The current studies were designed to determine whether different intermittent schedules of reinforcement would have a differential effect on the skin conductance responses (SCRs) of children in the 8-12-year-old age range. Results of two experiments indicated that the amplitude of children's SCRs immediately following the occurrence of reinforcement were a function of the schedule of reinforcem...

The role of external reinforcement is an issue of much debate and uncertainty in perceptual learning research. Although it is commonly acknowledged that external reinforcement, such as performance feedback, can aid in perceptual learning (M. H. Herzog & M. Fahle, 1997), there are many examples in which it is not required (K. Ball & R. Sekuler, 1987; M. Fahle, S. Edelman, & T. Poggio, 1995; A. K...

BACKGROUND AND AIM: Poor oral health among children with impaired hearing has been reported frequently due to lack of communication skills and effective health educations. In this study, we assessed the effect of two training methods on short-term oral health outcomes among children with impaired hearing.METHODS: In this experimental study, 80 hearing impairment (HI) student aged 7-19 years old...

Rebar fracture in boundary elements of lightly reinforced shear walls in recent earthquake motivated research on the minimum longitudinal reinforcement applicable to shear walls. These researches lead to change in the ACI 318-19 requirement for minimum longitudinal reinforcement in boundary elements. New ACI 318 requirement increase minimum longitudinal reinforcement ratio for boundary elements...

In reinforcement learning for multi-step problems, the sparse nature of the feedback aggravates the difficulty of learning to perform. This paper explores the use of a reinforcement learning architecture, leading to a discussion of reinforcement learning in terms of feature abstraction, credit-assignment, and temporal-difference learning. Issues discussed include: the conditioning of the reinfo...

An emergence of intelligent behavior within a simple robotic agent is studied in this paper. Two control mechanisms for an agent are considered — new direction of reinforcement learning called relational reinforcement learning, and a radial basis function neural network trained by evolutionary algorithm. Relational reinforcement learning is a new interdisciplinary approach combining logical pro...

Positive and negative reinforcement are effective for treating escape-maintained destructive behavior. The current study evaluated the separate and combined effects of these contingencies to increase task compliance. Results showed that a combination of positive and negative reinforcement was most effective for increasing compliance.