Catálogo de publicaciones - libros
Digital Design of Nature: Computer Generated Plants and Organics
Oliver Deussen Bernd Lintermann
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
No disponibles.
Disponibilidad
| Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No detectada | 2005 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-3-540-40591-7
ISBN electrónico
978-3-540-27104-8
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2005
Información sobre derechos de publicación
© Springer-Verlag Berlin Heidelberg 2005
Cobertura temática
Tabla de contenidos
Landscape Sketches
Oliver Deussen; Bernd Lintermann
The Trading Agent Competition (TAC) is an international forum which promotes high quality research regarding the trading agent problem. One of the TAC competitive scenarios is Supply Chain Management (SCM) where six agents compete by buying components, assembling PCs from these components and selling the assembled PCs to customers. In this paper, we describe the strategies implemented in the CrocodileAgent, our entry in 2005 TAC SCM. We describe the structure and functionalities of the CrocodileAgent, the implementation of the basic agent tasks, and algorithms for ordering components and determining the profit margin. The agent’s performances in the 2005 TAC SCM competition, as well as in a series of controlled experiments, are discussed.
Pp. 201-225
Media Art
Oliver Deussen; Bernd Lintermann
The Trading Agent Competition (TAC) is an international forum which promotes high quality research regarding the trading agent problem. One of the TAC competitive scenarios is Supply Chain Management (SCM) where six agents compete by buying components, assembling PCs from these components and selling the assembled PCs to customers. In this paper, we describe the strategies implemented in the CrocodileAgent, our entry in 2005 TAC SCM. We describe the structure and functionalities of the CrocodileAgent, the implementation of the basic agent tasks, and algorithms for ordering components and determining the profit margin. The agent’s performances in the 2005 TAC SCM competition, as well as in a series of controlled experiments, are discussed.
Pp. 227-249