Our learning environment Science Assistments (www.scienceassistments.org; NSF-DRL# 0733286; NSFDGE# 0742503; NSF-DRL# 1008649; U.S. Dept of Ed.# R305A090170) scaffolds middle school students’ scientific processes, namely, hypothesizing, design of experiments, data interpretation, warranting claims with evidence, and communicating findings for Physical Science, Life Science, and Earth Science. W...

The design of a flexible parallel architecture for both the discrete relaxation labeling (DRL) algorithm and the probabilistic relaxation labeling (PRL) algorithm is addressed. Through the analysis of parallelism in the computational models of both algorithms, the parallel execution of the algorithms on a flexible parallel architecture i s presented. Three basic types of parallel operations are...

Deep Reinforcement Learning (DRL) is a trending field of research, showing great promise in challenging problems such as playing Atari, solving Go and controlling robots. While DRL agents perform well in practice we are still lacking the tools to analayze their performance. In this work we present the Semi-Aggregated MDP (SAMDP) model. A model best suited to describe policies exhibiting both sp...

Deep Reinforcement Learning (DRL) is a trending field of research, showing great promise in many challenging problems such as playing Atari, solving Go and controlling robots. While DRL agents perform well in practice we are still missing the tools to analayze their performance and visualize the temporal abstractions that they learn. In this paper, we present a novel method that automatically d...

Lesion studies show that the hippocampus is critically involved in timing behavior, but so far there has been little analysis of how it might encode time. We recorded the activity of 266 CA1 neurons, 51 CA3 neurons, and 219 entorhinal neurons from rats performing on a differential reinforcement of low rates (DRL) 15 sec schedule in which reinforcement was contingent on responses that occurred a...

Rhamnolipid biosurfactants produced mainly by Pseudomonas sp. had been reported to possess a wide range of potential industrial application. These biosurfactants are produced as monorhamnolipid (MRL) and di-rhamnolipid (DRL) congeners. The present study deals with rhamnolipid biosurfactants produced by three bacterial isolates from crude oil. Biosurfactants produced by one of the strains (named...

Deep reinforcement learning (DRL) methods such as the Deep Q-Network (DQN) have achieved state-of-the-art results in a variety of challenging, high-dimensional domains. This success is mainly attributed to the power of deep neural networks to learn rich domain representations for approximating the value function or policy. Batch reinforcement learning methods with linear representations, on the...

Scopolamine, a non-selective muscarinic receptor antagonist has widespread central nervous system effects. Muscarinic receptors located in the central nervous system play a vital role in the modulation of impulsivity. The objective of the current study was to evaluate the effect of scopolamine on impulsivity using differential-reinforcement-of-low-rate 72-s schedule (DRL-72s) and to demonstrate...