Towards clarifying the importance of interactions in Agent-Oriented Software Engineering

Peña, Joaquín; Levy, Renato; Corchuelo, Rafael

doi:10.4114/ia.v9i25.766

Cited by 9 publications

(7 citation statements)

References 15 publications

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“…Indirect interactions, although used widely for describing operation of natural systems (especially those related to modeling swarm intelligence), were introduced to computer science much later as a necessary extension to describe distributed concurrent computations [6,7]. Indirect interactions have obtained more attention in [8,9,10].…”

Section: Interactionsmentioning

confidence: 99%

“…Disordered and dynamic interactions [9] have been introduced quite recently to capture specific communication problems in mobile ad hoc networks. Those interactions are ideologically close to mediated interactions and are essential for on-line engineering of complex systems that comprise autonomous components with evolving interaction pattern, exhibit emergent behavior, and possess self-organizing properties.…”

Section: Interactionsmentioning

confidence: 99%

See 1 more Smart Citation

Self-aware architecture to support partial control of emergent behavior

Motus

Preden

Meriste

et al. 2012

2012 7th International Conference on System of Systems Engineering (SoSE)

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System of systems comprises interacting, heterogeneous, autonomous components with incomplete information about their inner states, and about the surrounding environment. Many interactions are often not rigorously defined, and change dynamically. System of systems usually exhibits emergent behavior that cannot be predicted by analyzing static properties of the components, and is not always permissible. This paper suggests that the designer can improve system's behavior by substituting (part of) regular interactions with smart mediated interactions that bolster up shared situation awareness of the system's components and thus strengthens system's capability to monitor and partially control its emergent behavior. This paper discusses smart mediated interactions that focus on awareness of temporal features and on estimates of spatial location of the components. Interactions are assembled into proactive middleware that forms a backbone of system of systems.

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Section: Interactionsmentioning

confidence: 99%

Section: Interactionsmentioning

confidence: 99%

Self-aware architecture to support partial control of emergent behavior

Motus

Preden

Meriste

et al. 2012

2012 7th International Conference on System of Systems Engineering (SoSE)

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“…It is specially tailored to model complex acquaintance organizations [26]. Its main advantages can be observed from three aspects: in the modeling aspect, the main advantage consists in providing an interaction abstraction to enable the modeling of unpredictable behaviors and provide a notation which, to the best of our knowledge, is the unique UML 2.0-based approach dedicated to modeling the acquaintance organization abstractly; in the techniques aspect, we provide semi-automatic techniques for decomposing and composing models basing on goal-oriented requirements and on dependencies, which are unique in the field; and in the software process aspect, we provide a software process that covers top-down and bottom-up development approaches providing criteria for deciding between them.…”

Section: Overview Of Macmas/umlmentioning

confidence: 99%

Building and implementing policies in autonomous and autonomic systems using MaCMAS

Peña

Hinchey

Sterritt

et al. 2007

Innovations Syst Softw Eng

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Autonomic Computing, self-management based on high level guidance from humans, is increasingly being accepted as a means forward in designing reliable systems that both hide complexity from the user and control IT management costs. Effectively, AC may be viewed as policy-based self-management. We look at ways of achieving this, with particular focus on agent-oriented software engineering. We propose utilizing MaCMAS, an AOSE methodology for specifying autonomic and autonomous properties of the system independently. Later, by means of composition of these specifications, guided by a policy specification, we construct a specification for the policy and its subsequent deployment. We illustrate this by means of a case study based on a NASA concept mission and describe future work on a support toolkit.

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“…Disordered and dynamic interactions [7] have been introduced quite recently to address specific communication problems in mobile ad hoc networks. Those interactions are ideologically close to mediated interactions and are essential for on-line engineering of complex systems that comprise autonomous components with evolving interaction pattern, exhibiting emergent behavior and possessing self-organizing properties.…”

Section: Introductionmentioning

confidence: 99%

On-line data validation in distributed data fusion

et al. 2013

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Data acquisition and data fusion systems are becoming increasingly complex, being in fact systems of systems, where every component may be a system with varying levels of autonomy by themselves. Possible changes in system configuration by entities joining or being removed from the system make the system complex. As synchronous operation cannot be expected in such a system configuration, the temporal and spatial correctness of data must be achieved via other means. This paper presents the concept of mediated interactions as a method for ensuring correctness of computation in a distributed system. The mediator associated with each computing entity is responsible for online checking of the data both before it is sent out at the sender side and before it is received at the receiver side, ensuring that only data satisfying the validity constraints of the receiver-side data processing algorithm is used in computation. This assumes that each data item is augmented with metadata, which enables online data validation. The validity and quality dimensions in use depend on the system requirements defined by a specific problem and situational context; they may be temporal, spatial and involve various data quality dimensions, such as accuracy, confidence, relevance, credibility, and reliability. Among other capabilities, the mediator is able to cope with the unknowns in the temporal dimension that occur at runtime and are not predictable, such as channel delay, jitter of clocks and processing delays. This capability becomes an especially relevant factor in multi-tasking systems and in configurations in which a computing entity may have to process a variable number of parallel streams of data.Both the architecture and a simulation case study of a distributed data fusion scenario are presented in the paper.

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Towards clarifying the importance of interactions in Agent-Oriented Software Engineering

Cited by 9 publications

References 15 publications

Self-aware architecture to support partial control of emergent behavior

Self-aware architecture to support partial control of emergent behavior

Building and implementing policies in autonomous and autonomic systems using MaCMAS

On-line data validation in distributed data fusion

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