By Juan Carlos Augusto (auth.), Joaquim Filipe, Ana Fred, Bernadette Sharp (eds.)
The current ebook contains a set of chosen papers from the 1st overseas Conf- ence on brokers and synthetic Intelligence (ICAART 2009), held in Porto, Portugal, in the course of January 19–21, 2009. The convention used to be prepared in simultaneous tracks: “Artificial Intelligence and Agents.” The e-book is predicated at the related constitution. ICAART 2009 acquired 161 paper submissions, from greater than 37 assorted co- attempts in all continents. After a blind evaluation technique, merely 26 the place accredited as complete papers, of which 21 have been chosen for inclusion during this publication, according to the classifi- tions supplied by means of this system Committee. the chosen papers mirror the interdis- plinary nature of the convention. the variety of issues is a crucial function of this convention, permitting an total belief of a number of very important medical and tech- logical developments. those fine quality criteria should be maintained and strengthened at ICAART 2010, to be held in Valencia, Spain, and in destiny versions of this conf- ence. in addition, ICAART 2009 integrated 5 plenary keynote lectures given by means of Juan Carlos Augusto (University of Ulster), Marco Dorigo (IRIDIA, loose college of Brussels), Timo Honkela (Helsinki collage of Technology), Edward H. Shortliffe (Arizona nation collage) and Paulo Urbano (University of Lisbon). we want to precise our appreciation to them all and specifically to those that took the time to give a contribution with a paper to this book.
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Extra resources for Agents and Artificial Intelligence: International Conference, ICAART 2009, Porto, Portugal, January 19-21, 2009. Revised Selected Papers
However, because there are many other factors that influence the attachment as well, the difference in delinquency only causes a minor change in attachment. The formal ontology used for the model is shown in Table 1. As can be seen, the concepts of influenceability, dominance, attachment, and delinquency are modelled as a real number between 0 and 1. Furthermore, the age is modelled as an integer between 12 and 17, and the delta delinquency as a real number between -1 and 1. For a complete overview of the simulation model, see the appendix1.
An overview of quantitative EEG and its applications to neurofeedback. , Abarbanel, A. ) Introduction to Quantitative EEG and Neurofeedback. Academic Press, London (1999) 5. : Probabilistic assessment of user’s emotions in educational games. Journal of Applied Artificial Intelligence (2002) 6. : How to evaluate models of user affect? , Heisterkamp, P. ) ADS 2004. LNCS (LNAI), vol. 3068, pp. 288–300. Springer, Heidelberg (2004) 7. : Data-driven Refinement of a Probabilistic Model of User Affect.
Morgan Kaufmann, San Francisco (2005) 23. : How to evaluate accuracy. de Abstract. The Game Description Language (GDL) has been developed for the purpose of formalizing game rules. It serves as the input language for general game players, which are systems that learn to play previously unknown games without human intervention. In this paper, we show how GDL descriptions can be interpreted as multiagent domains and, conversely, how a large class of multiagent environments can be specified in GDL.
Agents and Artificial Intelligence: International Conference, ICAART 2009, Porto, Portugal, January 19-21, 2009. Revised Selected Papers by Juan Carlos Augusto (auth.), Joaquim Filipe, Ana Fred, Bernadette Sharp (eds.)