Hilton José Silva de Azevedo

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This chapter introduces the design and implementation of a multiagent system based on a collaborative online learning environment (COLE). The purpose of developing such an environment is to improve social competences along with traditional content-related ones in lifelong learning. As educators would be unable to handle the huge amount of data concerning(More)
This paper concerns the relationship between agents or multi-agent systems and distributed communities of practice. It presents a review of a number of agent and multi-agent applications with features that could contribute to supporting distributed communities of practice. The association is promising because of features like autonomy, pro-activity,(More)
Whilst we have a number of techniques for building multiagent systems, such techniques assume that the number and role of each agent in the system is known a priori. Unfortunately it is rarely the case in practice, in particular when trying to build multiagent knowledge management systems in R&D environments exhibiting a high rate of turnover. Thus, we need(More)
We present a model for the certification of trust in multi-agent systems based on encryption. The objective is to raise the level of efficiency that client agents have when contracting specialized service agents. We make three hypotheses: (i) client agents are able to measure and inform the quality of a service they receive from a service agent; (ii)(More)
This paper discusses the main lines used to model intelligent agents that will operate in a Collaborative Online Learning Environment – COLE. The aim of COLE is to evaluate the contribution that Information Technology and Multiagent Systems can bring to the discussion about new adult learning processes. The work hypothesis is that online environments can(More)
This paper presents a certified confidence model which aims to ensure credibility for information exchanged among agents which inhabit an open environment. Generally speaking, the proposed environment shows a supplier agent b which delivers service for a customer agent a. The agent a returns to b a cryptographed evaluation r on the service delivered. The(More)