An integrated model for guiding the selection of treatment components for problem behavior maintained by automatic reinforcement

We evaluated the usefulness of 2 assessments to guide treatment selection for individuals whose prior functional analysis indicated that automatic reinforcement maintained their problem behavior. In the 1st assessment, we compared levels of problem behavior during a noncontingent play condition and an alone or ignore condition. In the 2nd, we assessed participants’ relative preferences for automatic reinforcement and social reinforcers in a concurrent‐operants arrangement. We used the results of these 2 assessments to assign 5 participants to a treatment based on noncontingent access to social reinforcers or to a treatment based on differential access to social reinforcers. We conducted monthly probes with the participants over 10 to 12 months to evaluate the effects of the treatment procedures. All participants showed reductions in problem behavior over this period.     

Individual and combined effects of noncontingent reinforcement and response blocking on automatically reinforced problem behavior

Noncontingent reinforcement (NCR) and response blocking are 2 common interventions for problem behavior maintained by automatic reinforcement. We implemented NCR and blocking with 1 boy and found this combined intervention to be effective at decreasing high rates of automatically reinforced pica. With another child, we compared the effects of blocking alone to the combined intervention. With the third child, we compared NCR alone and blocking alone to the combined intervention. Results showed that the combined intervention was effective at reducing automatically reinforced problem behavior while moderate to high levels of item engagement maintained. When evaluated individually, neither NCR nor blocking was sufficient to reduce problem behavior to clinically significant levels.     

Assessment and treatment of problem behavior maintained by mand compliance

We modified functional analysis procedures to include a condition in which we reinforced problem behavior by complying with a child's mands. After identifying compliance with mands as a reinforcer, we evaluated the efficacy of a token system with a response‐cost contingency and incorporated discriminative stimuli to signal when mands would be reinforced. The token system with response cost effectively reduced problem behavior. Similar procedures may be beneficial when continuous adult compliance is not possible, when adults want to control when they will comply with the child's mands, or to build a child's tolerance for adult‐directed situations.     

关于假设检验的争议:问题的澄清与解决

对传统的假设检验作为心理学实验的数据分析工具的评价涉及两个标准:首先是它是否合法,其次是它是否有用。置于频率学派统计学框架中的传统假设检验在逻辑上实际上是合法的;但它在效用性方面则有着备择假设不可证伪以及只能提供定性结论这两方面的缺陷。置信区间能够集中地改进和弥补这些缺陷。对传统假设检验使用中错误的澄清也使得研究者们开始重视PSI问题,这使得心理学实验的设计和数据分析从关注总体转向关注个体。     

Cognitive events in a problem-solving task: a qualitative method for investigating interactivity in the 17 Animals problem

Outside the cognitive psychologist's laboratory, problem-solving is an activity that takes place in a rich web of interactions involving people and artefacts. This interactivity is constituted by fine-grained action–perception cycles, and it allows a reasoner's comprehension of the problem to emerge from a coalition of internal and external resources. Taking an ecological approach to problem-solving, this paper introduces a qualitative method, Cognitive Event Analysis, for studying the fine-grained interactivity between a problem-solving agent and his/her environment. To demonstrate the potential of this method, it is used to study a single subject solving the so-called 17 Animals problem using a material model. The fine-grained procedure allows tracking the solution to a serendipity that was brought about because of the participant's aesthetic considerations and a change in her perceptual figure-ground configuration. While a qualitative single-case method cannot prove specific models of problem-solving, it questions prevalent mentalist models, and it generates new hypotheses on insight problem-solving, because it allows the researcher to attend to outliers and to variability on a fast and fine-grained between-measurement timescale.     

小学儿童规则发现的类比迁移研究

本研究以小学儿童为被试,证实了在策略提示条件下解决规则发现(合取规则和析取规则)的类比问题时,任务难度和表面相似性是影响策略的迁移的重要因素,并且发现小学儿童的思维能力存在着较大的个体差异.他们在问题解决时主要使用单维检验策略,多数小学儿童缺乏较强的元认知监控.     

Integrated Support from Problem Structuring through to Alternative Evaluation Using COPE and V·I·S·A

Work in the field of multiple criteria analysis has generally focused on evaluation procedures, taking as its starting point a well-defined problem with specified alternatives and criteria. However, in reality, problems are rarely so well-structured; hence, in order to usefully support decision making in practice, multiple criteria analysts need to address the issue of problem structuring. In this respect, much can be learned from the body of work stemming from operational research and systems in the U.K., known collectively as problem-structuring methods. In this paper we describe a study which sought to integrate one of these approaches, SODA (strategic options development and analysis), using the COPE software for cognitive mapping, with multiple criteria evaluation based on a multi-attribute value function using V·I·S·A. The study took the form of a 2 day action research workshop to explore the strategic direction of the Supplies and Commercial Services Department of a large U.K. NHS Hospital Trust and to develop an action plan consistent with the agreed direction. Even though the workshop was intended to be exploratory, from the point of view of both the facilitators and the participants, it enabled the group to make progress towards the definition of a strategic direction and led to an increased understanding and awareness of the issues. Drawing on this experience, we comment in general on the potential benefits arising from the integration of these two approaches and suggest fruitful areas for future research and development of the software tools and associated methodologies. © 1997 by John Wiley & Sons, Ltd. J. Multi-Crit. Decis. Anal. 6 : 115–130 (1997) No. of Figures: 9. No. of Tables: 0. No. of References: 37.     

Execution architectures for program algebra

We investigate the notion of an execution architecture in the setting of the program algebra PGA, and distinguish two sorts of these: analytic architectures, designed for the purpose of explanation and provided with a process-algebraic, compositional semantics, and synthetic architectures, focusing on how a program may be a physical part of an execution architecture. Then we discuss in detail the Turing machine, a well-known example of an analytic architecture. The logical core of the halting problem—the inability to forecast termination behavior of programs—leads us to a few approaches and examples on related issues: forecasters and rational agents. In particular, we consider architectures suitable to run a Newcomb Paradox system and the Prisoner's Dilemma.     

Functional analyses and treatment of precursor behavior

Functional analysis has been demonstrated to be an effective method to identify environmental variables that maintain problem behavior. However, there are cases when conducting functional analyses of severe problem behavior may be contraindicated. The current study applied functional analysis procedures to a class of behavior that preceded severe problem behavior (precursor behavior) and evaluated treatments based on the outcomes of the functional analyses of precursor behavior. Responding for all participants was differentiated during the functional analyses, and individualized treatments eliminated precursor behavior. These results suggest that functional analysis of precursor behavior may offer an alternative, indirect method to assess the operant function of severe problem behavior.