Design Pattern for Self-Organization Multi-agent Systems Based on Policy

Guo, Yi; Mao, Xinjun; Hu, Cuiyun

doi:10.1109/trustcom.2011.218

Cited by 2 publications

(3 citation statements)

References 16 publications

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“…A second cluster is built around bio-inspired concepts such as pheromones, ants, and stigmergy. This cluster includes recent patterns related to self-organization and adaptive behavior: [20,17,12,27,24,11,48].…”

Section: How Are the Design Patterns Connected? (Rq2)mentioning

confidence: 99%

Design Patterns for Multi-agent Systems: A Systematic Literature Review

Juziuk

Weyns

Holvoet

2014

Agent-Oriented Software Engineering

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Design patterns document a field's systematic knowledge derived from experiences. Despite the vast body of work in the field of multi-agent systems (MAS), design patterns for MAS are not popular among software practitioners. As MAS have features that are widely considered as key to engineering complex distributed applications, it is important to provide a clear overview of existing patterns to make this knowledge accessible. To that end, we performed a systematic literature review covering the main publication venues of the field since 1998, resulting in 206 patterns. The study shows that (1) there is a lack of a standard template for documenting design patterns for MAS, which hampers the use of patterns by practitioners, (2) associations between patterns are poorly described, which results in a lack of overview of the pattern space, (3) patterns for MAS have been used for a variety of application domains, which underpins their high potential for practitioners, and (4) classifications of design patterns for MAS are bounded to specific pattern catalogs, a more holistic view on the pattern space is missing. From our study, we outline a number of guidelines that are important for future work on design patterns for MAS and their adoption in practice.

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Section: How Are the Design Patterns Connected? (Rq2)mentioning

confidence: 99%

Design Patterns for Multi-agent Systems: A Systematic Literature Review

Juziuk

Weyns

Holvoet

2014

Agent-Oriented Software Engineering

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“…Against the background, we have proposed a policy-based self-organization approach in our previous work [6] which affects the emergences of multi-agent systems by restricting or guiding agents' behaviors in terms of policy. In order to support the development of the PSOMAS (Policy-based Self-Organizing Multi-Agent Systems), this paper proposes a BDIP software architecture in which policies are viewed as component of the agent.…”

Section: Introductionmentioning

confidence: 99%

“…BDIP architecture of AgentIn PSOMAS, the environment of a BDIP agent consists of policies and other agents[6], and the BDIP agent can perceive the policies from its local environment.The perceived policies are deposited in the Policy component, and are triggered by the policy conditions (introduced in section 3.2) which are specified in the Belief component. Policies can affect both Desire component and Intention component.…”

mentioning

confidence: 99%

The BDIP Software Architecture and Running Mechanism for Self-Organizing MAS

Guo¹,

Mao²,

Hou³

et al. 2012

Intelligent Information Processing VI

Self Cite

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As there are huge gaps between the local micro interactions among agents and the global macro emergence of self-organizing system, it is a great challenge to design self-organizing mechanism and develop self-organizing multi-agent system to obtain expected emergence. Policy-based selforganization approach is helpful to deal with the issue, in which policy is the abstraction of self-organizing mechanism and acts as the bridge between the local micro interactions and global macro emergence. This paper focuses on how to develop software agents in policy-based self-organizing multi-agent system and proposes a BDIP architecture of software agent. In our approach, policy is an internal component that encapsulates the self-organizing information and integrates with BDI components. BDIP agent decides its behaviors by complying with the policies and respecting BDI specifications. An implementation model and the running mechanism as well as corresponding decision algorithms for BDIP agents are studied. A case of self-organizing system is studied to illustrate our proposed approach and show its effectiveness.

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Design Pattern for Self-Organization Multi-agent Systems Based on Policy

Cited by 2 publications

References 16 publications

Design Patterns for Multi-agent Systems: A Systematic Literature Review

Design Patterns for Multi-agent Systems: A Systematic Literature Review

The BDIP Software Architecture and Running Mechanism for Self-Organizing MAS

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