Planning and learning at multiple levels of tempo ral abstraction is a key problem for arti cial intelli gence In this paper we summarize an approach to this problem based on the mathematical framework of Markov decision processes and reinforcement learn ing Conventional model based reinforcement learning uses primitive actions that last one time step and that can be modeled independently of th...

The paper addresses the problem of plan repair for tasks involving mandatory constraints on consumable and continuous resources, modeled as numeric fluents. The approach starts by proposing a new notion of numeric macro actions allowing to handle as an extension to the classical macro action formulation conditions and operations not only on the propositional fragment, but also on the numeric on...

The purpose of this paper is to describe a cognitive model of team collaboration emphasizing the human decision-making processes used during team collaboration. The descriptive model includes the domain characteristics, collaboration stages, metaand macro cognitive processes and the mechanisms for achieving the stages and cognitive processes. Two experiments were designed to provide empirical d...

Multilevel modeling has become a common analytic technique across a variety of disciplines including medicine and the social and behavioral sciences. However, because many researchers who use multilevel modeling in their research do not report if the data were screened for potential violations of distributional assumptions and outliers, it is unclear if these diagnostic procedures are being con...

Rapid progress in distributed computing have provided collaborative studies and essential compute power for science, and made data administration a critical challenge in this area. Scientific applications have become more data intensive; moreover, data management happens to be more demanding than computational requirements in terms of needed resources. There have been many recent studies invest...

This paper presents evidence that the age structure of the workforce matters for productivity. At first glance, this is unsurprising because standard Mincerian wage regressions show that workers with more schooling and more experience receive higher wages. If workers earn their marginal product, then the wage differential described by the Mincer evidence is a measure of the productivity differe...

The economy is populated by a large number of infinitely lived agents. These agents are identical, and so we can effectively treat them as one. These agents consume, save in physical capital, and supply one unit of labor each period inelastically. Time runs from t = 0, . . . ,∞. The population at each point in time is Nt = (1+n) N0, with N0 given. Households get flow utility from consumption, C...

We propose an improved power macro-model for arithmetic datapath components, which is based on spatio-temporal correlations of two consecutive input vectors and the output vector. Based on the enhanced Hamming-distance model [3], we introduce an additional spatial distance for the input vector and the Hamming-distance of the output vector to improve model accuracy significantly. Experimental re...