ACCESS: An Agent Based Architecture for the Rapid Prototyping of Location Aware Services

Strahan, Robin; O’Hare, Gregory M. P.; Muldoon, Conor; Phelan, Donnacha; Collier, Rem W.

doi:10.1007/11428862_95

Cited by 8 publications

(4 citation statements)

References 2 publications

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“…Being capable of flexible autonomous action in dynamic, unpredictable and open environments, agents are particularly well suited to profile management in systems where frequently changing context results in user profiles that are in a constant state of flux. The ACCESS architecture (Strahan et al, 2005;Phelan et al, 2004) seeks to provide support for multi-user environments by offering support for mobile lightweight intentional agents and intelligent prediction of user service needs, as well as personalisation of content through user profiling and context harvesting. ACCESS-compliant systems are capable of exchanging information about user interactions.…”

Section: Personalisationmentioning

confidence: 99%

Distributed network intelligence: A prerequisite for adaptive and personalised service delivery

et al. 2008

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Publication informationInformation System Frontiers, 11 (1) IrelandMobile computing is undoubtedly one of the predominant computer usage paradigms in operation today.The implications of what might be cautiously termed a usage paradigm shift have still not crystallised fully, either for society, or those envisaging a new raft of applications and services for mobile users. However, fundamental to the current and future success of mobile computing are mobile telecommunications networks. Such networks have been a success story in their own right in recent years, both as traditional voice carriers and, increasingly importantly, as a conduit of mobile data. The potential for new mobile data applications is immense, but, crucially, this potential is severely compromised by two factors inherent in mobile computing: limited bandwidth and computationally restricted devices. Hence, the academic and commercial interest in harnessing intelligent techniques as a means of mitigating these concerns, and ensuring the user experience is a satisfactory one. In this paper, the broad area of intelligence in telecommunications networks is examined, and issues relating to the deployment of intelligent technologies are explored. In particular, the potential of intelligent agents is identified as a viable mechanism for realising a full end-to-end deployment of intelligence throughout the network, including possibly the most crucial component: the end user's device. As an illustration of the viability of this approach, a brief description of a mobile blogging application is presented.

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Section: Personalisationmentioning

confidence: 99%

Distributed network intelligence: A prerequisite for adaptive and personalised service delivery

et al. 2008

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“…Agent Factory Micro Edition (AFME) (Muldoon, O'Hare, Collier & O'Grady, 2006) is an agent platform developed for the construction of lightweight intelligent agents for cellular digital mobile phones and other computationally constrained devices. To illustrate the viability of such an approach, AFME has been successfully used in a number of systems documented in the literature including EasiShop (Keegan and O'Hare, 2004), Gulliver's Genie (O' Grady and O'Hare, 2004) and the ACCESS architecture (Strahan, O'Hare, Phelan, Muldoon and Collier, 2005). The platform supports the development of a type of software agent that is: autonomous, situated, socially able, intentional, rational, and mobile (Collier, O'Hare, Lowen & Rooney, 2003).…”

Section: Afme: a Resource Constrained Intelligent Agent Architecturementioning

confidence: 99%

Embedded agents: a paradigm for mobile services

O’Hare

O’Grady

Muldoon

et al. 2006

IJWGS

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Mobile computing radically challenges some of the traditional assumptions associated with the software development lifecycle, and end-user behaviour. Successfully meeting these challenges is of fundamental importance if mobile computing is to fulfil its considerable potential. One approach to this concerns the prudent and selective adoption of intelligent techniques. However, reconciling the conflicting demands of deploying sophisticated resource-intensive computational algorithms on devices that are inherently resource-poor raises significant difficulties. Recent developments in intelligent agent technologies offer one viable approach to resolving this conflict. This paper explores the state-of-the-art in mobile computing and intelligent agents. In particular, issues pertinent to the deployment of agents on mobile devices are considered in detail. To illuminate this discussion, the implementation of one such framework is described.

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“…Overview of EasyLife EasyLife [29] provides a framework that enables service providers to deliver customised combinations of location-aware services to their subscribers. Many examples of location-aware services have been documented, for example, AccesSights [30], HIPS [31], CoMPASS [32] and ACCESS [33]. However, EasyLife, like ACCESS, adopts an agent-based approach, and is concerned with service fusion through a suite of heterogeneous agents.…”

Section: Aose: Framework For Embedded Agentsmentioning

confidence: 99%

Service Fusion in Mobile Contexts

Shen

O’Grady

O’Hare

2010

Agent and Multi-Agent Technology for Internet and Enterprise Systems

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Abstract. Service provision for mobile users poses several challenges for those managing enterprise information systems. Some of these are ubiquitous, for example, privacy and security. Others give rise to integration and interoperability issues. The agent paradigm, though offering potential in fixed networked scenarios, has not been seriously considered as a mechanism for incorporating mobile clients, primarily to their computational intractability on mobile devices. However, recent developments in agent and mobile computing technologies -both from a hardware and software perspective, have rendered the mobile phone a viable platform for agents. One implication of this is that agents now offer a viable platform for service delivery to mobile users. This chapter reflects on some of the pertinent issues necessary for this, including Agent Oriented Software Engineering (AOSE). The discussion is illuminated with a systematic description of EasyLife -a framework that harnesses the agent paradigm to construct and deliver services to mobile users.

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ACCESS: An Agent Based Architecture for the Rapid Prototyping of Location Aware Services

Cited by 8 publications

References 2 publications

Distributed network intelligence: A prerequisite for adaptive and personalised service delivery

Distributed network intelligence: A prerequisite for adaptive and personalised service delivery

Embedded agents: a paradigm for mobile services

Service Fusion in Mobile Contexts

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