Building multi-agent systems that can scale up to very large number of agents is a challenging research problem. In this paper, we present Distributed Multi Agent System Framework...
I. V. Aprameya Rao, Manish Jain, Kamalakar Karlapa...
Multi agent learning systems pose an interesting set of problems: in large environments agents may develop localised behaviour patterns that are not necessarily optimal; in a pure...
This paper introduces an adaptive architecture for presenting interactive timed media onto distributed networked devices. The interactive presentation is documented in StoryML, an...
Active learning is an e ective learning approach. In this paper, we present an intelligent agent assisted environment for active learning. The system is to better support studentc...
In this paper we reinforce the benefits of a trust based approach in mobile multi-agent systems. Whilst we do not specify a trust model we provide a framework for property based ...