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Time in Quantum Mechanics

J.G. Muga ; R. Sala Mayato ; Í.L. Egusquiza (eds.)

Second Edition.

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

Quantum Physics; Measurement Science and Instrumentation

Disponibilidad
Institución detectada Año de publicación Navegá Descargá Solicitá
No detectada 2008 SpringerLink

Información

Tipo de recurso:

libros

ISBN impreso

978-3-540-73472-7

ISBN electrónico

978-3-540-73473-4

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Información sobre derechos de publicación

© Springer-Verlag Berlin Heidelberg 2002 2008

Cobertura temática

Tabla de contenidos

Experimental Issues in Quantum–Mechanical Time Measurement

Aephraim M. Steinberg

The objective of this paper is to present the grand schemes of a model to be used in an agricultural Decision support System. We start by explaining and justifying the need for a hybrid system that uses both Multi-Agent System and Constraint Programming paradigms. Then we show our approach for Constraint Programming and Multi-Agent System mixing based on the concept of . Also, we present some concrete constraints and agents to be used in an application based on our proposed approach for modeling the problem of water use for agricultural purposes.

Pp. 333-353

Microwave Experiments on Tunneling Time

Daniela Mugnai; Anedio Ranfagni

The objective of this paper is to present the grand schemes of a model to be used in an agricultural Decision support System. We start by explaining and justifying the need for a hybrid system that uses both Multi-Agent System and Constraint Programming paradigms. Then we show our approach for Constraint Programming and Multi-Agent System mixing based on the concept of . Also, we present some concrete constraints and agents to be used in an application based on our proposed approach for modeling the problem of water use for agricultural purposes.

Pp. 355-397

The Two-State Vector Formalism: An Updated Review

Yakir Aharonov; Lev Vaidman

The objective of this paper is to present the grand schemes of a model to be used in an agricultural Decision support System. We start by explaining and justifying the need for a hybrid system that uses both Multi-Agent System and Constraint Programming paradigms. Then we show our approach for Constraint Programming and Multi-Agent System mixing based on the concept of . Also, we present some concrete constraints and agents to be used in an application based on our proposed approach for modeling the problem of water use for agricultural purposes.

Pp. 399-447