Book Chapter10.1007/11734680_13
Visual modeling for complex agent-based simulation systems
Candelaria Sansores,Juan Pavón,Jorge J. Gómez-Sanz +2 more
- 25 Jul 2005
- pp 174-189
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TL;DR: In this paper, the authors propose a visual language for agent-based simulation, which is based on well established concepts of agent-oriented software engineering, and more concretely on the INGENIAS methodology.
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Abstract: Currently there is a diversity of tools for agent-based simulation, which can be applied to the understanding of social phenomena. Describing this kind of phenomena with a visual language can facilitate the use of these tools by users who are not necessarily experts in computer programming, but in social sciences. With this purpose, we propose to define such visual language, which is based on well established concepts of agent-oriented software engineering, and more concretely on the INGENIAS methodology. The proposed language is independent of any particular simulation platform and, by using INGENIAS code generation support, it is possible to generate implementations for the desired target platforms. Also, we consider that modeling should be application domain oriented and that a generic language itself does not suffice. Thus, we discuss at the end how specific domain simulation environments could be achieved.
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Citations
Modelado de sistemas complejos mediante simulación basada en agentes y mediante dinámica de sistemas
TL;DR: In this article, the authors compare two approaches in complex systems modelling: agent-based modelling and system dynamics, and argue that the most important difference between the two approaches appears when the modeller builds an abstraction of the target system to develop a formal model from it.
Model-driven agent-based simulation development: A modeling language and empirical evaluation in the adaptive traffic signal control domain
TL;DR: An MDD approach, composed of a modeling language and model-to-code transformations for producing runnable simulations automatically, is proposed for agent-based modeling and simulation in the adaptive traffic signal control domain, in which autonomous agents are in charge of managing traffic light indicators to optimize traffic flow.
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Deepening the Demographic Mechanisms in a Data-Driven Social Simulation of Moral Values Evolution
Samer Hassan,Luis Antunes,Millán Arroyo +2 more
- 30 Apr 2009
TL;DR: This work focuses on improving the demographic mechanisms so that the system output follows the evolution of Spanish population, and raises the amount of quantitative input information of the system, improve its statistical distributions, and change the time of evolution.
Checking Simulations: Detecting and Avoiding Errors and Artefacts
José Manuel Galán,Luis Izquierdo,Segismundo S. Izquierdo,José Ignacio Santos,Ricardo del Olmo,Adolfo López-Paredes +5 more
- 01 Jan 2013
TL;DR: This chapter establishes a general framework that summarises the process of designing, implementing, and using agent-based models and proposes several activities that can be conducted to detect each type of error and artefact.
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References
•Book
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Jacques Ferber
- 01 Feb 1999
TL;DR: Jacques Ferber's authoritative book is the first to provide a single, coherent overview of multi-agent systems, and introduces and defines key concepts throughout the text.
3K
Emergence From Chaos to Order
John H. Holland
- 29 Oct 1998
TL;DR: The book "Emergence From Chaos to Order" introduces the theory of emergence and explores its application to various systems, including human-made and natural ones.
904
Agent oriented software engineering with INGENIAS
Juan Pavón,Jorge J. Gómez-Sanz +1 more
TL;DR: INGENIAS is the result of the experience developing MAS in different areas, such as workflow management systems, recommender systems, Robocode teams, and PC assistants.
344
Multi-agent based simulation: where are the agents?
Alexis Drogoul,Diane Vanbergue,Thomas Meurisse +2 more
- 15 Jul 2002
TL;DR: It is shown that MABS, despite its name, is in fact rarely based on computational agents, and the notion of "agent", although shared at a conceptual level by the different participants, does not imply a systematic use of computational agents in the systems deployed.
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