic systems with n-state components that allow for the generalization of previous logical models of both genetic activities and neural networks. An algebraic formulation of variable ‘next-state functions’ is extended to a Łukasiewicz–Moisil (...) Topos with an n-valued Łukasiewicz–Moisil Algebraic Logic subobject classifier description that represents non-random and non-linear network activities as well as their transformations in developmental processes and carcinogenesis. The unification of the theories of organismic sets, molecular sets and Robert Rosen’s (M,R)-systems is also considered here in terms of natural transformations of organismal structures which generate higher dimensional algebras based on consistent axioms, thus avoiding well known logical paradoxes occurring with sets. Quantum bionetworks, such as quantum neural nets and quantum genetic networks, are also discussed and their underlying, non-commutative quantum logics are considered in the context of an emerging Quantum Relational Biology. (shrink)

A universally acknowledged, core property of language is its complexity, at each level of structure – sounds, words, phrases, clauses, utterances, and higher levels of discourse. How does this complexity originate and develop in a language? We cannot fully answer this question from spoken languages, since they are all thousands of years old or descended from old languages. However, sign languages of deaf communities can arise at any time and provide empirical data for testing hypotheses related to the emergence of (...) language complexity. An added advantage of the signed modality is a direct correspondence between visible physical articulations and linguistic structures, providing a more transparent view of linguistic complexity and its emergence (Sandler 2012). These essential characteristics of sign languages allow us to address the issue of emerging complexity by documenting the use of the body for linguistic purposes. We look at three types of discourse relations of increasing complexity motivated by research on spoken languages – additive, symmetric and asymmetric (Mann and Thompson 1988; Sanders, Spooren, and Noordman 1992), Each relation type can connect units at two different levels: within propositions (simpler) and across propositions (more complex). We hypothesized that these relations provide a measure for charting the time course of emergence of complexity, from simplest to most complex, in a new sign language. We test this hypothesis on Israeli Sign Languages (ISL), a young language, some of whose earliest users are still available for recording. Taking advantage of the unique relation in sign languages between bodily articulations and linguistic form, we study fifteen ISL signers from three different generations, and demonstrate that the predictions indeed hold. We also find that younger signers tend to converge on more systematic marking of relations, that they use fewer articulators for a given linguistic function than older signers, and that the form of articulations becomes reduced, as the language matures. Mapping discourse relations to the bodily expression of linguistic components across age groups reveals how simpler, less constrained, and more gesture-like expressions, become language. (shrink)

When analyzing complex longitudinal data, especially data from different educational settings, researchers generally focus only on the mean part (i.e., the regression coefficients), ignoring the equally important random part (i.e., the random effect variances) of the model. By using Project English Language and Literacy Acquisition (ELLA) data, we demonstrated the importance of taking the complex data structure into account by carefully specifying the random part of the model, showing that not only can it affect the variance estimates, the standard errors, (...) and the tests of significance of the regression coefficients, it also can offer different perspectives of the data, such as information related to the developmental process. We used xxM (Mehta, 2013), which can flexibly estimate different grade-level variances separately and the potential carryover effect from each grade factor to the later time measures. Implications of the findings and limitations of the study are discussed. (shrink)

Although much recent social science and humanities work has been a revolt against simplification, this volume explores the contrast between simplicity and complexity to reveal that this dichotomy, itself, is too simplistic. John Law and Annemarie Mol have gathered a distinguished panel of contributors to offer—particularly within the field of science studies—approaches to a theory of complexity, and at the same time a theoretical introduction to the topic. Indeed, they examine not only ways of relating to complexity but complexity _in (...) practice._ Individual essays study complexity from a variety of perspectives, addressing market behavior, medical interventions, aeronautical design, the governing of supranational states, ecology, roadbuilding, meteorology, the science of complexity itself, and the psychology of childhood trauma. Other topics include complex wholes in the sciences, moral complexity in seemingly amoral endeavors, and issues relating to the protection of African elephants. With a focus on such concepts as multiplicity, partial connections, and ebbs and flows, the collection includes narratives from Kenya, Great Britain, Papua New Guinea, the Netherlands, France, and the meetings of the European Commission, written by anthropologists, economists, philosophers, psychologists, sociologists, and scholars of science, technology, and society. _Contributors._ Andrew Barry, Steven D. Brown, Michel Callon, Chunglin Kwa, John Law, Nick Lee, Annemarie Mol, Marilyn Strathern, Laurent Thévenot, Charis Thompson. (shrink)

Computer-simulated scenarios have been part of psychological research on problem solving for more than 40 years. The shift in emphasis from simple toy problems to complex, more real-life oriented problems has been accompanied by discussions about the best ways to assess the process of solving complex problems. Psychometric issues such as reliable assessments and addressing correlations with other instruments have been in the foreground of these discussions and have left the content validity of complex problem solving in the background. In (...) this paper, we return the focus to content issues and address the important features that define complex problems. (shrink)

This paper analyzes and evaluates Spinoza way of carrying out his naturalistic program in psychology. I begin by examining Spinoza’s general metaphysical doctrine according to which each thing strives to preserve itself. While this doctrine cannot be true in its unqualified form, it does receive some support from Spinoza’s views on the nature of complex individuals. I then explore the problematic way in which Spinoza applies the doctrine of self -preservation to human psychology. The paper goes on the (...) investigate the naturalistic character of Spinoza’s views on such topics as irrational action, prudence, altruism, mental causation and the nature and classification of affects. (shrink)

Is formal simplicity a guide to learning in humans, as simplicity is said to be a guide to the acceptability of theories in science? Does simplicity determine the difficulty of various learning tasks? I argue that, similarly to how scientists sometimes preferred complex theories when this facilitated calculations, results from perception, learning and reasoning suggest that formal complexity is generally unrelated to what is easy to learn and process by humans, and depends on assumptions about available representational and processing primitives. (...) “Simpler” hypotheses are preferred only when they are also easier to process. Historically, “simpler”, easier‐to‐process, scientific theories might also be preferred if they are transmitted preferentially. Empirically viable complexity measures should build on the representational and processing primitives of actual learners, even if explanations of their behaviour become formally more complex. (shrink)