Negative automaintenance omission training is effective

Twelve pigeons were exposed to negative automaintenance contingencies for 17-27 sessions immediately after brief (14-16 sessions) or extended (168-237 sessions) exposure to positive automaintenance contingencies, or after 4-10 sessions of instrumental training. In all conditions, negative automaintenance contingencies virtually eliminated responding, reducing response rates to an average 1.3 responses per min. This reduction in response rate was validated by a model of transition between early and late response rates that assumed exponential transition of rates from one set of contingencies to the next. The model faithfully reproduced cumulative records, and yielded estimates of terminal rates under negative automaintenance that were close to operant level.     

A rejoinder to Bimrose & Bayne

To understand the role of theory in guidance, it is reasonable to ask if the theories taught to guidance practitioners are applied in the manner of applied science and, if this is not so, to enquire further into their connection to practice. This is, it is contended, what the earlier article by Kidd et al. does. The status of guidance as a profession is immaterial in this regard, and was not, therefore, considered in the article. Bimrose & Bayne accuse the article of ignoring parts of the literature which were either not relevant, or were actually considered in the conduct of the study on which the article was based. Their methodological criticisms, which are considered particularly gratuitous, fall into two categories: those based upon misreading, and those which are so seriously undeveloped as to verge on the incomprehensible. The need for a clear rationale for theory in guidance is asserted, and it is not pretended that the article has achieved such a rationale. Bimrose & Bayne's views about what guidance is or might be are all very well, but do not yet amount to a convincing rationale either. It is suggested that there are closer parallels between the article and the views of its critics than they acknowledge.     

Preference for fixed-interval schedules of reinforcement

Pigeons were trained on a two-link concurrent chain schedule in which responding on either of two keys in the initial link occasionally produced a terminal link, signaled by a change in the color of that key and a darkening of the other. Further responding on the lighted key was reinforced with food according to a fixed-interval schedule. For one of the keys, this fixed interval was always 20 sec, while for the other it was held at values of 5, 14, 30, or 60 sec for several weeks. In the initial link, all pigeons responded relatively more often on the key with the shorter fixed interval than was predicted by the matching hypothesis. Responding in the initial link showed a large negative recency effect: pigeons responded less frequently on the key that provided their last reinforcement than predicted from the overall response rates.     

Assistive/rehabilitation technology, disability, and service delivery models

The United Nation's Millennium Development Goals do not explicitly articulate a focus on disability; similar failures in the past resulted in research, policy, and practice that are not generalizable and did not meet the needs of persons with disabilities since they were developed for an "average" population. Academics and professionals in health and other disciplines should have a knowledge base in evidence-based practices that improve well-being and participation of people with disabilities through effective service delivery of assistive technology. Grounded by a theoretical framework that incorporates a multivariate perspective of disability that is acknowledged in the convention on the rights of persons with disabilities and the World Health Organization's International Classification of Functioning, Disability and Health, we present a review of models of assistive technology service delivery and call for future syntheses of the fragmented evidence base that would permit a comparative effectiveness approach to evaluation.     

Bidding for delayed rewards: Accumulation as delay discounting,delay discounting as regulation,demand functions as corollary

In the accumulation paradigm animals press one manipulandum to accumulate pellets or seconds of access to food, and then press another manipulandum, or run some distance, to collect it. The accumulation may be interpreted as delay discounting, with the animals adjusting the distal amount to compensate for its distance or delay. The amount accumulated before being collected is a linear function of the distance or time that the experimental paradigm stipulates for collecting it. That linear function follows from the Unit‐Price/Unit‐Amount axiom. The inverse of the linear compensation functions gives a delay‐discount hyperbola. The advantages of the accumulation paradigm and analytic framework for delay discounting studies are noted. Compensation functions are then derived from a behavioral regulation model, which generalizes them to contexts where the individual's budget for response cost becomes over‐taxed. In turn, such compensation/regulation models lead directly to representative demand functions. In sum, regulation models provide a theoretical grounding for demand functions, compensation functions, and delay discounting hyperbolas. The parameter that links them is the unit amount k, the slope of the compensation function and of the discount function, the setpoint for consumption in a regulation model, and the ideal quantity consumed at minimal price in a demand analysis.     

A Ludic Appreciation of Mechner’s Aesthetics

The Psychological Record - We can imagine many of our emotions in our family pet: hunger, fear, anger, lust, and even the bonding that we call love. But not the appreciation of a sunset, sonnet,...     

Assistive/rehabilitation technology,disability, and service delivery models

The United Nation’s Millennium Development Goals do not explicitly articulate a focus on disability; similar failures in the past resulted in research, policy, and practice that are not generalizable and did not meet the needs of persons with disabilities since they were developed for an “average” population. Academics and professionals in health and other disciplines should have a knowledge base in evidence-based practices that improve well-being and participation of people with disabilities through effective service delivery of assistive technology. Grounded by a theoretical framework that incorporates a multivariate perspective of disability that is acknowledged in the convention on the rights of persons with disabilities and the World Health Organization’s International Classification of Functioning, Disability and Health, we present a review of models of assistive technology service delivery and call for future syntheses of the fragmented evidence base that would permit a comparative effectiveness approach to evaluation.     

The Structure of Scientific Evolution

Science is the construction and testing of systems that bind symbols to sensations according to rules. Material implication is the primary rule, providing the structure of definition, elaboration, delimitation, prediction, explanation, and control. The goal of science is not to secure truth, which is a binary function of accuracy, but rather to increase the information about data communicated by theory. This process is symmetric and thus entails an increase in the information about theory communicated by data. Important components in this communication are the elevation of data to the status of facts, the descent of models under the guidance of theory, and their close alignment through the evolving retroductive process. The information mutual to theory and data may be measured as the reduction in the entropy, or complexity, of the field of data given the model. It may also be measured as the reduction in the entropy of the field of models given the data. This symmetry explains the important status of parsimony (how thoroughly the data exploit what the model can say) alongside accuracy (how thoroughly the model represents what can be said about the data). Mutual information is increased by increasing model accuracy and parsimony, and by enlarging and refining the data field under purview.