18,888 research outputs found

    Real-time Planning as Decision-making Under Uncertainty

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    In real-time planning, an agent must select the next action to take within a fixed time bound. Many popular real-time heuristic search methods approach this by expanding nodes using time-limited A* and selecting the action leading toward the frontier node with the lowest f value. In this thesis, we reconsider real-time planning as a problem of decision-making under uncertainty. We treat heuristic values as uncertain evidence and we explore several backup methods for aggregating this evidence. We then propose a novel lookahead strategy that expands nodes to minimize risk, the expected regret in case a non-optimal action is chosen. We evaluate these methods in a simple synthetic benchmark and the sliding tile puzzle and find that they outperform previous methods. This work illustrates how uncertainty can arise even when solving deterministic planning problems, due to the inherent ignorance of time-limited search algorithms about those portions of the state space that they have not computed, and how an agent can benefit from explicitly meta-reasoning about this uncertainty

    Should we be surprised by the unreliability of real-time output gap estimates? Density estimates for the Euro area

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    Recent work has found that, without the benefit of hindsight, it can prove difficult for policy-makers to pin down accurately the current position of the output gap; real-time estimates are unreliable. However, attention primarily has focused on output gap point estimates alone. But point forecasts are better seen as the central points of ranges of uncertainty; therefore some revision to real-time estimates may not be surprising. To capture uncertainty fully density forecasts should be used. This paper introduces, motivates and discusses the idea of evaluating the quality of real-time density estimates of the output gap. It also introduces density forecast combination as a practical means to overcome problems associated with uncertainty over the appropriate output gap estimator. An application to the Euro area illustrates the use of the techniques. Simulated out-of-sample experiments reveal that not only can real-time point estimates of the Euro area output gap be unreliable, but so can measures of uncertainty associated with them. The implications for policy-makers use of Taylor-type rules are discussed and illustrated. We find that Taylor-rules that exploit real-time output gap density estimates can provide reliable forecasts of the ECB's monetary policy stance only when alternative density forecasts are combinedOutput gap; Real-Time; Density Forecasts; Density Forecast Combination; Taylor Rules

    Idempotent rank in the endomorphism monoid of a non-uniform partition

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    We calculate the rank and idempotent rank of the semigroup E(X,P)E(X,P) generated by the idempotents of the semigroup T(X,P)T(X,P), which consists of all transformations of the finite set XX preserving a non-uniform partition PP. We also classify and enumerate the idempotent generating sets of this minimal possible size. This extends results of the first two authors in the uniform case.Comment: 12 pages; 4 figure

    Insights into business confidence from firm-level panel data

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    Business confidence announcements attract widespread attention, yet relatively little is known about the series itself. What, for example, does an improvement or deterioration in business confidence mean? We consider this question using a panel of firm-level responses to a business opinion survey that includes a question on business confidence. We relate the confidence responses of the firms to microeconomic and macroeconomic variables that have a direct interpretation and, as a result, determine the variables that firms associate with business confidence. Our analysis of firm-level data reveals that what firms associate with business confidence changes over time and means different things to different firms. Consequently, it is not immediately apparent what a change in business confidence actually means

    The number of nilpotent semigroups of degree 3

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    A semigroup is \emph{nilpotent} of degree 3 if it has a zero, every product of 3 elements equals the zero, and some product of 2 elements is non-zero. It is part of the folklore of semigroup theory that almost all finite semigroups are nilpotent of degree 3. We give formulae for the number of nilpotent semigroups of degree 3 with nNn\in\N elements up to equality, isomorphism, and isomorphism or anti-isomorphism. Likewise, we give formulae for the number of nilpotent commutative semigroups with nn elements up to equality and up to isomorphism

    Automation of the Continuous Coagulation Monitor

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    The development of automation in the past 50 years has paralleled the accelerating growth of today’s vast technological society. Automatic control systems are indispensable extensions of man\u27s brain that enable him to monitor and regulate his complex environment. The principles of automatic control have a wide range of applications and interests in virtually every scientific field. The need for automatic control systems in vital applications of environmental engineering is both real and urgent. Extensive pollution has resulted in unavoidable water re-use and in the inevitable establishment of stringent effluent standards. Both water and wastewater treatment processes have necessarily become more advanced and complicated. Automation can reliably provide the critical, sophisticated control required to maintain adequate treatment. In his pollution abatement or water quality program, the environmental engineer can employ automatic control systems to continuously and accurately monitor contaminant levels or the removal efficiencies of treatment processes and to effect rapid responses when treatment adjustment becomes necessary by automatically adjusting processes

    Reconsidering the evidence: Are Eurozone business cycles converging

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    This paper, using 40 years of monthly industrial production data, examines the relationship between the business cycles of the 12 Eurozone countries. Since estimates of the business cycle have been found to be sensitive to how the cycle is measured, a range of alternative measures are considered. We focus on both parametric and nonparametric univariate measures of the ‘classical’ and ‘growth’ cycles. We then investigate whether Eurozone business cycles have converged. This is based on an analysis of the distribution of bivariate correlation coefficients between the 12 countries’ business cycles. This extends previous work that has tested for convergence, in a similar manner by focusing on correlation, but has not considered the entire distribution, instead focusing on the mean correlation coefficient or particular bivariate correlation coefficients. Although empirical inference about individual Eurozone business cycles is found to be sensitive to the measure of the business cycle considered, our measure of convergence between the Eurozone business cycles exhibits common features across the alternative measures of the business cycle. Interestingly, we find that there have been periods of convergence, identified by the distribution tending to unity, and periods of divergence. Although further data are required to corroborate the story, there is evidence to suggest that the Euro-zone has entered a period of convergence after the clear period of divergence in the early 1990s in the aftermath of German unification and at the time of the currency crises in Europe. This is encouraging for the successful operation of a common monetary policy in the Eurozone. --
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