Induction of Relational Schemas: Common Processes in Reasoning and Complex Learning

Five experiments were performed to test whether participants induced a coherent representation of the structure of a task, called a relational schema, from specific instances. Properties of a relational schema include: An explicit symbol for a relation, a binding that preserves the truth of a relation, potential for higher-order relations, omnidirectional access, potential for transfer between isomorphs, and ability to predict unseen items in isomorphic problems. However relational schemas are not necessarily coded in abstract form. Predictions from relational schema theory were contrasted with predictions from configural learning and other nonstructural theories in five experiments in which participants were taught a structure comprised of a set of initial-state,operator → end-state instances. The initial-state,operator pairs were presented and participants had to predict the correct end-state. Induction of a relational schema was achieved efficiently by adult participants as indicated by ability to predict items of a new isomorphic problem. The relational schemas induced showed the omnidirectional access property, there was efficient transfer to isomorphs, and structural coherence had a powerful effect on learning. The “learning to learn” effect traditionally associated with the learning set literature was observed, and the long-standing enigma of learning set acquisition is explained by a model composed of relational schema induction and structure mapping. Performance was better after reversal of operators than after shift to an alternate structure, even though the latter entailed more overlap with previously learned tasks in terms of the number of configural associations that were preserved. An explanation for the reversal shift phenomenon in terms of induction and mapping of a relational schema is proposed. The five experiments provided evidence supporting predictions from relational schema theory, and no evidence was found for configural or nonstructural learning theories.     

An empirical test of schema mode conceptualizations in personality disorders

Although the use of schema modes in schema-focused therapy (SFT) has been very popular since its introduction, Young's schema mode concept remained largely empirically untested. In order to provide insight into the mode conceptualization of personality disorders (PDs), the current study assessed the relationships between 14 schema modes and all PDs. Relationships between dimensional PD scores and self-reported mode scores were tested in a mixed study group of 489 participants, consisting of axis I and axis II patients, and non-patients. Psychopathology was assessed by means of the Structured Clinical Interview for DSM-IV axis I and axis II disorders (SCID I and SCID II) or the Structural Interview for DSM-IV Personality Disorders (SIDP-IV), and modes were assessed by the Schema Mode Inventory. Kendall's partial tau coefficients, controlling each PD-mode correlation for all other PD scores, indicated unique mode profiles for all PDs and corroborated most of the hypothesized PD-mode correlations, supporting the construct validity of the mode model. Nevertheless, the high number of correlations found for some PDs raises concerns about the specificity of the mode model. Implications for both research and therapy are discussed.     

On the spontaneous discovery of a mathematical relation during problem solving

People spontaneously discover new representations during problem solving. Discovery of a mathematical representation is of special interest, because it shows that the underlying structure of the problem has been extracted. In the current study, participants solved gear-system problems as part of a game. Although none of the participants initially used a mathematical representation, many discovered a parity-based, mathematical strategy during problem solving. Two accounts of the spontaneous discovery of mathematical strategies were tested. According to the automatic schema abstraction hypothesis, experience with multiple, unique problem exemplars facilitates extraction of the parity relation. According to the comparison-based abstraction hypothesis, explicitly comparing gear pathways that have different number, but the same parity, should result in extraction of parity. An event history analysis showed that accumulation of experiences with different-number, same-parity comparisons predicted discovery of parity; accumulation of unique exemplars did not. Results suggest that comparison-based abstraction processes can lead to the discovery of a mathematical relation.     

Distinctiveness Benefits Novelty (and Not Familiarity), but Only Up to a Limit: The Prior Knowledge Perspective

Novelty is a pivotal player in cognition, and its contribution to superior memory performance is a widely accepted convention. On the other hand, mnemonic advantages for familiar information are also well documented. Here, we examine the role of experimental distinctiveness as a potential explanation for these apparently conflicting findings. Across two experiments, we demonstrate that conceptual novelty, an unfamiliar combination of familiar constituents, is sensitive to its experimental proportions: Improved memory for novelty was observed when novel stimuli were relatively rare. Memory levels for familiar items, in contrast, were completely unaffected by experimental proportions, highlighting their insensitivity to list‐based distinctiveness. Finally, no mnemonic advantage for conceptual novelty over familiarity was observed even when novel stimuli were extremely rare at study. Together, these results imply that novel and familiar items are processed via partially distinct mechanisms, with (at least some facets of) novelty not providing a mnemonic advantage over familiarity.     

From cybernetics to brain theory,and more: A memoir

While structured as an autobiography, this memoir exemplifies ways in which classic contributions to cybernetics (e.g., by Wiener, McCulloch & Pitts, and von Neumann) have fed into a diversity of current research areas, including the mathematical theory of systems and computation, artificial intelligence and robotics, computational neuroscience, linguistics, and cognitive science. The challenges of brain theory receive special emphasis. Action-oriented perception and schema theory complement neural network modeling in analyzing cerebral cortex, cerebellum, hippocampus, and basal ganglia. Comparative studies of frog, rat, monkey, ape and human not only deepen insights into the human brain but also ground an EvoDevoSocio view of “how the brain got language.” The rapprochement between neuroscience and architecture provides a recent challenge. The essay also assesses some of the social and theological implications of this broad perspective.     

Reviving inert knowledge: analogical abstraction supports relational retrieval of past events

We present five experiments and simulation studies to establish late analogical abstraction as a new psychological phenomenon: Schema abstraction from analogical examples can revive otherwise inert knowledge. We find that comparing two analogous examples of negotiations at recall time promotes retrieving analogical matches stored in memory—a notoriously elusive effect. Another innovation in this research is that we show parallel effects for real-life autobiographical memory (Experiments 1–3) and for a controlled memory set (Experiments 4 and 5). Simulation studies show that a unified model based on schema abstraction can capture backward (retrieval) effects as well as forward (transfer) effects.     

Compensating for Innovation: Extreme Product Incongruity Encourages Consumers to Affirm Unrelated Consumption Schemas

New products are often extremely incongruent with expectations. The inability to make sense of these products elevates anxiety and leads to negative evaluations. Although scholars have predominantly focused on combating the negative response to extreme incongruity, we propose that extreme incongruity may have implications that extend beyond the category. We base our predictions on the concept of fluid compensation, which suggests that when people struggle to make sense of something, they will nonconsciously reinforce highly accessible schemas in unrelated domains. Four studies confirm that extreme incongruity encourages fluid compensation, such that it elevates preference for dominant brands (study 1), green consumption (studies 2 and 4), and ethnocentric products (study 3). We isolate the causal role of anxiety using moderation tasks and biometric feedback. Furthermore, we demonstrate that compensation has an immediate dampening effect on arousal intensity. Thus, if consumers can compensate before explicitly evaluating an extremely incongruent product, their evaluations tend not to be negative. Taken together, we document that extreme innovations encourage compensation, and in compensating, consumers can become more receptive to extreme innovations.     

文本信息加工中的知识结构的测量

知识结构是信息加工中各类信息在记忆系统中的组织结构的反映。为更好地表征和分析知识结构,研究者从教育科学技术和计算机技术的角度发展出一系列的研究方法和测量工具,包括潜在语义分析、心理模型分析和语义聚合分析。研究者可以结合具体情况选用合适的测量工具。而如何实现眼动、功能性成像数据与当前的测量相结合,则需要研究者在未来的工作中展开进一步探讨。     

Sources of Emotional Maltreatment and the Differential Development of Unconditional and Conditional Schemas

Schema theory posits that experiences of maltreatment result in the early development of maladaptive schemas (EMS; Young, Klosko, & Weishaar, 2003, Schema therapy: A practitioner's guide, The Guilford Press: New York, NY). EMS are organized by conditionality; unconditional schemas are theorized to develop early in childhood predominantly in response to experiences of parenting and conditional schemas are theorized to develop later in life in response to other relationships. Despite this distinction, minimal previous research has investigated their differential development. The current study examined the relative contributions of parental and other (peer and intimate partner) emotional maltreatment (EMT) in the differential development of unconditional and conditional schemas. Ninety-seven undergraduate students retrospectively reported their maltreatment experiences using the Lifetime Experiences Questionnaire and completed the Young Schema Questionnaire to measure EMS. Consistent with hypotheses, parental EMT was the strongest predictor of unconditional schemas. Unexpectedly, parental EMT also emerged as the strongest predictor of conditional schemas. Theoretical and clinical implications of these findings are discussed.     

The effects of relational structure on analogical learning

Relational structure is important for various cognitive tasks, such as analogical transfer, but its role in learning of new relational concepts is poorly understood. This article reports two experiments testing people’s ability to learn new relational categories as a function of their relational structure. In Experiment 1, each stimulus consisted of 4 objects varying on 2 dimensions. Each category was defined by two binary relations between pairs of objects. The manner in which the relations were linked (i.e., by operating on shared objects) varied between subjects, producing 3 logically different conditions. In Experiment 2, each stimulus consisted of 4 objects varying on 3 dimensions. Categories were defined by three binary relations, leading to six logically different conditions. Various learning models were compared to the behavioral data, based on the theory of schema refinement. The results highlight several shortcomings of schema refinement as a model of relational learning: (1) it can make unreasonable demands on working memory, (2) it does not allow schemas to grow in complexity, and (3) it incorrectly predicts learning is insensitive to relational structure. We propose schema elaboration as an additional mechanism that provides a more complete account, and we relate this mechanism to previous proposals regarding interactions between analogy and representation construction. The current findings may advance understanding of the cognitive mechanisms involved in learning and representing relational concepts.