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Modeling and Simulation of Complex Systems
Modeling and Simulation of Complex Systems
206,63
229,59 €
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Robert Siegfried presents a framework for efficient agent-based modeling and simulation of complex systems. He compares different approaches for describing structure and dynamics of agent-based models in detail. Based on this evaluation the author introduces the "General Reference Model for Agent-based Modeling and Simulation" (GRAMS). Furthermore he presents parallel and distributed simulation approaches for execution of agent-based models -from small scale to very large scale. The author show…
229.59
  • Publisher:
  • Year: 2014
  • Pages: 227
  • ISBN-10: 3658075287
  • ISBN-13: 9783658075286
  • Format: 14.8 x 21 x 1.3 cm, minkšti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

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Robert Siegfried presents a framework for efficient agent-based modeling and simulation of complex systems. He compares different approaches for describing structure and dynamics of agent-based models in detail. Based on this evaluation the author introduces the "General Reference Model for Agent-based Modeling and Simulation" (GRAMS). Furthermore he presents parallel and distributed simulation approaches for execution of agent-based models -from small scale to very large scale. The author shows how agent-based models may be executed by different simulation engines that utilize underlying hardware resources in an optimized fashion.

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  • Author: Robert Siegfried
  • Publisher:
  • Year: 2014
  • Pages: 227
  • ISBN-10: 3658075287
  • ISBN-13: 9783658075286
  • Format: 14.8 x 21 x 1.3 cm, minkšti viršeliai
  • Language: English English

Robert Siegfried presents a framework for efficient agent-based modeling and simulation of complex systems. He compares different approaches for describing structure and dynamics of agent-based models in detail. Based on this evaluation the author introduces the "General Reference Model for Agent-based Modeling and Simulation" (GRAMS). Furthermore he presents parallel and distributed simulation approaches for execution of agent-based models -from small scale to very large scale. The author shows how agent-based models may be executed by different simulation engines that utilize underlying hardware resources in an optimized fashion.

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