“If We’re Going to Change Things, It Has to Be Systemic:” Systems Change in Children’s Mental Health

Communities that undertake systems change in accordance with the system of care philosophy commit to creating new systems entities for children and adolescents with serious emotional disturbance. These new entities are values-based, voluntary, and cross-agency alliances that include formal child-serving entities, youth, and families. Describing the scope and intent of one such implementation of systems of care, a mental health administrator commented, "If we're going to change things, it has to be systemic" (B. Baxter, personal communication, December 2, 2005). This paper explores the concept of "systemic" in the context of systems of care. Systems theory is used to understand strategies of purposeful systems change undertaken by stakeholders in established system of care communities. The paper presents a conceptual model of systems change for systems of care that is grounded in data from a national study of system of care implementation (Research and Training Center for Children's Mental Health in Case Studies of system implementation: Holistic approaches to studying community-based systems of care: Study 2, University of South Florida, Louis de la Parte Florida Mental Health Institute, Research and Training Center for Children's Mental Health, Tampa, FL, 2004). The model is based on Soft Systems Methodology, an application of systems theory developed to facilitate practical action around systems change in human systems (Checkland in Systems thinking, systems practice, Wiley, Chichester, 1999). The implications of these findings to real world actions associated with systems change in systems of care are discussed.     

Sociobiology and Moral Discourse

In the intellectual lineage of sociobiology (understood as evolutionary social science), this article considers the place of moral discourse in the evolution of emergent systems for mediating behavior. Given that humans share molecular systems, reflex systems, drive systems, emotional systems, and cognitive systems with chimpanzees, why is it that human behavior is so radically different from chimpanzee behavior? The answer is that, unlike chimps, humans possess symbolic systems, empowering them to override chimplike default morality in favor of symbolically mediated moral codes. The article concludes with a brief discussion of the power of religious symbols to influence moral behavior by reprogramming emotional systems.     

Acetylcholine modulation of neural systems involved in learning and memory

Extensive evidence supports the view that cholinergic mechanisms modulate learning and memory formation. This paper reviews evidence for cholinergic regulation of multiple memory systems, noting that manipulations of cholinergic functions in many neural systems can enhance or impair memory for tasks generally associated with those neural systems. While parallel memory systems can be identified by combining lesions with carefully crafted tasks, most—if not all—tasks require the combinatorial participation of multiple neural systems. This paper offers the hypothesis that the magnitude of acetylcholine (ACh) release in different neural systems may regulate the relative contributions of these systems to learning. Recent studies of ACh release, obtained with in vivo microdialysis samples during training, together with direct injections of cholinergic drugs into different neural systems, provide evidence that release of ACh is important in engaging these systems during learning, and that the extent to which the systems are engaged is associated with individual differences in learning and memory.     

Systems Thinking for Knowledge

The capacity to engage in systems thinking is often viewed as being a product of being able to understand complex systems due to one's facility in mastering systems theories, methods, and being able to adeptly reason. Relatively little attention is paid in the systems literature to the processes of learning from experience and creating knowledge as a direct consequence of individuals engaging systems thinking itself over time. In fact, the potential efficacy of systems thinking to improve performance normally seen as only contingent on a priori knowledge, rather than knowledge created via learning from experience. Such newly create knowledge often results from engaging in modeling efforts and systemic forms of inquiry. This article proposes a model for creating new knowledge by coupling systems modeling with a pragmatic approach to knowledge-creation. This approach is based on a foundation of the pragmatic concepts first proposed by the American philosopher/scientist Charles Sanders Peirce over a century ago. This model offers systems practitioners a framework to engage in knowledge-intensive systems thinking (KIST) for addressing complex problematic issues.     

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.     

Commentary: What are behavior systems and what use are they?

The contributions of this symposium on behavior systems are summarized and evaluated by considering two questions: (1) What is a behavior system? (2) What use to the learning theorist are behavior systems? Two examples of behavior systems from the classical ethological literature are compared with the behavior systems discussed in the symposium, and some similarities and differences in the type of analyses used are discussed. Analysis of the pre-organized species-typical behavior systems relevant to the unconditioned stimuli or reinforcers in learning experiments can contribute performance rules and better understanding of the conditions and contents of learning. The organization of behavior systems can also provide important clues to the neural circuitry underlying behavior, and a behavior systems approach can raise novel questions concerning learning and behavioral development. Possible future directions for the behavior systems approach are briefly discussed.     

Using system differences to orchestrate change: a systems-guides intervention model

Successful community-based interventions require that change agents give attention to the complexities of interwoven systems, described in the literature as complicated or complex, purposeful or purposive. The author further notes the separate standards, norms, principles and/or goals (here-named systems-guides) of systems. This paper describes the author's experience as a consultant to a multi-system collaboration where observed tensions among participants resulted in the author's implementation of a three-step systems-guides model, which can increase change agents' effectiveness with systems. The steps comprise: detection (of systems, systems-guides, and discrepancies between them; here through observation); documentation (of discrepancies; here through small group discussions); dissemination (to systems participants; here to the collaboration). Two small but fundamental systems changes emerged from systems participants, not from the change agent/author who facilitated systems members' recognition of discrepancies. A major limitation in the implementation of this systems-guides model centers on the critical necessity of the close relationship change agents must have with the involved systems.     

Deep structure,cognition and rebirth: Propositions for viability and vitality in human systems

This paper describes systems dynamics related to deep structure and development processes in human systems, to the process of arresting entropy or premature death in these systems and to the relationship between the cognition of deep structure, its outward manifestation and human systems viability and vitality. The paper proposes that inherent forces are present in systems that act to bring about alignment between inner deep structure and a system's manifested outer structures and processes, thereby enhancing viability and vitality. Deep structure is seen as a force toward self‐organization and rebirth.     

Systems Theory and Family Therapy: From a Critique on Systems Theory to a Theory on System Change

Some system therapists reject the systemic view for various reasons, often related to violence, victimisation and power. This critique is based on an outdated narrow and incomplete knowledge of linear systems theory. A better understanding of these linear systems theories and of systems levels of organisation already answers much of the critique, but does not explain change. For the latter, a theory of how systems change is necessary for systems therapy in general and family therapy in particular. Modern dynamic systems and chaos theory are most useful to understand change, chaos, history, unpredictability and flexibility.     

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.     

Temporal alethic–deontic logic and semantic tableaux

The purpose of this paper is to describe a set of temporal alethic–deontic systems, i.e. systems that include temporal, alethic and deontic operators. All in all we will consider 2,147,483,648 systems. All systems are described both semantically and proof theoretically. We use a kind of possible world semantics, inspired by the so-called T × W semantics, to characterize our systems semantically and semantic tableaux to characterize them proof theoretically. We also show that all systems are sound and complete with respect to their semantics.     

Differences between belief and knowledge systems

Seven features which in practice seem to differentiate belief systems from knowledge systems are discussed. These are: nonconsensuality, “existence beliefs,” alternative worlds, evaluative components, episodic material, unboundedness, and variable credences. Each of these features gives rise to challenging representation problems. Progress on any of these problems within artificial intelligence would be helpful in the study of knowledge systems as well as belief systems, inasmuch as the distinction between the two types of systems is not absolute.     

If you go down to the woods today you are in for a big surprise: seeing the wood for the trees in online delivery of career guidance

Arguments about online delivery of career development are too frequently couched in polarising terms setting traditional face-to-face guidance practice against online systems. The focus has been on the alleged dehumanising impact of technology and the speed, economy and efficiency of online systems. The possible synergies delivered by the appropriate integration of online systems into career development need exploring. The potential of eguidance, elearning, social media and online information and assessment systems has been insufficiently explored. The user experience has been overlooked, despite evidence that user-interface issues and usability are critical factors in the effectiveness of online systems. The application of artificial intelligence remains largely under-researched in career development. The potential for online systems to assist individuals respond to their chaotic careers has yet to be adequately addressed.     

COMPUTERIZED SYSTEMS FOR COLLECTING REAL-TIME OBSERVATIONAL DATA

Advances in computer technology have led to the development of a number of semiautomated systems for collecting real-time observational data. We conducted a survey of 15 developers of computerized systems and summarized the features of each system. Many of these systems have incorporated laptop or handheld computers as well as bar-code scanners. Most systems used IBM-compatible (DOS or Windows) software, although a few were designed for either the MacOS or some other operating system. The range in prices started from free to more complete systems costing over $1,500. Data analysis programs were included with most programs; however, only about a third of the systems included a program to compute interobserver agreement.     

A THERMODYNAMIC THEORY OF THE ORIGIN AND HIERARCHICAL EVOLUTION OF LIVING SYSTEMS

Growing interest in the origin of life, the physical foundations of biological theory, and the evolution of animal social systems has led to increasing efforts to understand the processes by which elements or living systems at one level of organizational complexity combine to form stable systems of higher order. J. Bronowski saw the need to extend or reformulate evolutionary theory to deal with the hierarchy problem and to account for the evolution of systems of “stratified stability.” The hierarchy problem has become a matter of great interest also in nonequilibrium thermodynamic theory. An effort is made here to develop an abstract, phenomenological model, based on the laws of thermodynamics, to account for the origin and hierarchical evolution of living systems. It is argued that the principle of minimum entropy production, developed by I. Prigogine, applies generally to all thermodynamic systems and processes and is implicit in an extended and more complete formulation of the second law of thermodynamics. From this are derived a thermodynamic criterion and a principle of thermodynamic selection governing the formation of stable systems of “elements” of various levels of organization. Thermodynamic selection gives rise to the creation of “elements” having increasingly “open” characteristic structures which may combine spontaneously to form “social” or crystalline systems capable of growing and reproducing themselves through processes of fissioning or budding. Such simple, self-reproducing systems are capable of evolving by natural selection, which is seen to be a special case of the more general process of thermodynamic selection. The principle of natural selection, thus formulated, has the character of a fundamental physical law. Self-reproducing systems with suitably open hereditary programs may combine to form stable social systems, which may grow and reproduce as a unit. In this way self-reproducing systems of increasing hierarchical order, size, and organizational complexity may evolve through processes of thermodynamic (natural) selection. Some implications of this open-ended model and opportunities for testing its empirical and theoretical utility are explored.     

Qualitative probabilistic inference under varied entropy levels

In previous work, we studied four well known systems of qualitative probabilistic inference, and presented data from computer simulations in an attempt to illustrate the performance of the systems. These simulations evaluated the four systems in terms of their tendency to license inference to accurate and informative conclusions, given incomplete information about a randomly selected probability distribution. In our earlier work, the procedure used in generating the unknown probability distribution (representing the true stochastic state of the world) tended to yield probability distributions with moderately high entropy levels. In the present article, we present data charting the performance of the four systems when reasoning in environments of various entropy levels. The results illustrate variations in the performance of the respective reasoning systems that derive from the entropy of the environment, and allow for a more inclusive assessment of the reliability and robustness of the four systems.     

Case Report: A Systems Approach to Genetic Counseling for Albinism

A systems approach to family therapy assumes that a person and his/her problems do not operate in a social vacuum but instead are imbedded in a social context. This context includes fairly small social systems such as a nuclear family and larger social systems such as school systems and cultural beliefs. A case of a girl with albinism born to a couple from India will be used to discuss how a systems approach might be useful in a genetic counseling setting.     

Signature Limits in Mindreading Systems

Recent evidence that young children seem to both understand false belief in one sense, but not in another, has led to two‐systems theorizing about mindreading. By analyzing the most detailed two‐systems approach in studying social cognition—the theory of mindreading defended by Ian Apperly and Stephen Butterfill—I argue that that even when dutifully constructed, two‐systems approaches in social cognition struggle to adequately define the mindreading systems in terms of signature processing limits, an issue that becomes most apparent when investigating mindreading in infancy. I end the article by developing several challenges that face any two‐systems account of mindreading.