By Simon G. Thompson, Robert Ghanea-Hercock
Defence purposes are topic to a few of the world’s such a lot challenging requisites for reliability, controllability, safety, flexibility, and synchronization. The evolution of defence methods in the direction of community enabled structures and fast deployment eventualities, is developing an pressing call for for hugely adaptive and self reliant info help platforms. specifically there are standards for diminished manpower in help roles, self reliant IT infrastructures, and automatic logistics and making plans, all of which offer major scope for an agent-oriented resolution set. The workshop addresses using agent platforms and agent functions utilized to defence situations in aid of those requirements.
This booklet constitutes the completely refereed post-proceedings of the overseas Workshop on Defence purposes of Multi-Agent structures, DAMAS 2005, held in Utrecht, The Netherlands in July 2005 as an linked occasion of AAMAS 2005, the most foreign convention on self sustaining brokers and multi-agent structures. the ten revised complete papers offered including 1 invited article are equipped in topical sections on determination aid and simulation, unmanned aerial automobiles, in addition to on platforms and security.
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Extra info for Defence Applications of Multi-Agent Systems: International Workshop, DAMAS 2005, Utrecht, The Netherlands, July 25, 2005, Revised and Invited Papers
Our focus in this paper is in the evolution of the quantitative part of the model which represents the CPTs of the model. Population of the CPTs however is difficult. When the networks are small it is possible to consult SMEs to define the CPT values. However this is not an easy task since domain experts are difficult to find and most of the times they do not reach a consensus due to bias and preoccupations. This presents a challenge. ‘Customer buy-in’ can be reinforced if parameters of learning are sufficiently bounded to ensure a high degree of confidence in the veracity of the learning.
A meta-model for the analysis and design of organizations in multi-agent systems. In: Third International Conference on Multi-Agent Systems, ICMAS98. (1998) 128–135 3. : Claim: A computational language for autonomous, intelligent and mobile agents. In: Programming Multiagent Systems. , Springer (2004) 4. : Himalaya framework: Hierarchical intelligent mobile agents for building large-scale and adaptive systems based on ambients. In: International Workshop on Massively Multi-Agent Systems, Kyoto, Japan (2004) 5.
Therefore it is important to be able to fuse and process relevant information efficiently through automation. Automation can be used at each stage of the process, from the acquisition, fusion to the processing. Our aim in this paper is to focus on the processing of information in order to assist the decision maker. For this task we employ a decision theoretic approach named Bayesian Belief Network. The correctness of the reasoning made with BBNs is analogous to the quality of knowledge that they encapsulate.