Zone Morality

Traditional moral theory usually has either of two emphases: virtuous moral character or principles for distributing duties or goods. “Zone morality” introduces a third: families and businesses are systems created by the causal reciprocities of their members. These relations embody the duties and permissions of a system's moral code. Core systems satisfy basic interests and needs; we move easily among them, hardly noticing that moral demands vary from system to system. Moral conflicts arise because of discord within or among systems but also because morality has three competing sites: personal attitudes and practices (benevolence or hostility), the moral codes of systems, and regulative principles that enhance social cohesion. A strong church or central government reduces conflict by imposing its rules. A democracy responds by encouraging persons and systems to participate in forums where claims are made; it promises fairness by requiring that all satisfy its legal procedures.     

An expanded model for perceptual visual single object recognition system using expectation priming following neuroscientific evidence

Under numerous circumstances, humans recognize visual objects in their environment with remarkable response times and accuracy. Existing artificial visual object recognition systems have not yet surpassed human vision, especially in its universality of application. We argue that modeling the recognition process in an exclusive feedforward manner hinders those systems’ performance. To bridge that performance gap between them and human vision, we present a brief review of neuroscientific data, which suggests that considering an agent’s internal influences (from cognitive systems that peripherally interact with visual-perceptual processes) recognition can be improved. Then, we propose a model for visual object recognition which uses these systems’ information, such as affection, for generating expectation to prime the object recognition system, thus reducing its execution times. Later, an implementation of the model is described. Finally, we present and discuss an experiment and its results.     

Toward a translational model of Stroop interference

Models of the Stroop effect that postulate single, centralized processing stations are fundamentally incorrect. A translational model is proposed in which parallel processing systems are hypothesized that are linked by a translation mechanism. Each system processes information using its own internal code specifically linked to the type of information the system processes. Information is passed between these systems via the translation mechanism. Evidence supporting this model comes from both the literature and the experiments reported in this article. Of primary importance is the demonstration that the pattern of interference that emerges is dependent upon the cognitive system used to process the information.

     

An empirical comparison of natural-father and stepfather family systems.

This study examined the family system differences between 40 volunteer natural-father and stepfather families. Family triads consisting of the husband, the wife, and a child whose age ranged from 12 to 15 years were studied. Four instruments were used: (a) the Family Concept Q-Sort; (b) a Semantic Differential; (c) a demographic questionnaire; and (d) an interaction-reaction questionnaire. Analyses of variance on the data obtained from the Q-sorts and the Semantic Differentials indicated that stepfather family systems are different from natural-father family systems along several salient dimensions including psychological adjustment, satisfaction with family, reciprocal understanding, and perceived goodness and potency. It was concluded that the differences between the family systems in terms of their interpersonal relations and perceptions affect the entire stepparent family system and its ability to function adequately.     

A socially-based distributed self-organizing algorithm for holonic multi-agent systems: Case study in a task environment

Holonic multi-agent systems (HMASs) have recently attracted many researches in multi-agent systems community. Inspired from the multi-level and self-similar structures of social and biological system, holonic multi-agent systems have been widely used to model and solve complex real-world problems. The main concern in deploying HMASs is the problem of building the hierarchical holonic structure, called holarchy, and dynamically managing it during its lifetime. The way an HMAS is organized has a great impact on its applicability and performance. This paper proposes a self-organizing algorithm to build and manage the holoic structures in multi-agent systems. This algorithm is based on the local information of the agents about other agents they can communicate with. Using common social concepts, like skills, diversity, social exchange theory, and norms in definition of the algorithm, the outcomes of this research can be used in wide ranges of distributed applications. The proposed model is extensively tested in a task allocation problem; and its performance based on various design parameters is studied. Empirical results show that the proposed model properly increases the performance of the system in terms of effectiveness and efficiency.     

齐亡秦兴的政治制度因素探讨

多重因素的综合作用促成了齐亡豢兴的迥异结局,制度建设的差异是其中不容忽视的一个方面,毕竟一个国家的运转要靠制度来规范。在诸项制度中．又以政治制度为重要,因为这一制度与一国政权的运作模式、官僚系统的管理等最核心的问磊息息相关。只有符合时代要求并适应国家发展需要的管理制度才能有效地保证各政权机关权力的合理划分,也才能更好地调动行政机关人员的工作效率和工作热情。正是由于在政治制度上的许多差异,才造成齐秦两国在地方与中央权力分配、机构运作、官吏任选等方面存在重大不同．这明显对两国的最终命运产生了不同影响。     

Inquiry into intentional systems I: Issues in ecological physics

Summary The role of intention in guiding the behavior of goal-directed systems is a problem that continues to challenge behavioral science. While it is generally agreed that intentional systems must be consistent with the laws of physics, there are many obvious differences between inanimate, physical systems and sentient, intentional systems. This suggests that there must be constraints over and above those of physics that govern goal-directed behavior. In this paper it is suggested that generic properties of self-organizing mechanisms may play a central role in the origin and evolution of intentional constraints. The properties of self-organizing systems are first introduced in the context of simple physical systems and then extended to a complex (biological) system. Whereas behavior of an inanimate physical system is lawfully determined by force fields, behavior of an animate biological system is lawfully specified by information fields. Biological systems are distinguished from simple physical systems in terms of their ubiquitous use of information fields as special (biological and psychological, social, etc.) boundary conditions on classical laws. Unlike classical constraints (boundary conditions), informational constraints can vary with time and state of the system. Because of the nonstationarity of the boundary conditions, the dynamic of the system can follow a complex trajectory that is organized by a set of spatially and temporally distributed equilibrium points or regions. It is suggested that this equilibrium set and the laws that govern its transformation define a minimal requirement for an intentional system. One of the benefits of such an approach is that it suggests a realist account for the origin of semantic predicates, thereby providing a basis for the development of a theory of symbolic dynamics. Therefore, the principles of self-organization provide a comprehensive basis for investigating intentional systems by suggesting how it is that intentions arise, and by providing a lawful basis for intentional behavior that reveals how organisms become and remain lawfully informed in the pursuit of their goals.     

Systems-centered supervision

The systems-centered (SCT) approach to supervision frames the dynamics of both groups and individuals as isomorphic systems. In this chapter, the SCT supervisory experience, its goals, and its approach to transference and countertransference are addressed; the orientation of the seven questions that structure the SCT supervisory process are identified; and the thinking that is required to answer them is discussed. SCT supervisees locate their supervision issues in the context of the phases of system development; consider interventions as hypotheses that can be tested in the therapeutic context; and provide feedback to all parties about the validity of the theory of living human systems, the reliability of its systems-centered practice, and the accuracy of the therapist's hypotheses about the isomorphic dynamics of the systems of member, subgroup and group as a whole. Illustrations are taken from tape recordings of supervisory sessions.     

Using a laboratory computer for identification of nonlinear behavioral and electrophysiological systems

A system for mathematically identifying unknown nonlinear systems based upon Wiener kernels and G-functionals is presented as an example of the sophisticated analyses of electrophysiological and behavioral data made possible by the introduction of powerful digital computers to the laboratory environment. The applicability of these methods to a wide variety of systems is emphasized. By measuring the response of the unknown system to appropriate white noise stimulation, data may be obtained which are sufficient for the characterization of the system under test. The only restrictions upon the unknown system is that it be approximately stationary during the period of measurement and that its output depend upon its input in the finite past. Various pretests to evaluate the applicability of the method are presented. Simple FORTRAN programs that clarify the methods of computation are given for the preprocessing of data, the analysis of lower-order kernels, the synthesis of system response from the computed kernels, and the computation of the proportion of the variance in the systems output which is accounted for by the kernels zero, one, and two. These programs may be implemented on a digital laboratory computer of moderate size. Analysis may be performed either on-line or after data collection, depending upon the temporal characteristics of the system under test. This method represents one of the few analytical techniques presently available for the characterization of both linear and nonlinear systems. For this reason, it constitutes a uniquely powerful tool for many branches of psychology. Successful applications of this method to electrophysiological and behavioral data are mentioned. Limiting factors in the use of Wiener kernel analysis are also discussed.     

Towards a Theory of Reflexive Intentional Systems

(1) Intentional system: a system whose behaviour we may reliably predict via the intentional strategy, i.e., by interpreting its behaviour as a (more or less) rational consequence of its beliefs and desires. (2) Reflexive intentional system: a system that is able to interpret itself via the intentional strategy, and whose behaviour is, thus, influenced by an understanding of itself. All intentional systems behave in a meaningful way, but only reflexive intentional systems are aware of the meaning, Hence, only the latter are conscious of what they are doing.     

A proposal for an auditory sensation cognitive architecture and its integration with the motor-system cognitive function

The auditory system is capable of producing a wide range of information through the acquisition and perception of the vibrations present in the environment, even when the receptor is not directly facing the stimulus’s source. Said information can be crucial for survival and useful for a variety of systems like the visual system and the motor system. Despite that, the quantity of studies involving the auditory system or its interactions with other systems is limited, even though anatomical evidence recognizes this relationships’ existence. In this work, we study its interaction with the motor system. A bio-inspired model that explores the relationship between the auditory and motor systems, grounded on neuroscientific research, is presented to address this proposal. To validate our proposal, a case study in which we endow a virtual entity with our proposed model. Then, we ask both a group of persons and the virtual creature to compute and face towards the direction were the sound was originated.     

Windows on the 21st century

Behavior analysis is a cultural system of which the Association for Behavior Analysis is a component cultural system. As cultural systems, they are composed of interlocking behavioral contingencies that constitute their cultural practices. Critical to the survival of both cultural systems is the frequency of interaction with and the nature of the content of the behavioral contingencies composing those cultural practices. The strengths of behavior analysis as a cultural system include its disciplinary character and its worldwide community of scientists and practitioners; its ability to be integrated into a scientific worldview; its track record in providing effective solutions to problems of importance to society; and the high levels of intellect, competence, and commitment that are characteristic of its participants. Weaknesses of behavior analysis are its status as an academic orphan, its relatively small size and its underdeveloped professional identity, and a lack of sociopolitical sophistication among many of its members. Behavior analysis will need to maximize its strengths and mitigate its weaknesses if it is to take advantage of the many opportunities available for growth in the modern world.     

Episodic Learner Modeling

Modeling the learner is a central aspect of intelligent tutoring systems and knowledge-based help systems that support learners in complex problem-solving domains. In this article, the episodic learner model ELM is introduced as a hybrid system that analyses novices' solutions to programming tasks based on both rule-based and case-based reasoning. ELM behaves like to a human tutor. Initially, ELM is able to analyze problem solutions based only on its domain knowledge. With increasing knowledge about a particular learner captured in a dynamic episodic case base, it adapts to the learner's individual problem-solving behavior. Two simulation studies were performed to validate the system. The first study shows that the system can learn which rules are applied successfully to diagnose code produced by programmers and that using this information reduces the computational effort of diagnoses. Using information from the episodic learner model additionally speeds up the diagnostic process. The second study shows that ELM is able to predict individual solutions. Finally, correspondences and differences to related systems are discussed.     

On the properties of cognitive modules

Summary This paper evaluates the properties of cognitive modules and central systems as defined by Fodor (1983) against a set of empirical data from the domain of language processing. On the basis of results from normal and pathological language behavior the Fodorian dichotomy between domain-specific input systems and general central systems is rejected. Instead a model of cognitive processes is proposed which assumes three qualitative different types of system: a general system similar to that defined by Fodor, a domain-specific system that represents knowledge in procedural form, called input system, and a domain-specific system that respresents knowledge in declarative form and serves as an interface between the input system and the central system. These interface systems represent the same knowledge domain as their corresponding input systems, but in a different format. As the representational format of these interface systems is declarative, it allows for direct communication with the central system whose representational format is propositional by definition.     

Relations among functional systems in behavior analysis

This paper proposes that an organism's integrated repertoire of operant behavior has the status of a biological system, similar to other biological systems, like the nervous, cardiovascular, or immune systems. Evidence from a number of sources indicates that the distinctions between biological and behavioral events is often misleading, engendering counterproductive explanatory controversy. A good deal of what is viewed as biological (often thought to be inaccessible or hypothetical) can become publicly measurable variables using currently available and developing technologies. Moreover, such endogenous variables can serve as establishing operations, discriminative stimuli, conjoint mediating events, and maintaining consequences within a functional analysis of behavior and need not lead to reductionistic explanation. I suggest that explanatory misunderstandings often arise from conflating different levels of analysis and that behavior analysis can extend its reach by identifying variables operating within a functional analysis that also serve functions in other biological systems.     

Topical Roots of Formal Dialectic

Formal dialectic has its roots in ancient dialectic. We can trace this influence in Charles Hamblin’s book on fallacies, in which he introduced his first formal dialectical systems. Earlier, Paul Lorenzen proposed systems of dialogical logic, which were in fact formal dialectical systems avant la lettre, with roles similar to those of the Greek Questioner and Answerer. In order to make a comparison between ancient dialectic and contemporary formal dialectic, I shall formalize part of the Aristotelian procedure for Academic debates. The resulting system will be compared (1) with Van Eemeren and Grootendorst’s system of rules of Critical Discussion (the pragma-dialectical discussion procedure), which must, however, first itself be reconstructed as a formal dialectical system, and (2) with a Hamblin-type system, and (3) a Lorenzen-type system. When drawing comparisons, it will become clear that there is a line to be drawn from Aristotle to formal dialectic and pragma-dialectics, extending to contemporary computational models of argument.     

How to manage the evolution of a computerized information system

Existing computerized fiscal and patient information systems do not seem well suited for the mental health field. To design its own system, an institution would do better to form an information system staff rather than to use an outside software house, because doing it externally is less responsive, slower, and, for some tasks, simply impossible. The in-house staff must be selected to be competent generalists, at ease with computer technology. Working in close and friendly cooperation with various user groups, the systems evolve out of small beginnings. As the users gain working experience with early versions of a system, they are able to refine their goals, with the result that the final system meets their needs well, even though it may seem to be different from what was originally expected.     

A general model of primitive consciousness

We present a simple model of consciousness as it may exist in animals and can exist in man-made artifacts. The minimum unit of consciousness is a brain/body in interaction with a world. No parts of that system are themselves, conscious. Emphasis is placed on structures that could have evolved from earlier structures by small steps each of which conferred advantage to its possessors. The model is functional, so it becomes possible to build such conscious systems. Indeed, we show why conscious systems should be built as well as how humans should interact with them.