The re-use of Multimedia Objects by Software Agents in the Kimsac system

Guigan, Ray Mc; Delorme, Patrice; Grimson, Jane; Charlton, Patricia; Arapha, Yasmin; Mamdani, E. H.

doi:10.1007/978-1-4471-0895-5_9

Cited by 7 publications

(3 citation statements)

References 3 publications

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“…KQML); a content language specialised to handle current applications/services, one that is also extensible; a general 1 interface (from a formal view this is the base ontological level) which binds the application to the understanding and use of content [15]; In order to support the communication language a MAS will have at least one communication channel (TCP/IP or CORBA are examples of these). Most MASs will support a standard 2 way of registering agents' roles and requesting information about other agents (referred to as a facilitator or broker).…”

Section: Common Components In Masmentioning

confidence: 99%

Evaluating the FIPA standards and their role in achieving cooperation in multi-agent systems

Charlton

Cattoni

Potrich

et al.

Proceedings of the 33rd Annual Hawaii International Conference on System Sciences

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The paper focuses on the analysis and evaluation of certain aspects of the current specification standards provided by FIPA (Foundation of Intelligent Physical Agents). The work reported here is based on the development of a multi-agent application, an audio video entertainment broadcasting (AVEB) system. This has resulted in determining advantages and limitations of using the FIPA standards to build complex Multi-agent Software Systems. The development and testing of the AVEB application are part of an EU project called FACTS (acts AC317). A main result of using FIPA has been the identification of the usefulness and power of its protocols. The reason for the importance of the protocols in developing multi-agent systems (MAS) is it provides a degree of expressing cooperation within MAS architecture. As the protocols stand currently they are not sufficient to capture a complete explicit model of the cooperative requirements in multi-agent systems. However, they provide a basis from which to start. We examine this feature of FIPA further in order to evaluate its role as a bridge between the mental agency and social agency requirements in the development of cooperation in mult-agent systems.

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Section: Common Components In Masmentioning

confidence: 99%

Evaluating the FIPA standards and their role in achieving cooperation in multi-agent systems

Charlton

Cattoni

Potrich

et al.

Proceedings of the 33rd Annual Hawaii International Conference on System Sciences

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“…These asset descriptions essentially ground five important aspects of information-sharing between agents and entities [21]. The aspects defined to allow the sharing of content across a distributed system and facilitate scalable service provision are as follows:…”

Section: Content Languagementioning

confidence: 99%

“…This includes frameworks for representing uncertain knowledge about the surrounding environment evolving with experience and time, awareness of the implication of time constraints, and context-based behaviour. For this purpose we use the notion of meta-level knowledge representation which are annotations of data [21], culled Assets, being manipulated between the agents in a MAS. This provides an understanding of the content being handled and hence provides better awareness of the environment.…”

Section: Content Languagementioning

confidence: 99%

Virtual personal service assistants: real-time characters with artificial hearts

Arafa

Mamdani²

IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028)

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Over the last years there has been a growing consensus that new generation interfaces turn their focus on the human element by enriching Human-Computer Communication with an Aflective dimension. Affective generation of autonomous agent behaviour aspires to give computer interfaces emotional states that relate and take into account user as well as system environment considerations. Internally, through computational models of artificial hearts (emotion and personality), and externally through believable multi-modal expression augmented with quasi-human characteristics. Computational models of affect are addressing problems of how agents anive at a given affective state and how these states are expressed through natural multimodal communicative interaction. Much of this work is targeting the entertainment environment and generally does not address the real-time requirements of multi-agent systems, where behaviour is dynamically changing based on agent goals as well as the shared data and knowledge. This paper discusses one of the requirements for real-time realisation of Personal Service Assistant interface characters.We describe an operational approach to enabling the computational perception required for the automated generation of affective behaviour through inter-agent communication in multi-agent real-time environments. The research is investigating the potential of extending current agent communication languages so as they not only convey the semantic content of knowledge exchange but also they can communicate affective attitudes about the shared knowledge. Providing a necessary component of the framework required for real-time autonomous agent development with which we may bridge the gap between current research in psychological theory and practical implementation of social multi-agent systems.

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A Framework for Supporting Multimodal Conversational Characters in a Multi-agent System

Arafa

Mamdani

2000

Advances in Multimodal Interfaces — ICMI 2000

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The re-use of Multimedia Objects by Software Agents in the Kimsac system

Cited by 7 publications

References 3 publications

Evaluating the FIPA standards and their role in achieving cooperation in multi-agent systems

Evaluating the FIPA standards and their role in achieving cooperation in multi-agent systems

Virtual personal service assistants: real-time characters with artificial hearts

A Framework for Supporting Multimodal Conversational Characters in a Multi-agent System

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