Can Cyber‐Physical Systems Reliably Collaborate within a Blockchain?

A blockchain can be considered a technological phenomenon that is made up of different interconnected and autonomous systems. Such systems are referred to here as cyber‐physical systems: complex interconnections of cyber and physical components. When cyber‐physical systems are interconnected, a new whole consisting of a system of systems is created by the autonomous systems and their intercommunication and interaction. In a blockchain, individual systems can independently make decisions on joint information transactions. The decision‐making procedures needed for this are executed based on fault‐tolerant communication and voting and consensus procedures, while the results of these decision‐making procedures are stored in distributed ledgers. Due to the intercommunication, interaction, and independent decision making by autonomous systems, the new whole of a blockchain is a complex entity. Complexity science rather than the usual reductionist scientific approach can help us better understand the behaviour of the new and continuously developing whole of a blockchain as a technological phenomenon.     

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.     

MARKETS AND MORALITY

For most of human history, economic systems were personal in nature—people normally interacted with people they knew personally and knew well. Today's modern market economies are impersonal—people normally interact with people they do not know personally. The historical movement from personal to impersonal systems was necessary for societies to develop the specialization of labor needed for modern production technologies. That is, the high standards of living in the developed world are due to these impersonal systems. However, the ethical systems theologians apply to modern market systems were developed for personal societies and are often inappropriate for impersonal societies. In this article, we develop the differences between personal and impersonal systems, examine the writings of a number of theologians who are very critical of market economies, and attempt to show how a different ethical approach is needed.     

Semantic representation of Kinship systems

Four representational systems are examined with respect to their adequacy for representing reasoning processes within kinship systems; the systems are associative, semantic feature, logical predicate, and an “algebraic” one based on set mappings. The associative and semantic feature systems are shown to be inadequate, and the logical predicate system is shown to be somewhat clumsy and unintuitive. The algebraic is proposed as the correct representation of kinship terms. It is suggested that certain other conceptual domains can also be best represented by an algebraic system.     

Deterministisches Chaos: Einige Wissenschaftstheoretisch Interessante Aspekte

Deterministic Chaos: Some Interesting Points of View from the Philosophy of Science. A comparatively simple example is used to present some of the main features of deterministic chaos. From the point of view of the philosophy of science, three questions are dealt with: if the equations of motion of chaotic systems are falsifiable in a strict sense; whether experiments on chaotic systems are reproducible; to what extent the development of chaotic systems is predictable. It emerges that in these respects chaotic systems, though being deterministic, behave essentially in the same way as stochastic (indeterministic) systems do.     

Toward the Development of Expert Assessment Systems

Artificially intelligent (AI) computer programs are emerging in several disciplines including education. This paper provides an overview of one type of AI program called, "expert systems." The potential application of expert systems to the diagnosis and assessment of special-needs chlidren is examined and existing prototype systems are reviewed. The future of this technology is discussed in relation to emerging development tools designed for the creation of expert systems by the lay public.     

拉丁美洲国家医疗保障制度探析

拉丁美洲国家的经济发展水平较高,公共健康开支和私人健康开支也比较高,医疗保障制度覆盖面较大,财政的健康开支公平性较高。但是国别之间,健康开支水平与经济发展水平之间以及健康开支水平与财政负担的公平性之间缺乏紧密的联系。这说明,社会医疗保险制度模式、收入差距等因素制约了医疗保障制度的作用的发挥和财政负担公平性的实现。     

Generalized concepts of syntactically and semantically trivial differences and instant-based and period-based time ontologies

It is argued that there are interesting cases in which two axiomatic systems syntactically and semantically non-trivially different in the standard sense are rather to be classified as only trivially different. For a strict comparison of the systems of such a kind the generalized concepts of syntactically and semantically trivial differences are formally defined. As an example, it is shown that an instant-based time system and a period-based time system sketched in the paper are just trivially different in the defined sense in spite of the fact that, contrary to Quine's famous requirement, the variables of the two systems can never range over the elements of one and the same basic set. What is the same in relation to both systems is time topology.     

The role of the psychologist expert witness: Provider of perspective and input

The definition and role of the expert witness is reviewed. Two conceptual systems for viewing the world, the scientific method and the adversarial system, are compared. The reconciliation and integration of these two discrepant systems are discussed in terms of input versus outcome. The rules of evidence, as well as problems of communication between the systems, are reviewed with the aim of providing expert witnesses with a better understanding of effective testimony. Finally, collaboration between the two systems is called for in order to provide guidelines for both neuropsychologists and attorneys.     

Getting the social organism thinking: strategy for systems change

The ability of community researchers/practitioners to facilitate systems change is constrained by social power--particularly the capacity to shape ideology [S. Lukes (1974). Power: A radical view. Hampshire: MacMillan] and frequently power molds ideologies which undermine systems thinking. Following what Mills [C. W. Mills, (1959). The sociological imagination. New York: Oxford University Press] (termed the "sociological imagination", this article makes the case for a strategy of systems change that promotes an integrated focus on systems and their constituent individuals. Both of these components are understood to continuously shape each other. The social imagination is introduced as a way to conceptualize the intersection between individuals' conceptions of systems and the ways that systems work to form individual identities and perceptions of social reality. Examples of attempts at systems change from community organizing and public health are used to illustrate both common fallacies and potential future directions for systems change efforts.     

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.     

The dynamical hypothesis in cognitive science

According to the dominant computational approach in cognitive science, cognitive agents are digital computers; according to the alternative approach, they are dynamical systems. This target article attempts to articulate and support the dynamical hypothesis. The dynamical hypothesis has two major components: the nature hypothesis (cognitive agents are dynamical systems) and the knowledge hypothesis (cognitive agents can be understood dynamically). A wide range of objections to this hypothesis can be rebutted. The conclusion is that cognitive systems may well be dynamical systems, and only sustained empirical research in cognitive science will determine the extent to which that is true.     

TAOISM AND BIOLOGICAL SCIENCE

Abstract. The seemingly disparate systems of philosophical Taoism and modern biological science are compared. A surprising degree of similarity is found in their views on death, reversion (cyclicity of phenomena), complementary interactions of dichotomous systems, and the place of humans in the universe. The thesis is advanced that these similarities arise quite naturally, since both systems base their knowledge upon objective observation of natural phenomena. Substantial differences between the two systems are recognized and examined regarding verbal argument, machinery, and experimentation. The Taoists' relationship to Chinese alchemy and the biologists' to technology are claimed to mitigate their attitudes toward experimentation.     

Spreadsheet analysis of a hierarchical control system model of behavior

The behavior of a hierarchy of control systems can be simulated with an electronic-spreadsheet. Each control system is a column of three cells representing the reference signal, perceptual signal, and output variable of the system. All of the control systems are closed-loop, the input to each system being a function of its output. The circular references in the spreadsheet are resolved through iterative recalculation. When the parameters of each control system (amplification and slowing factors) are set to appropriate values, all control systems in the hierarchy continue to match perceptual signals with reference signals. A three-level hierarchy with four systems at each level is simulated in the spreadsheet. The spreadsheet model makes it possible to observe the dynamic behavior of the control systems as they correct for the effects of environmental disturbance and changes in higher order reference signals. It is possible to “reorganize” the system by changing the perceptions controlled by systems at different levels of the hierarchy. The user can also test to determine the variables being controlled by the system.     

An Outline of a Theory of Action Systems

It is argued that the traditional psychological construal of the distinction between central (“open loop”) and peripheral (“closed loop”) neural processes is no longer tenable. A review of the relevant psychobiological research on the control of movement shows that both the central-peripheral dichotomy and the distinction between sensory and motor systems derived from that dichotomy are incompatible with what is known about the processes underlying action. Based on experimental and comparative data, a new theory of action is proposed. The basic concept of this new theory is the action system: Unlike motor systems, action systems involve sensory as well as motor processes; action systems are not organized into response hierarchies, but rather in coalitional structures of adjustable movements and postures. The phylogeny of action systems is discussed, and the eight most important action systems are distinguished in terms of their evolved distinctive functions. The difficulties of developing a taxonomy of actions for functionally specific types of behavior made up of units that can be controlled is resolved by showing how kinds of action are differentiated by the kinds of affordances their components help to realize.     

An outline of a theory of action systems

It is argued that the traditional psychological construal of the distinction between central ("open loop") and peripheral ("closed loop") neural processes is no longer tenable. A review of the relevant psychobiological research on the control of movement shows that both the central-peripheral dichotomy and the distinction between sensory and motor systems derived from that dichotomy are incompatible with what is known about the processes underlying action. Based on experimental and comparative data, a new theory of action is proposed. The basic concept of this new theory is the action system: Unlike motor systems, action systems involve sensory as well as motor processes; action systems are not organized into response hierarchies, but rather in coalitional structures of adjustable movements and postures. The phylogeny of action systems is discussed, and the eight most important action systems are distinguished in terms of their evolved distinctive functions. The difficulties of developing a taxonomy of actions for functionally specific types of behavior made up of that can be controlled is resolved by showing how kinds of action are differentiated by the kinds of affordances their components help to realize.     

Demythologizing the emotions: adaptation,cognition, and visceral representations of emotion in the nervous system

This article highlights four issues about the neurobiology of emotions: adaptation vs. dysfunction, peripheral and central representations of emotion, the regulation of the internal milieu, and whether emotions are cognitive. It is argued that the emotions evolved to play diverse adaptive roles and are biologically vital sources of information processing. They were not designed as pieces of pathology, though they certainly can underlie some psychophathologies. Emotions are, in part, appraisal systems that are operative at numerous level of the nervous system from the brainstem to the cortex. Like other information processing systems they are not perfect cognitive systems. Emotional systems often utilize somatic and visceral information for appraisals of events to facilitate decisions of whether to approach or avoid objects. The neural systems of emotions traverse the entire neural axis and are linked to the regulation of the internal milieu. Thus, in addition to the experiential aspects of emotions, emotions embody appraisal systems that are pervasive to all levels of the brain to facilitate function, adaptation, and survival.     

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.