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The Agent Modeling Language: A Comprehensive Approach to Modeling Multi-Agent Systems

Radovan Cervenka Ivan Trencansky

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Institución detectada Año de publicación Navegá Descargá Solicitá
No detectada 2007 SpringerLink

Información

Tipo de recurso:

libros

ISBN impreso

978-3-7643-8395-4

ISBN electrónico

978-3-7643-8396-1

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Información sobre derechos de publicación

© Birkhäuser Verlag AG 2007

Tabla de contenidos

Behaviors

Radovan Cervenka; Ivan Trencansky

The package defines the metaclasses used to model behavioral aspects of multi-agent systems.

Part III: - AML Specification | Pp. 175-259

Mental

Radovan Cervenka; Ivan Trencansky

The package defines the metaclasses which can be used to:

Part III: - AML Specification | Pp. 261-298

Ontologies

Radovan Cervenka; Ivan Trencansky

The package defines the metaclasses used to model ontologies. AML allows the specification of class-level as well as instancelevel ontologies.

Part III: - AML Specification | Pp. 299-302

Model Management

Radovan Cervenka; Ivan Trencansky

The package defines the generic-purpose modeling constructs which can be used to structure AML models and thus manage their complexity and understandability.

Part III: - AML Specification | Pp. 303-306

UML Extension for AML

Radovan Cervenka; Ivan Trencansky

The package adds the meta-properties defined in the AML Kernel package to the standard UML 2.0 Superstructure metaclasses. It is a non-conservative extension of UML, and is an optional part of the language.

Part III: - AML Specification | Pp. 307-309

Diagrams

Radovan Cervenka; Ivan Trencansky

AML extends the UML 2.0 notation of the diagram frames by:

Part III: - AML Specification | Pp. 311-315

Extension of OCL

Radovan Cervenka; Ivan Trencansky

Formal models of MAS usually use different types of modal family logics to describe the system. Our intention is to allow such expressions to be used within OCL expressions.

Part III: - AML Specification | Pp. 317-319

Conclusions

Radovan Cervenka; Ivan Trencansky

Agent-oriented software engineering is a new software engineering paradigm that has appeared in recent years. It is a promising approach to the development of distributed, open, heterogeneous, highly dynamic, and intelligent systems. One of the current areas of interest is the specification and dissemination of agent-based development methodologies that provide software engineers with the means to create organized, repeatable and high-quality process for the development of multi-agent systems.

Part IV: - Final Remarks | Pp. 323-330

Further Work

Radovan Cervenka; Ivan Trencansky

Despite our confidence in the current state of AML and generally positive feedback from the AOSE community, we realize that AML is not yet complete. It is subject to continuous reviews and improvements which lead to enhancements of the language itself, its documentation, and related artifacts. Continuous, iterative improvement of AML, e.g. by providing flexible incorporation of user’s findings and change requests into the language specification, can satisfy its users and therefore support dissemination and widespread use of AML.

Part IV: - Final Remarks | Pp. 331-335