Understanding families as systems

In this article, we discuss recent research that has arisen from theoretical and conceptual models that use a systems metaphor for understanding families. We suggest that research stimulated by such models leads social scientists in new and important directions in understanding the social and emotional development of children in their families. These models view development as resulting from the dynamic transactions across multiple levels of family systems, which regulate a child's behavior. Thus, these models are important in considering multiple influences on development and adaptation.     

PEIRCEAN APPROACHES TO EMERGENT SYSTEMS IN COGNITIVE SCIENCE AND RELIGION

Cognitive science and religion provides perspectives on human cognition and spirituality. Emergent systems theory captures the subatomic, physical, biological, psychological, cultural, and transcendent relationships that constitute the human person. C. S. Peirce's metaphysical categories and existential graphs enrich traditional cognitive science modeling tools to capture emergent phenomena. From this richer perspective, one can reinterpret the traditional doctrine of soul as form of the body in terms of information as the constellation of constitutive relationships that enables real possibility.     

Evidence for spontaneous level-2 perspective taking in adults

Social interactions are fostered by humans’ propensity to compute their partner’s perspective online. However, due to the mindreading system’s limited capacity perspective taking (PT) was argued to occur spontaneously only for level-1, but not level-2 perspectives. We propose that level-2 perspectives (containing aspectual information) can also be computed spontaneously if participants have reason to assume that the partner is indeed aware of the objects’ aspectual properties. Pairs of adult participants took part in the modified version of Surtees, Butterfill, and Apperly’s (2012) number verification paradigm. Participants had prior information on their partner’s task, which either called for processing aspectual properties or did not. The partner’s inconsistent perspective was found to interfere with RT-s providing evidence for spontaneous level-2 PT. However, such interference only occurred when the partner’s task involved processing the perspective dependent object feature, suggesting that PT was sensitive to the other’s awareness of the to be represented information.     

On the Meaning of Words and Dinosaur Bones: Lexical Knowledge Without a Lexicon

Although for many years a sharp distinction has been made in language research between rules and words—with primary interest on rules—this distinction is now blurred in many theories. If anything, the focus of attention has shifted in recent years in favor of words. Results from many different areas of language research suggest that the lexicon is representationally rich, that it is the source of much productive behavior, and that lexically specific information plays a critical and early role in the interpretation of grammatical structure. But how much information can or should be placed in the lexicon? This is the question I address here. I review a set of studies whose results indicate that event knowledge plays a significant role in early stages of sentence processing and structural analysis. This poses a conundrum for traditional views of the lexicon. Either the lexicon must be expanded to include factors that do not plausibly seem to belong there; or else virtually all information about word meaning is removed, leaving the lexicon impoverished. I suggest a third alternative, which provides a way to account for lexical knowledge without a mental lexicon.     

Representing decision-makers using styles of behavior: An approach designed for group decision support systems

Supporting decision-making processes when the elements of a group are geographically dispersed and on a tight schedule is a complex task. Aiming to support decision-makers anytime and anywhere, Web-based group decision support systems have been studied. However, the limitations in the decision-makers’ interactions associated to this scenario bring new challenges. In this work, we propose a set of behavioral styles from which decision-makers’ intentions can be modelled into agents. The goal is that, besides having agents represent typical preferences of the decision-makers (towards alternatives and criteria), they can also represent their intentions. To do so, we conducted a survey with 64 participants in order to find homogeneous operating values so as to numerically define the proposed behavioral styles in four dimensions. In addition, we also propose a communication model that simulates the dialogues made by decision-makers in face-to-face meetings. We developed a prototype to simulate decision scenarios and found that agents are capable of acting according to the decision-makers’ intentions and fundamentally benefit from different possible behavioral styles, just as a face-to-face meeting benefits from the heterogeneity of its participants.     

The Impact of Cognitive Diversity on Crisis Negotiations

This paper reports on a series of experiments designed to assess the impact of grouping decision makers by level of cognitive complexity on the outcomes they attain in crisis negotiations. The participants—University of Maryland undergraduates who took roles in a simulated international hostage crisis—used a computer decision support system and a controlled network environment for communications. The goal of the experiments was to better understand the dynamics that lead certain types of groupings to have greater success in negotiations, and that lead certain groups of adversaries to achieve more mutually beneficial outcomes such as compromise and agreement. The findings point to a positive relationship between the level of homogeneity in cognitive complexity among decision makers and the achievement of positive outcomes in crisis negotiations.     

Confucian Order at the Edge of Chaos: The Science of Complexity and Ancient Wisdom

Many academics extol chaos theory and the science of complexity as significant scientific advances with application in such diverse fields as biology, anthropology, economics, and history. In this paper we focus our attention on structure-within-chaos and the dynamic self-organization of complex systems in the context of social philosophy. Although the modern formulation of the science of complexity has developed out of late-twentieth-century physics and computational mathematics, its roots may extend much deeper into classical thinking. We argue here that the essential ideas and predictions of the science of complexity are found within the social ordering principle of li (the rites) in Confucius's Analects .     

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.     

Algorithmic Proof Methods and Cut Elimination for Implicational Logics Part I: Modal Implication

In this work we develop goal-directed deduction methods for the implicational fragment of several modal logics. We give sound and complete procedures for strict implication of K, T, K4, S4, K5, K45, KB, KTB, S5, G and for some intuitionistic variants. In order to achieve a uniform and concise presentation, we first develop our methods in the framework of Labelled Deductive Systems [Gabbay 96]. The proof systems we present are strongly analytical and satisfy a basic property of cut admissibility. We then show that for most of the systems under consideration the labelling mechanism can be avoided by choosing an appropriate way of structuring theories. One peculiar feature of our proof systems is the use of restart rules which allow to re-ask the original goal of a deduction. In case of K, K4, S4 and G, we can eliminate such a rule, without loosing completeness. In all the other cases, by dropping such a rule, we get an intuitionistic variant of each system. The present results are part of a larger project of a goal directed proof theory for non-classical logics; the purpose of this project is to show that most implicational logics stem from slight variations of a unique deduction method, and from different ways of structuring theories. Moreover, the proof systems we present follow the logic programming style of deduction and seem promising for proof search [Gabbay and Reyle 84, Miller et al. 91].     

Psychometric Properties of the Family Support Scale with Head Start Families

Social support systems can have either a beneficial or adverse effect when a family faces stress. Hence, support perceived by family members is an important construct. We studied the psychometric properties of the Family Support Scale (FSS) with a sample of 244 low-income families of children in a Head Start program, and we conducted an exploratory factor analysis with the scale. We obtained a 5-factor solution for the FSS when assessing the family support of low-income families. The internal consistency and test-retest reliability were moderately high for the 5 proposed subscales. The factor structure obtained may prove more valid for Head Start families than structures from previous studies, although there is still a need for further psychometric study of the FSS.