The state of methods and tools for social systems change

The last decade or so has seen an increase in the rate of attention to systems change and the application of multiple theories to study and influence change in systems. This article considers how these theories, described in other articles in this issues, plus theories about complex adaptive systems open opportunities for us to continue to expand our repertoire of tools and methods to address systems change. These conceptual frameworks, tools, and methods are expected to help us increase our capacity to study and influence both planned and self-organizing systems change. New tools and methods have emerged and others are needed to help us continue to explore and influence the complex social systems within which we operate.     

The Hennessy–Milner equivalence for continuous time stochastic logic with mu-operator

A continuous stochastic logic with a μ-operator μCSL is defined, and an interpretation through stochastic relations is proposed. We investigate morphisms for models of μCSL, showing that the associated congruences can be used for an investigation of bisimilarity. The Hennessy–Milner equivalence for μCSL is discussed, and it is shown that models are equivalent iff they are bisimilar, using a general criterion for bisimilarity from the theory of stochastic relations.     

Mathematizing phenomenology

Husserl is well known for his critique of the “mathematizing tendencies” of modern science, and is particularly emphatic that mathematics and phenomenology are distinct and in some sense incompatible. But Husserl himself uses mathematical methods in phenomenology. In the first half of the paper I give a detailed analysis of this tension, showing how those Husserlian doctrines which seem to speak against application of mathematics to phenomenology do not in fact do so. In the second half of the paper I focus on a particular example of Husserl’s “mathematized phenomenology”: his use of concepts from what is today called dynamical systems theory.

Social neuroscience of child and adolescent depression

The social neuroscience of child and adolescent depression is inherently multidisciplinary. Depressive disorders beginning early in life can have serious developmental and functional consequences. Psychopathology research has described depression's defining clinical and contextual features, and intervention research has characterized its response to treatment and prevention programs. Neuroendocrine, electrophysiological, and neuroimaging studies have identified core neurobiological aspects of early-onset mood disorders. These areas are reviewed using a developmental social neuroscience perspective for integrating disparate observations. The paper introduces a dynamic adaptive systems framework, and it discusses hedonic capacity, stress sensitivity, ruminative self-focus, and attentional impairments as fundamental components of mood disorders.     

Studying the Dynamics of Problem Behavior Across Multiple Time Scales: Prospects and Challenges

As a commentary on the Special Issue, this paper discusses recent advances in the study of change across several time scales. It points out the importance of specifying time scales and putative patterns of change when characterizing problem behavior over developmental time scales. Methods for studying risk and protective mechanisms through observation of social interaction are also discussed as a way to study influences that operate in real time. Methods for studying episode-level interaction patterns that result from such real-time influences are also discussed, along with ways to integrate these with longitudinal assessments to study the effects of social interaction on problem behavior across developmental time scales.     

'Dialectical process' and 'constructive method': micro-analysis of relational process in an example from parent-infant psychotherapy

Jung defined experience that takes place between therapist and patient as 'dialectical process', achieved through 'constructive method'. Perspectives from attachment theory, neurobiology, cognitive science, systems thinking and infancy research confirm and extend his view of the centrality of relational process in the development of self. Interactional experiences are embedded within the history of the primary parent-infant relationship and structure within the mind implicit patterns of relating. These patterns influence capacities for managing a whole lifetime of affective relational experience within the self and with others. This paper shows how parent-infant psychotherapy seeks to intervene during the formation of disturbed relational patterns. I offer detailed micro-analysis of the moment-to-moment 'dialectical process' that a mother, her four-month-old infant and myself 'constructed' together.     

Student Therapists Grapple with Modern and Postmodern Ideas: One Program’s Approach to Training

Postmodern ideas have significantly challenged and expanded the marriage and family therapy field. Students in many training programs must grapple with models and training experiences influenced by both postmodern and modern orientations. The authors describe a particular programs training process and focus on the ways past students reflect on their professional development guided by the postmodernist-based perspective of Narrative Therapy and the modernist-based perspective of Bowen Family Systems Theory, two of the models emphasized by this program. The authors propose that these divergent philosophical orientations can interact together to support meaningful development in trainees experiences.     

Coordination of multiple memory systems

On the basis of lesions of different brain areas, several neural systems appear to be important for processing information regarding different types of learning and memory. This paper examines the development of pharmacological and neurochemical approaches to multiple memory systems from past studies of modulation of memory formation. The findings suggest that peripheral neuroendocrine mechanisms that regulate memory processing may target their actions toward those neural systems most engaged in the processing of learning and memory. In addition, measurements of acetylcholine release in different memory systems reveals extensive interactions between memory systems, some cooperative and some competitive. These results imply that many neural systems, often characterized as relatively independent, may in fact interact extensively, blurring the dependencies of different memory tasks on specific neural systems.