the quality of environmental impact assessment (eia) findings, as a decision support system, has always been a function of the extent of its boundaries. meanwhile, boundaries of a study area can be delineated physically or non-physically according to the eia working units or methodologies. six case studies have been conducted to consider the study areas of variety of eias namely, visual, cumula...

What we see is a function not only of incoming stimulation, but of unconscious inferences in visual processing. Among the most powerful demonstrations of this are bistable events, but what causes the percepts of such events to switch? Beyond voluntary effort and stochastic processing, we explore the ways in which ongoing dynamic percepts may switch as a function of the content of brief, unconsc...

We develop the first algorithmic approach to compute provably good ordering policies for a multi-period, capacitated, stochastic inventory system facing stochastic non-stationary and correlated demands that evolve over time. Our approach is computationally efficient and guaranteed to produce a policy with total expected cost no more than twice that of an optimal policy. As part of our computati...

We introduce a Random Attention Model (RAM) allowing for a large class of stochastic consideration maps in the context of an otherwise canonical limited attention model for decision theory. This model relies on a new restriction on the stochastic consideration map, termed Monotonic Attention, which is intuitive and nests many recent contributions in the literature, is implied by the classical L...

Neural networks have been widely used as predictive models to fit data distribution, and they could be implemented through learning a collection of samples. In many applications, however, the given dataset may contain noisy samples or outliers which may result in a poor learner model in terms of generalization. This paper contributes to a development of robust stochastic configuration networks ...

By "simple situations" I mean those experimental designs commonly used in psychophysics, learning, and motivation, especially in studies intended to test one or another mathematical model. In fact, in this chapter only experiments for which the subject has two possible responses are discussed because mathematical theories are moderately well worked out only for these simple situations. Even the...