Learn More
Software agents are defined as autonomous entities driven by beliefs, goals, capabilities and plans, and other behavioral properties such as adaptation, learning, interaction, and mobility. Software agents are the focus of considerable research in the artificial intelligence community, but there is still much to be done in the field of software engineering(More)
During the last 5 years, research on Human Activity Recognition (HAR) has reported on systems showing good overall recognition performance. As a consequence, HAR has been considered as a potential technology for e-health systems. Here, we propose a machine learning based HAR classifier. We also provide a full experimental description that contains the HAR(More)
Agent technology has been revisited as a complementary approach to the object paradigm in order to design and implement complex distributed software. Objects and agents have many similarities, but agents are also driven by beliefs, goals, capabilities, plans, and a number of agency properties such as autonomy, adaptation, interaction, learning and mobility.(More)
In this paper we present a methodology that guides the development of a multi-agent system for trading in electronic markets. Our approach uses a strategy of decomposing a complex trading problem into sub-problems, and defines agent roles that tackle these sub-problems. We also present an incremental development process for building asynchronous and(More)
Human Activity Recognition (HAR) based on wearable sensors is gaining increasing attention by the pervasive computing research community, especially for development of context-aware systems. This paper presents our approach for HAR based on wearable accelerometers and supervised learning algorithms. We present the HARwear device, a wearable for HAR. Using(More)
This paper is intended to sum up the results of the Second International Workshop on Software Engineering for Large-Scale Multi-The main purpose of this workshop was to share and pool the collective experience of people, both academics and practitioners, who are actively working on software engineering for large-scale multi-agent systems. The call for(More)
The development of large scale multi-agent systems (MASs) requires the introduction and structuring of the learning property throughout the design and implementation stages. In open systems and complex environments, agents have to reason and adapt through machine learning techniques in order to perform their goals. In this paper, we present a methodology to(More)
    In this paper we present AulaNet, an environment for the creation and maintenance of Web-based courses. It differs from other Web-based instruction environments because it lacks the physical elements of the traditional schools, lying over the trivet communication – coordination – cooperation. We also present some future trends in the development of(More)
Negotiation of related goods and services are getting a lot of attention in the electronic commerce arena. We describe a multi-agent architecture and strategy for trade in simultaneous and related auctions. The proposed SIMPLE Agency combines an integer programming model, machine learning techniques and knowledge engineering strategies to build its decision(More)
  • 1