Formalizing tool use in intelligent environments

Acay, Daghan L.; Sonenberg, Liz; Tidhar, Gil

doi:10.1007/s12652-018-0755-x

Cited by 4 publications

(1 citation statement)

References 27 publications

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“…This defines the organisational goals and how they could be decomposed into sub goals and ordered tasks; a task is a leaf goal that cannot be further decomposed. A task may use a resource and can be achieved by an agent who possesses the capability associated with fulfilling that task [76]. R: The role model including a set of domain roles, relationships between roles, and context-based role definitions.…”

Section: Ojazzic Meta-model Componentsmentioning

confidence: 99%

Designing Multi-Agent System Organisations for Flexible Runtime Behaviour

Keogh

Sonenberg

2020

Applied Sciences

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We address the challenge of multi-agent system (MAS) design for organisations of agents acting in dynamic and uncertain environments where runtime flexibility is required to enable improvisation through sharing knowledge and adapting behaviour. We identify behavioural features that correspond to runtime improvisation by agents in a MAS organisation and from this analysis describe the OJAzzIC meta-model and an associated design method. We present results from simulation scenarios, varying both problem complexity and the level of organisational support provided in the design, to show that increasing design time guidance in the organisation specification can enable runtime flexibility afforded to agents and improve performance. Hence the results demonstrate the usefulness of the constructs captured in the OJAzzIC meta-model.

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Section: Ojazzic Meta-model Componentsmentioning

confidence: 99%