Evaluating Jason for Distributed Crowd Simulations

Large-scale crowd simulations require distributed computer architectures and efficient parallel techniques to achieve the rendering of visually plausible images while simulating the behaviour of crowds of autonomous agents. The Java-based multiagent platforms, devoted to provide the agents with the required lifecycle, represent a key middleware in crowd systems. However, since they are oriented to maximize portability and to reduce the development cost, they may reduce performance and scalability, two important requirements in large-scale crowd simulation systems. This paper studies the performance and scalability provided by Jason, a well known Java-based BDI-MAS platform, as a plausible framework to be used for large-scale crowd simulations. The performance evaluation results show that some improvements should be performed in order to make Jason a suitable middleware for large-scale crowd simulations.

• Publication year

  2010

• Venue

  International Conference on Agents and Artificial Intelligence

• Publication date

  Unknown publication date

• Fields of study

  Computer Science

• Identifiers
  DOI 10.5220/0002729802060211
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Virtual Crowds: Methods, Simulation, and Control

  2008cited by this paper
• Programming multi-agent systems in AgentSpeak using Jason : a practical introduction with Jason

  2008cited by this paper
• On the Design of an Efficient Architecture for Supporting Large Crowds of Autonomous Agents

  2007cited by this paper
• Big fast crowds on PS3

  2006cited by this paper
• Continuum crowds

  2006cited by this paper
• Performance evaluation of open-source multiagent platforms

  2006cited by this paper
• JADE - A Java Agent Development Framework

  2005cited by this paper
• Parallel simulation of group behaviors

  2004cited by this paper
• Scalability and Per-formance of JADE Message Transport System

  2002cited by this paper
• Levels of Detail for Crowds and Groups

  2002cited by this paper
• Specification of the KQML Agent-Communication Language

  1993cited by this paper
• Flocks, herds, and schools: a distributed behavioral model

  1987cited by this paper

• A framework for modeling human behavior in large-scale agent-based epidemic simulations

  2023cites this paper
• Scalable multi agent system middleware for HPC of Big Data Applications

  2020cites this paper
• Towards a New Micro Agents Middleware for Massively Distributed Systems

  2018cites this paper
• A framework for modelling the ripple effect of crowding at public transport facilities

  2017cites this paper
• Evaluating fault tolerance approaches in multi-agent systems

  2015cites this paper
• Towards a Simulator of Integrated Long-Term Care Systems for Elderly People

  2014cites this paper
• Computing Platforms for Large-Scale Multi-Agent Simulations: The Niche for Heterogeneous Systems

  2014cites this paper
• Characterization of the Jason multiagent platform on multicore processors

  2014cites this paper
• Benchmarking communication in actor- and agent-based languages

  2013cites this paper
• A scalable multiagent platform for large systems

  2013cites this paper
• Achieving interactive multiagent simulations over Jason through Java adjusting

  2011influential citation
• A feature model of actor, agent, and object programming languages

  2011influential citation
• Tuning Java to Run Interactive Multiagent Simulations over Jason

  2010influential citation