Safety and Security in Multiagent Systems: Research Results by Anita Raja, Michael Barley, Xiaoqin Shelley Zhang (auth.),

By Anita Raja, Michael Barley, Xiaoqin Shelley Zhang (auth.), Mike Barley, Haralambos Mouratidis, Amy Unruh, Diana Spears, Paul Scerri, Fabio Massacci (eds.)

The security and safety in Multiagent platforms (SASEMAS) sequence of workshops that came about from 2004-2006 supplied a discussion board for the alternate of principles and dialogue on components on the topic of the security and safety of multiagent structures. particularly, the workshops explored concerns with regards to the advance and deployment of secure and safe brokers and multiagents platforms with themes starting from definitions of security and safety for unmarried brokers or complete structures to verification/validation of agent and multiagent structures to layout, mechanisms and deployment to consumer standards, agent habit, and trust.

This e-book comprises 22 papers grouped into 5 major sections in keeping with the subsequent issues: methodological methods to high-assurance platforms, prevention and reaction to harm/failures, stochastic methods to predictability and unpredictability, security and safety in human-computer interactions, and self-protection.

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Extra resources for Safety and Security in Multiagent Systems: Research Results from 2004-2006

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Reasoning with Goal Models. , Kambayashi, Y. ) ER 2002. LNCS, vol. 2503, p. 167. Springer, Heidelberg (2002) 5. : Nemo: An Agent-Oriented Software Engineering Methodology. In: Proceedings of OOPSLA Workshop on Agent-Oriented Methodologies, John Debenham, Brian Henderson-Sellers, Nicholas Jennings and James Odell, Seattle, USA (November 2002) 6. : Agent–Oriented Software Engineering. , Boman, M. ) MAAMAW 1999. LNCS, vol. 1647. Springer, Heidelberg (1999) 7. : A Goal-Based Organizational Perspective on Multi-Agent Architectures.

This work was in part funded by the Deutsche Forschungsgemeinschaft (DFG, German research council) within the priority research program (SPP) no. 1083. M. Barley et al. ): SASEMAS 2004-2006, LNAI 4324, pp. 27–48, 2009. C. Lockemann and J. Nimis Generally speaking, we call a software agent dependable if it maintains its service according to specifications even if disturbances occur within the agent. We call a multiagent system dependable if its constituent agents are dependable and the system as a whole meets its objectives at all times.

2). , the state reached after servicing the request is identical to the regular state. , the state coincides with the state prior to the request because the fault simply caused the request to be ignored. A bit worse, servicing the request may reach a state that while no longer meeting the specification may still allow the service requestor a suitable continuation of its work (sustainable state). All three states meet the definition of dependability. At worst, the outcome may be a state that is plainly incorrect if not outright disastrous.

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