YU ISSN 0561-7332 TABLE DES MATIERES 1 F. Herbut: State-dependent logical implication in quantum mechanics and, distant correlations 1 2. Lj. On multi-valued none. xpansive type mappings, coincidences and fixed points 9 3. I. Gutman: Two distance-based graph invariants and their relation in the case of unicyclic graphs 19 4. B. D. Vujanovie: Conservation laws of nonconservative dynamical systems via Hamel's variational principle 31 5. S. Pilipovie, B. Stankovie: Properties of ultradistributions having the 5-asymptotics 47 6. A. 'vie: On the distribution of zeros of a class of convolution functions 61 7. Olga Hac1216, Z. Ovcin: A variational principle in fuzzy metric spaces 73 8. V. V. Kozlov, V. Vujiele: A contribution to the theory of rheonomic systems 85 Ово дело је лиценцирано под условима лиценце Creative Commons - Attribution-Noncommercial-No Derivative Works 3.0 Serbia http://creativecommons.org/licenses/by-nc-nd/3.0/rs/deed.en

This is Philosophy of Mind presents students of philosophy with an accessible introduction to the core issues related to the philosophy of mind. Includes issues related to the mind-body problem, artificial intelligence, free will, the nature of consciousness, and more Written to be accessible to philosophy students early in their studies Features supplemental online resources on https://www.wiley.com/en-us/thisisphilosophy/thisisphilosophyofmindanintroduction and a frequently updated companion blog, at http://tipom.blogspot.com

'Anthony Hoekema brings to the study of biblical prophecy and eschatology a maturity that is rare among contemporary works on the subject. Free of sensationalism, he evinces a reverence for the Scriptures and a measured scholarship...One of the best studies on eschatology available.' ---Christianity Today

The theory of algebras, rings, and modules is one of the fundamental domains of modern mathematics. General algebra, more specifically non-commutative algebra, is poised for major advances in the twenty-first century (together with and in interaction with combinatorics), just as topology, analysis, and probability experienced in the twentieth century. This is the second volume of Algebras, Rings and Modules: Non-commutative Algebras and Rings by M. Hazewinkel and N. Gubarenis, a continuation stressing the more important recent results on advanced topics of the structural theory of associative algebras, rings and modules.

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The aim of the CEEMAS conference series is to provide a biennial forum for the presentation of multi-agent research and development results. With its p- ticular geographicalorientation towards Central and Eastern Europe, CEEMAS has become an internationally recognised event with participants from all over the world. After the successful CEEMAS conferences in St. Petersburg (1999), Cracow (2001) and Prague (2003), the 2005 CEEMAS conference takes place in Budapest. The programme committee of the conference series consists of est- lished researchers from the region and renowned international colleagues, sh- ing the prominent rank of CEEMAS among the leading events in multi-agent systems. In the very competitive ?eld of agent oriented conferences and workshops nowadays(suchasAAMAS,WI/IAT,EUMAS,CIA,MATES)thespecialpro?le of CEEMAS is that it is trying to bridge the gap between applied research achievements and theoretical research activities. Our ambition is to provide a forum for presenting theoretical research with an evident application potential, implemented application prototypes and their properties, as well as industrial case studies of successful (but also unsuccessful) agent technology deployments. This is why the CEEMAS proceedings volume provides a collection of research and application papers. The technical research paper section of the proceedings (see pages 11–499) contains pure research papers as well as research results in application settings while the application papers section (see pages 500–530) contains papers focused on application aspects. The goal is to demonstrate the real life value and commercial reality of multi-agent systems as well as to foster communication between academia and industry in this ?eld.

The application of intelligent imaging techniques to industrial vision problems is an evolving aspect of current machine vision research. Machine vision is a relatively new technology, more concerned with systems engineering than with computer science, and with much to offer the manufacturing industry in terms of improving efficiency, safety and product quality. Beginning with an introductory chapter on the basic concepts, the authors develop these ideas to describe intelligent imaging techniques for use in a new generation of industrial imaging systems. Sections cover the application of AI languages such as Prolog, the use of multi-media interfaces and multi-processor systems, external device control, and colour recognition. The text concludes with a discussion of several case studies that illustrate how intelligent machine vision techniques can be used in industrial applications.

Non-Aboriginal material.

Solving the linear equation system n x n can also be a problem for a computer, even when the number of equations and unknowns is relatively small (a few hundred). All existing methods are burdened by at least one of the following problems: 1) Complexity of computation expressed through the number of operations required to be done to obtaining solution; 2) Unrestricted growth of the size of the intermediate result, which causes overflow and underflow problems; 3) Changing the value of some coefficients in the input system, which causes the instability of the solution; 4) Require certain conditions for convergence, etc. In this paper an approximate and exact methods for solving a system of linear equations with an arbitrary number of equations and the same number of unknowns is presented. All the mentioned problems can be avoided by the proposed methods. It is possible to define an algorithm that does not solve the system of equations in the usual mathematical way, but still finds its exact solution in the exact number of steps already defined. The methods consist of simple computations that are not cumulative. At the same time, the number of operations is acceptable even for a relatively large number of equations and unknowns. In addition, the algorithms allows the process to start from an arbitrary initial n-tuple and always leads to the exact solution if it exists.