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What is Agent-Based Simulation

Handbook of Research on Nature-Inspired Computing for Economics and Management
A collection of autonomous, heterogeneous, intelligent, and interacting software agents, which operate and exist in an environment. These software agents interact with each other in a non-linear manner with little or no central direction. The large-scale effects determined by the locally interacting agents are called emergent properties of the system. The main goal of agent-based simulation is to enrich the understanding of fundamental processes regulating and determining dynamics of complex adaptive systems.
Published in Chapter:
Competitive Advantage of Geographical Clusters
V. Albino (Politecnico di Bari, Italy)
DOI: 10.4018/978-1-59140-984-7.ch022
This chapter deals with complexity science issues from two sides: from one side, it uses complexity science concepts to give new contributions to the theoretical understanding of geographical clusters (GCs); from the other side, it presents an application of complexity science tools such as emergent (bottom-up) simulation, using agent-based modeling to study the sources of GC competitive advantage. Referring to the first direction, complexity science is used as a conceptual framework to identify the key structural conditions of GCs that give them the adaptive capacity, so assuring their competitive advantage. Regarding the methodological approach, the agent-based simulation is used to analyze the dynamics of GCs. To this aim, we model the main characteristics of GCs and carry out a simulation analysis to observe that the behaviors of GCs are coherent with the propositions built up on the basis of complexity science literature.
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Multi-Agent Simulation and Management Practices
Agent-based simulations are a relatively recent addition to the set of decision support tools. Agent-based simulation extends earlier simulation techniques by allowing the entities that are simulated to make “autonomous decisions” and to “negotiate” with other agents. For example, sales staff may decide when to take break times depending on how busy the shop is.
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Introduction to Multi-Agent Simulation
Agent-based simulation is a bottom-up approach for modelling system changes over time. In an agent-based simulation model the researcher explicitly describes the decision process of simulated actors at the micro level. Structures emerge at the macro level as a result of the actions of the agents and their interactions with other agents and the environment.
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Can Computers Understand Picture Books and Comics?
Simulation to investigate actions and interactions between autonomous agents.
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An Agent-Based Approach to Designing VO
A computer simulation where simulated entities are modeled in terms of agents interacting with each other and with their environment.
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Simulation for Supporting Business Engineering of Service Networks
Simulates organizations as interacting autonomous entities with their own interests and goals.
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