A behavioral systems approach to adaptive computerized instructional design

A computerized multimedia instructional system has been developed that adheres to behavioral systems principles for presenting both adaptive programmed instructional materials and laboratory simulations. This instructional software system, called MediaMatrix, is both an authoring environment and a presentation vehicle that adapts the complexity of presentations in real time to changes in a student’s current rate of progress. It incorporates an automated knowledge-generation system that tracks all interactions between the user and any instructional objects within the system. Such knowledge is used both for a research database and for an artificial-intelligence engine that constructs an estimate ofconcept association networks (Verplanck, 1992a). Such networks reflect a learner’s developing knowledge and skill base, and may be used for tutorial advising during student use.     

On the relation between applied behavior analysis and positive behavioral support

Anderson and Freeman (2000) recently defined positive behavioral support (PBS) as a systematic approach to the delivery of clinical and educational services that is rooted in behavior analysis. However, the recent literature contains varied definitions of PBS as well as discrepant notions regarding the relation between applied behavior analysis and PBS. After summarizing common definitional characteristics of PBS from the literature, we conclude that PBS is comprised almost exclusively of techniques and values originating in applied behavior analysis. We then discuss the relations between applied behavior analysis and PBS that have been proposed in the literature. Finally, we discuss possible implications of considering PBS a field separate from applied behavior analysis.     

Creating a strategy for progress: a contextual behavioral science approach

Behavior analysis is a field dedicated to the development and application of behavioral principles to the understanding and modification of the psychological actions of organisms. As such, behavior analysis was committed from the beginning to a comprehensive account of behavior, stretching from animal learning to complex human behavior. Despite that lofty goal, basic behavior analysis is having a generally harder time finding academic support, and applied behavior analysis has narrowed its focus. In the present paper we argue that both of these trends relate to the challenge of human language and cognition, and that developments within clinical behavior analysis and the analysis of derived relational responding are providing a way forward. To take full advantage of these developments, however, we argue that behavior analysts need to articulate their unique approach to theory, to develop more flexible language systems for applied workers, and to expand their methodological flexibility. This approach, which we term contextual behavioral science, is meant as an evolutionary step that will allow behavior analysis to better capture the center of modern psychological concerns in both the basic and applied areas. Clinical behavior analysis is showing a way forward for behavior analysis to regain its vision as a comprehensive approach to behavior.     

Posterior cingulate cortex: adapting behavior to a changing world

When has the world changed enough to warrant a new approach? The answer depends on current needs, behavioral flexibility and prior knowledge about the environment. Formal approaches solve the problem by integrating the recent history of rewards, errors, uncertainty and context via Bayesian inference to detect changes in the world and alter behavioral policy. Neuronal activity in posterior cingulate cortex - a key node in the default network - is known to vary with learning, memory, reward and task engagement. We propose that these modulations reflect the underlying process of change detection and motivate subsequent shifts in behavior.     

Facilitation of human tobacco self-administration by ethanol: a behavioral analysis.

The effect of ethanol on the cigarette smoking of alcoholic subjects was studied in a residential laboratory. During daily 6-hr sessions, cigarettes were obtained either by request to the ward staff or by operation of a lever (fixed-ratio 5 or 10). In a mixed sequence across days, sessions involved ingestion of either vehicle (orange juice or vehicle plus ethanol (133.7 g). During ethanol sessions, the rate of cigarette smoking increased from 26% to 117% of vehicle levels. A series of control studies eliminated a number of potential behavorial mechanisms for the observed effect and indicated that the ethanol-induced increase in cigarette smoking occurred under a variety of experimental conditions: (1) when smoking could not occur concurrently with ethanol or vehicle consumption; (2) when subjects were not allowed to socialize; (3) when ingestion of ethanol or vehicle was scheduled for a number of consecutive days; (4) when various doses of ethanol were administered under blind conditions. In control experiments, weighing unsmoked tobacco and counting the number of puffs per cigarette indicated the effect was not due to smoking less of each cigarette. The effect was not limited to the experimental sessions alone, since total daily smoking was higher on ethanol days than vehicle days.     

Extreme itching treated by a family systems approach

A case study is presented in which a 16-year-old daughter developed extreme itching and scratching behavior that was triggered by the occurrence of manifested parental conflict. The daughter's scratching also served the family function of helping the parents avoid marital conflict. Family treatment consisted of helping the parents manifest, negotiate, and resolve marital conflict issues in front of the daughter so that she could experience the benefits of dealing with a family conflict in a functional way. This approach has helped the daughter decrease her anxiety about conflict situations which, in turn, has resulted in a significant decrease in her itching and scratching behavior. In addition, the parents report an improved marital relationship now that the daughter's itching no longer occurs and no longer interrupts the parents' attempts to negotiate marital conflict issues.     

Extreme itching treated by a family systems approach

A case study is presented in which a 16-year-old daughter developed extreme itching and scratching behavior that was triggered by the occurrence of manifested parental conflict. The daughter's scratching also served the family function of helping the parents avoid marital conflict. Family treatment consisted of helping the parents manifest, negotiate, and resolve marital conflict issues in front of the daughter so that she could experience the benefits of dealing with a family conflict in a functional way. This approach had helped the daughter decrease her anxiety about conflict situations which, in turn, has resulted in a significant decrease in her itching and scratching behavior. In addition, the parents report an improved marital relationship now that the daughter's itching no longer occurs and no longer interrupts the parents' attempts to negotiate marital conflict issues.1979, Fall     

Hypnotic blindness: a behavioral and experiential analysis

This research examined the influence of visual information on a decision task that subjects were administered during hypnotically suggested blindness. Real, hypnotizable subjects and simulating, unhypnotizable subjects were tested in two experiments. Experiment 1 focused on behavioral responses, and Experiment 2 focused on experiential reactions. In both experiments, the findings indicated that the behavioral responses of reals were influenced by visual information despite their reported blindness. The behavioral responses of reals and simulators were essentially similar. The experiential data in Experiment 2 provided information about the phenomenal nature of subjects' reported blindness. The experimental reactions of reals and simulators were essentially different. The research is discussed in terms of the issues that need to be considered in the development of a model of hypnotic blindness.     

Applying linear systems analysis to dynamic behavior

In this paper we present an abbreviated discussion of the linear systems analysis in the time domain. We then consider the qualitative character of the behavioral dynamics predicted using the linear form of the analysis. The analysis is then extended to a second-order form. We illustrate some relevant new features introduced by the second-order form with a special case example.     

Intermale fighting and predatory behavior in house mice: An analysis of behavioral content

Two forms of aggression, intermale and predatory, wwere compared on the basis of behavioral content. Male wild mice were presented with opponents of two types, nonaggressive male mice and crickets, and the amounts of time spent in each of 18 behaviors were recorded. Results from analyses of variance and principal components analyses indicated that the structure of behavioral content differs greatly for intermale fighting and predatory behavior. It was, therefore, concluded that the integrated patterns of beahvior were controlled by separate mechanisms for predatory versus intermale aggression.     

The soft constraints hypothesis: a rational analysis approach to resource allocation for interactive behavior

Soft constraints hypothesis (SCH) is a rational analysis approach that holds that the mixture of perceptual-motor and cognitive resources allocated for interactive behavior is adjusted based on temporal cost-benefit tradeoffs. Alternative approaches maintain that cognitive resources are in some sense protected or conserved in that greater amounts of perceptual-motor effort will be expended to conserve lesser amounts of cognitive effort. One alternative, the minimum memory hypothesis (MMH), holds that people favor strategies that minimize the use of memory. SCH is compared with MMH across 3 experiments and with predictions of an Ideal Performer Model that uses ACT-R's memory system in a reinforcement learning approach that maximizes expected utility by minimizing time. Model and data support the SCH view of resource allocation; at the under 1000-ms level of analysis, mixtures of cognitive and perceptual-motor resources are adjusted based on their cost-benefit tradeoffs for interactive behavior.