15,307 research outputs found
MABS validation through repeated execution and data mining analysis
No full textAgent Based Modelling is the most interesting and advanced approach for simulating a complex system: in a social context, the single parts and the whole are often very hard to describe in detail. Besides, there are agent based formalisms which allow to study the emergency of social behaviour with the creation and study of models, known as artificial societies. Thanks to the ever increasing computational power, it's been possible to use such models to create software, based on intelligent agents, which aggregate behaviour is complex and difficult to predict, and can be used in open and distributed systems. Data mining is born in the last decades in order to help users in finding useful knowledge from the otherwise overwhelming amount of data available nowadays from the web and the data collected every day by companies. Data Mining techniques can therefore be the keystone to reveal non-trivial knowledge expressed by the initial assumption used to build the micro-level of the model and the structure of the society of agents that emerged from the simulation
Safe Self-collision Avoidance for Versatile Robots Based on Bounded Potentials
No full textISSN:2511-125
Facades of the Libreria di San Marco in Venice, The: An Interpretation of the Design Process
No full text"A new work in which I propose an interpretation of the design process Sansovino used to create the magnificent facades of the Libreria di San Marco in Venice, a masterpiece of Renaissance architecture." Sent to Marquand librarian by author Dec. 202
Art without an Author: Vasari’s Lives and Michelangelo’s Death
No full textMonografia sulla rappresentazione di Michelangelo nelle due edizioni delle Vite, sulla storia del libro e la questione della sua paternitàBook dedicated to the representation of Michelangelo in Vasari's Lives of the Artists, to the history of the book, and to the problem of its authorshi
How to prevent crimes using earthquakes
Full text linkIn this chapter the author describes how techniques coming from earthquakes prediction has been used to produce successful mathematical models useful in preventing crimes
An automatically configured modular algorithm for post enrollment course timetabling
No full textTimetabling tasks form a widely studied type of resource schedulingproblem, with important real-world applications in schools, universitiesand other educational settings. In this work, we focus on postenrollmentcourse timetabling, the problem that was covered by Track2 of the recent 2nd International Timetabling Competition (ITC2007).Following an approach that makes strong use of automated explorationof a large design space of modular and highly parameterised stochasticlocal search algorithms for this problem, we have obtained a solver thatachieves consistently better performance than the top-ranked solverfrom the competition. This represents a substantial improvement inthe state of the art for post-enrollment course timetabling.<br/
An automatically configured modular algorithm for post enrollment course timetabling
No full textTimetabling tasks form a widely studied type of resource schedulingproblem, with important real-world applications in schools, universitiesand other educational settings. In this work, we focus on postenrollmentcourse timetabling, the problem that was covered by Track2 of the recent 2nd International Timetabling Competition (ITC2007).Following an approach that makes strong use of automated explorationof a large design space of modular and highly parameterised stochasticlocal search algorithms for this problem, we have obtained a solver thatachieves consistently better performance than the top-ranked solverfrom the competition. This represents a substantial improvement inthe state of the art for post-enrollment course timetabling.<br/
The Research Agenda: Marco Bassetto on the Quantitative Evaluation of Fiscal Policy Rules
No full textMarco Bassetto is a Senior Economist in the Economic Research Department at the Federal Reserve Bank of Chicago. He is interested in political-economy models of fiscal policy and in applications of game theory to the analysis of macroeconomic policy more in general. This piece reflects the personal views of the author and not necessarily those of the Federal Reserve Bank of Chicago or the Federal Reserve System.
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