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Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), 2002
The paper introduces a new paradigm in the broad family of software agents. It is called soft computing agents (SCA) that combines the advantages of soft computing technology with the software agents paradigm as universal optimal resource allocation techniques. SCA is oriented to improve the quality of service QoS and endows intelligent agents with the
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The paper introduces a new paradigm in the broad family of software agents. It is called soft computing agents (SCA) that combines the advantages of soft computing technology with the software agents paradigm as universal optimal resource allocation techniques. SCA is oriented to improve the quality of service QoS and endows intelligent agents with the
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2015
In this chapter, the basic characteristics of artificial neural networks and genetic algorithms are presented. Artificial neural networks and genetic algorithms, as techniques of artificial intelligence, demonstrate powerful problem-solving ability. They are based on quite simple principles, but take advantage of their mathematical nature based on non ...
Dragan Aleksendrić, Pierpaolo Carlone
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In this chapter, the basic characteristics of artificial neural networks and genetic algorithms are presented. Artificial neural networks and genetic algorithms, as techniques of artificial intelligence, demonstrate powerful problem-solving ability. They are based on quite simple principles, but take advantage of their mathematical nature based on non ...
Dragan Aleksendrić, Pierpaolo Carlone
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2004
The formalizations of modeling are only useful if they succeed in seizing the essential features of the dynamic system under test. They permit extrapolations that allows one to generalize, often correctly, from past experience to future events from which we can learn how the dynamic system can be manipulated for ones purposes, which is a kind of ...
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The formalizations of modeling are only useful if they succeed in seizing the essential features of the dynamic system under test. They permit extrapolations that allows one to generalize, often correctly, from past experience to future events from which we can learn how the dynamic system can be manipulated for ones purposes, which is a kind of ...
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2012
Il soft computing è un insieme di metodologie di calcolo progettate per definire e risolvere problemi del mondo reale che non sono modellabili matematicamente ovvero sono troppo difficili da modellare attraverso strumenti matematici tradizionali. E’ l’elemento fondamentale della moderna intelligenza computazionale.
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Il soft computing è un insieme di metodologie di calcolo progettate per definire e risolvere problemi del mondo reale che non sono modellabili matematicamente ovvero sono troppo difficili da modellare attraverso strumenti matematici tradizionali. E’ l’elemento fondamentale della moderna intelligenza computazionale.
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Soft Computing Applications (Advances in Intelligent and Soft Computing)
2003The papers collected in this book are concerned with the application of the so-called "soft-computing" techniques to the aim of defining flexible systems. The topics covered witness the actual research trend towards an integration of distinct formal techniques for defining flexible systems. The contributions in this volume mainly concern the definition
BONARINI, ANDREA, F. Masulli, G. Pasi
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Molecular imaging in oncology: Current impact and future directions
Ca-A Cancer Journal for Clinicians, 2022Steven P Rowe, Martin G Pomper
exaly