Collaboration of Knowledge Bases via Knowledge Based Coordination

Steiner, Donald; Mahling, Dirk E.; Haugeneder, Hans

doi:10.1007/978-1-4471-1831-2_6

Cited by 8 publications

(3 citation statements)

References 5 publications

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“…The resulting development framework allows the deployment and testing of the functionality of the earlier variant of KGP agents. Deployment of these agents relies upon the agent template designed by Stathis et al (2002), which builds upon previous work with the head/body metaphor described by Steiner et al (1991) and Haugeneder et al (1994), and the mind/body architecture introduced by Bell (1995) and recently used by Huang, Eliens, and de Bra (2001). This development platform has been applied to a number of practical applications, and, in particular, to ambient intelligence by Stathis and Toni (2004).…”

Section: Discussionmentioning

confidence: 99%

Computational Logic Foundations of KGP Agents

Kakas

Mancarella

Sadri

et al. 2008

jair

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This paper presents the computational logic foundations of a model of agency called the KGP (Knowledge, Goals and Plan) model. This model allows the specification of heterogeneous agents that can interact with each other, and can exhibit both proactive and reactive behaviour allowing them to function in dynamic environments by adjusting their goals and plans when changes happen in such environments. KGP provides a highly modular agent architecture that integrates a collection of reasoning and physical capabilities, synthesised within transitions that update the agent's state in response to reasoning, sensing and acting. Transitions are orchestrated by cycle theories that specify the order in which transitions are executed while taking into account the dynamic context and agent preferences, as well as selection operators for providing inputs to transitions

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Section: Discussionmentioning

confidence: 99%

Computational Logic Foundations of KGP Agents

Kakas

Mancarella

Sadri

et al. 2008

jair

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“…Deployment of KGP agents using SOCSiC is based on an agent template whose design [35] builds upon previous work in multi-agent systems, in particular, the head/body metaphor described by [37] and [14], and the mind/body architecture introduced by [3] and more recently used by [15].…”

Section: Methodsmentioning

confidence: 99%

The KGP Model of Agency for Global Computing: Computational Model and Prototype Implementation

et al. 2005

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Abstract. We present the computational counterpart of the KGP (Knowledge, Goals, Plan) declarative model of agency for Global Computing. In this context, a computational entity is seen as an agent developed using Computational Logic tools and techniques. We model a KGP agent by relying upon a collection of capabilities, which are then used to define a collection of transitions, to be used within logically specified, context sensitive control theories, which we call cycle theories. In close relationship to the declarative model, the computational model mirrors the logical architecture by specifying appropriate computational counterparts for the capabilities and using these to give the computational models of the transitions. These computational models and the one specified for the cycle theories are all based on, and are significant extensions of, existing proof procedures for abductive logic programming and logic programming with priorities. We also discuss a prototype implementation of the overall computational model for KGP.

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“…Commonly accepted models for agents decompose their architecture into communicator, head, and body [SHM91]. The agent body constitutes the internal problem solving expertise and provides the basic functionality of the agent (e.g., hospital information system, pharmaceutical database, calendar or email system of a patient).…”

Section: Agent Technologymentioning

confidence: 99%

Ubiquitous Healthcare: The OnkoNet Mobile Agents Architecture

Kirn

2003

Objects, Components, Architectures, Services, and Applications for a Networked World

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This paper introduces ubiquitous healthcare, addressing the access of health services by individual consumers applying to mobile computing devices. This access requires knowledge about the individual health status, which may involve (as far as available) the current personal situation (e.g., accident), relevant recent diseases etc., current symptoms or already available diagnosis. Addressing the related IT challenges -e.g., patient-centric knowledge processing, situation awareness, local control -we develop in detail the OnkoNet Mobile Agents Architecture involving architectures on the macrolevel and microlevel as well as cooperation protocols, inference models controlling system behaviour, and a health ontology.

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Collaboration of Knowledge Bases via Knowledge Based Coordination

Cited by 8 publications

References 5 publications

Computational Logic Foundations of KGP Agents

Computational Logic Foundations of KGP Agents

The KGP Model of Agency for Global Computing: Computational Model and Prototype Implementation

Ubiquitous Healthcare: The OnkoNet Mobile Agents Architecture

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