Analogy is often viewed as a partial similarity match between domains. But not all partial similarities qualify as analogy: There must be some selection of which commonalities count. Three experiments tested o particular selection constraint in anological mapping, namely, systemoticity. That is, we tested whether a given predicate is more likely to figure in the interpretation of and prediction from on analogy if the predicate participates in a common system of relations. In Experiment 1, subjects judged two matches to be included in on analogy: an isolated match, and a match embedded in. a larger matching system. Subjects preferred the embedded match. In Experiments 2 and 3, subjects mode analogical predictions about a target domain. Subjects predicted information that followed from a causal system that matched the base domain, rather than information that was equally plausible, but that created an isolated match with the base. Results support Gentner's (1983, 1989) structure. mopping theory in that anological mopping concerns systems and not individual predicates, and that attention to shored systematic structure constrains the selection of information to include in an analogy.

Machine Due to the current technology of the computers we can use, we have chosen an extremely abridged emulation of the machine that will effectively run the programs, instead of more proper languages, like l-calculus (or LISP). We have adapted the "toy RISC" machine of [Hernndez & Hernndez 1993] with two remarkable features inherited from its object-oriented coding in C++: it is easily tunable for our needs, and it is efficient. We have made it even more reduced, removing any operand in the instruction set, even for the loop operations. We have only three registers which are AX (the accumulator), BX and CX. The operations Q b we have used for our experiment are in Table 1: LOOPTOP Decrements CX. If it is not equal to the first element jump to the program top.

We live in an era when everyday activities are shaped by environments that are not only artificial—almost half of humanity lives in cities—but also mediated. Emotional and cognitive activities in all levels and segments of society are increasingly vested in information-rich venues supported by television, radio, telephone, and computer networks. Even in very remote areas, hunters and farmers watch satellite broadcasts and play battery-operated video games. And in the depths of the Amazon River basin, tribes use tiny video cameras to document territorial encroachments and destruction of rain forest habitat. 10.1 OVERVIEW This chapter explores the metaphor of media as lived environments. A medium can be considered an environment to the extent that it supports both the perception of opportunities for acting and some means for acting. This environmental metaphor can help us understand how media users exercise their powers of perception, mobility, and agency within the constraints

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Similarity based fault tolerant retrieval in neural associative memories (NAM) has not lead to wiedespread applications. A drawback of the efficient Willshaw model for sparse patterns [Ste61, WBLH69], is that the high asymptotic information capacity is of little practical use because of high cross talk noise arising in the retrieval for finite sizes. Here a new bidirectional iterative retrieval method for the Willshaw model is presented, called crosswise bidirectional (CB) retrieval, providing enhanced performance. We discuss its asymptotic capacity limit, analyze the first step, and compare it in experiments with the Willshaw model. Applying the very efficient CB memory model either in information retrieval systems or as a functional model for reciprocal cortico-cortical pathways requires more than robustness against random noise in the input: Our experiments show also the segmentation ability of CB-retrieval with addresses containing the superposition of pattens, provided even at hig...

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this article.--- PLA Phillip L. Ackerman, School of Psychology, Georgia Institute of Technology; Anna T. Cianciolo, Psychology of Abilities, Competencies, and Expertise Center, Yale University

Analogical reasoning has long been believed to play a central role in mathematics learning and problem solving (see Genter, Holyoak, & Kokinov, 2001); however, little is known about how analogy is used in everyday instructional contexts. This article examines analogies produced in naturally occurring U.S. mathematics lessons to explore patterns between analogy generation and instructional context. One hundred and three analogies were identified in a random sample of 25 eighth-grade mathematics classrooms videotaped as part of the Third International Mathematics and Science Study (see Stigler et al., 1999). Qualitative codes were used to gather quantitative data about the set of analogies, and emergent patterns considered. Specifically, the study examines patterns of teacher–student participation, analogy source and target construction, and contexts for analogy production. These data suggest that teachers regularly use analogy as instructional mechanisms to teach concepts and procedures, differentially generating sources to match the content goal of the analogy. The source and target construction is also related to whether the analogy is in response to students ’ needs for help. Teachers typically maintain control of each analogy by producing the majority of the comparison, though students are regularly involved in the components of the analogy that require minimal analogical thinking. Empirical researchers across disciplines have argued that analogical reasoning may be central to learning of abstract concepts (e.g., Brown & Kane, 1988;

I gratefully acknowledge the ‘Heerespsychologischer Dienst des Bundesministeriums

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