A Brief Introduction to Software Agent Technology

Nwana, Hyacinth S.; Ndumu, Divine T.

doi:10.1007/978-3-662-03678-5_2

Cited by 50 publications

(26 citation statements)

References 14 publications

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“…We decided that hiding the heterogeneity would be a key design factor instead of enforcing particular network types, identifier schemes, or protocols. For this purpose, we adopted a software agent [23] to act for a device in a relationship of agency. An agent can communicate with other agents while it hides its device's network type, protocol, and other heterogeneous natures.…”

Section: Architecturementioning

confidence: 99%

iotSilo: The Agent Service Platform Supporting Dynamic Behavior Assembly for Resolving the Heterogeneity of IoT

Jung

Cho

Kang

2014

International Journal of Distributed Sensor Networks

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Although a lot of researchers have painted a rosy picture of Internet of Things (IoT), there have been no widely accepted solution and related standards until now. To achieve the successful realization of IoT, the close collaboration of devices is the primary requisite. However, the heterogeneity of devices such as different hardware or network connectivity prohibits the realization of IoT. In order to overcome the heterogeneity issue, we suggested the agent service platform named iotSilo in which agents can communicate and cooperate on behalf of their devices. With this delegation approach, the iotSilo can support diverse devices without worrying about their differences. In designing an agent, several software design patterns are adopted to enable the agent to assemble behaviors for hiding the heterogeneity of devices. To investigate the effectiveness of the iotSilo, we developed eleven different types of the IoT devices to emulate real world things with Arduino, deployed the devices in both Korea and Japan, and then conducted three experiments.

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Section: Architecturementioning

confidence: 99%

iotSilo: The Agent Service Platform Supporting Dynamic Behavior Assembly for Resolving the Heterogeneity of IoT

Jung

Cho

Kang

2014

International Journal of Distributed Sensor Networks

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“…An intelligent piece of code that moves around can be considered the most advanced form of active code. All other forms derive from this one by combining some but not all characteristics mentioned within the intelligent and mobile agent research domain [11].…”

Section: Mobile Agentsmentioning

confidence: 99%

Context-Aware Services Provisioning on Top of Active Technologies

Sygkouna

Vrontis

Chantzara

et al. 2003

Lecture Notes in Computer Science

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“…The most prevalent method of leadership style in agent architectures is the dictatorial style (decision made by single agent), as in the blackboard (Skarmeas, 1999); while the democratic styles (consensus required for all agents) have gained some popularity (Martin, et aI., 1999). Some hybrid static systems include the layered system of Nwana and Ndumu (1998) and InteRRap (Mueller, et aI., 1995).…”

Section: Organizationmentioning

confidence: 99%

Leadership Based Agent Architecture

Summers

Shah

2002

From Knowledge Intensive CAD to Knowledge Intensive Engineering

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Abstract:This paper discusses an intelligent and evolving agent based CAD system to support collaborative design. Such systems consist of autonomous and mobile agents, each performing specialized functions. The question is how to resolve conflicts between agents. No structured general methods have yet been established to this end. This paper proposes selecting a leadership style dynamically in the agent architecture based upon the state of the engineering design environment. This tool is derived from research in the psychology, sociology, and political science fields of leadership theory and applied to the evolving design artifact in mechanical engineering design.

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A Brief Introduction to Software Agent Technology

Cited by 50 publications

References 14 publications

iotSilo: The Agent Service Platform Supporting Dynamic Behavior Assembly for Resolving the Heterogeneity of IoT

iotSilo: The Agent Service Platform Supporting Dynamic Behavior Assembly for Resolving the Heterogeneity of IoT

Context-Aware Services Provisioning on Top of Active Technologies

Leadership Based Agent Architecture

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