(I can’t get no) antisatisfaction

Synthese - Substructural approaches to paradoxes have attracted much attention from the philosophical community in the last decade. In this paper we focus on two substructural logics, named...     

Psychodynamic and systemic paradigms: An attempted integration in the light of personal experience with groups

Conclusion Our purpose is not to confuse psychoanalysis with systems theory: Karen Horney defined herself as a psychoanalyst, while the theory of autopoietic systems remains a systems theory. With the exception of the basic matrices that determine the identity of each current of thought, it seems possible to point out interesting points of contact among different anthropological views. They appear to converge on some points that are not to be overlooked, though they may take off from premises that are very different from each other. These are recent working hypotheses, which I have presented as a theme of research that needs to be verified scientifically. If these hypotheses can be rigorously verified in such a way as to avoid superimpositions, the theories would be enriched reciprocally, opening up interesting prospectives of scientific research. This is our wish.     

Representation of Similar Well-Learned Cognitive Procedures

Continued practice on a task is characterized by several quantitative and qualitative changes in performance. The most salient is the speed-up in the time to execute the task. To account for these effects, some models of skilled performance have proposed automatic mechanisms that merge knowlege structures associated with the task into fewer, larger structures. The present study investigated how the representation of similar cognitive procedures might interact with the success of such automatic mechanisms. In five experiments, subjects learned complex, multistep mental arithmetic procedures. These procedures included two types of knowledge thought to characterize most cognitive procedures: “component” knowledge for achieving intermediate results and “integrative” knowledge for organizing and integrating intermediate results. Subjects simultaneously practiced two procedures that had either the same component steps or the same integrative structure. Practiceeffect models supported a procedure-independent representation for common component steps. The availability of these common steps for use in a new procedure was also measured. Steps practiced in the context of two procedures were expected to show greater transfer to a new procedure than steps learned in the context of a single procedure. This did not always occur. A model using component/integrative knowledge distinction reconciled these results by proposing that integrative knowledge operated on all steps of the procedure: An integral part of the knowledge associated with achieving an intermediate result or state includes how it contributes to later task demands. These results are discussed in the context of automatic mechanisms for skill acquisition.     

Neighborhoods as a Developmental Context: A Multilevel Analysis of Neighborhood Effects on Head Start Families and Children

Neighborhoods have been recognized in theory and research as an important context for child development. This study used data from the Head Start Family and Child Experiences Survey (FACES) and Census 2000 to assess the underlying factor structure and impact of neighborhood factors on child cognitive and behavioral outcomes, including the critical family and social factors that may mediate and/or moderate these relationships. Factor analyses found five factors described Head Start neighborhoods. After controlling for family and child factors, multilevel analyses found significant direct effects of neighborhood factors on Head Start children’s cognitive and behavioral outcomes. There were no mediation effects found for family or social variables between neighborhood factors and child outcomes. A large number of moderation effects were found although there was not a clear pattern to the results. Future research, policy, and practice implications are discussed.     

The effects of information order and learning mode on schema abstraction

Memory & Cognition - Three experiments investigated the effects of information order and representativeness on schema abstraction in a category learning task. A set of category members, in...     

The Case for Psychologism in Default and Inheritance Reasoning

Default reasoning occurs whenever the truth of the evidence available to the reasoner does not guarantee the truth of the conclusion being drawn. Despite this, one is entitled to draw the conclusion “by default” on the grounds that we have no information which would make us doubt that the inference should be drawn. It is the type of conclusion we draw in the ordinary world and ordinary situations in which we find ourselves. Formally speaking, ‘nonmonotonic reasoning’ refers to argumentation in which one uses certain information to reach a conclusion, but where it is possible that adding some further information to those very same premises could make one want to retract the original conclusion. It is easily seen that the informal notion of default reasoning manifests a type of nonmonotonic reasoning. Generally speaking, default statements are said to be true about the class of objects they describe, despite the acknowledged existence of “exceptional instances” of the class. In the absence of explicit information that an object is one of the exceptions we are enjoined to apply the default statement to the object. But further information may later tell us that the object is in fact one of the exceptions. So this is one of the points where nonmonotonicity resides in default reasoning. The informal notion has been seen as central to a number of areas of scholarly investigation, and we canvass some of them before turning our attention to its role in AI. It is because ordinary people so cleverly and effortlessly use default reasoning to solve interesting cognitive tasks that nonmonotonic formalisms were introduced into AI, and we argue that this is a form of psychologism, despite the fact that it is not usually recognized as such in AI. We close by mentioning some of the results from our empirical investigations that we believe should be incorporated into nonmonotonic formalisms.