http://hdl.handle.net/10366/131904 Wed, 22 Apr 2026 13:17:43 GMT 2026-04-22T13:17:43Z http://hdl.handle.net/10366/131915 ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 2016, Vol. 5, N. 2, p. II. Thu, 24 Nov 2016 00:00:00 GMT http://hdl.handle.net/10366/131915 2016-11-24T00:00:00Z http://hdl.handle.net/10366/131914 ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 2016, Vol. 5, N. 2, p. I. Tue, 15 Nov 2016 00:00:00 GMT http://hdl.handle.net/10366/131914 2016-11-15T00:00:00Z http://hdl.handle.net/10366/131913 Network topology is a physical description of the overall resources in the network. Collecting this information using efficient mechanisms becomes a critical task for important network functions such as routing, network management, quality of service (QoS), among many others. Recent technologies like Software-Defined Networks (SDN) have emerged as promising approaches for managing the next generation networks. In order to ensure a proficient topology discovery service in SDN, we propose a simple agents-based mechanism. This mechanism improves the overall efficiency of the topology discovery process. In this paper, an algorithm for a novel Topology Discovery Protocol (SD-TDP) is described. This protocol will be implemented in each switch through a software agent. Thus, this approach will provide a distributed solution to solve the problem of network topology discovery in a more simple and efficient way. Tue, 08 Nov 2016 00:00:00 GMT http://hdl.handle.net/10366/131913 2016-11-08T00:00:00Z http://hdl.handle.net/10366/131912 In this paper, we present a persuasive recommendation module included in the iGenda framework. iGenda is a cognitive assistant that helps care-receivers and caregivers in the management of their activities of daily living, by resolving scheduling conflicts and promoting active aging activities. The proposed new module will allow the system to select and recommend to the users an event that potentially best suits to his/her interests (likes or medical condition). The multi-agent approach followed by the iGenda framework facilitates an easy integration of these new features. The social objective is to promote social activities and engaging the users in physical or psychological activities that improve their medical condition. Mon, 07 Nov 2016 00:00:00 GMT http://hdl.handle.net/10366/131912 2016-11-07T00:00:00Z http://hdl.handle.net/10366/131911 This paper presents a proposal for a Smart Transport System which is an application that facilitates the interconnection between people (citizens, tourists) and transport providers (Bus, metro, trains, trams), defining the services that everyone can request or offer. The system has been defined as a virtual organization where agents (representing actors of the transport system) can enter or leave into the system consuming or offering services. Due to the fact that modern urban public transport is increasingly an important service used by citizens in current cities, the proposed system will improve the use of resources while also ensuring time flexible mobility solutions for citizens. Mon, 07 Nov 2016 00:00:00 GMT http://hdl.handle.net/10366/131911 2016-11-07T00:00:00Z http://hdl.handle.net/10366/131910 The emergence of smart devices and recent advances in spoken language technology are currently extending the use of conversational interfaces and spoken interaction to perform many tasks. The dialog management task of a conversational interface consists of selecting the next system response considering the user's actions, the dialog history, and the results of accessing the data repositories. In this paper we describe a dialog management technique adapted to multi-task conversational systems. In our proposal, specialized dialog models are used to deal with each specific subtask of dialog objective for which the dialog system has been designed. The practical application of the proposed technique to develop a dialog system acting as a customer support service shows that the use of these specialized dialog models increases the quality and number of successful interactions with the system in comparison with developing a single dialog model. Mon, 07 Nov 2016 00:00:00 GMT http://hdl.handle.net/10366/131910 2016-11-07T00:00:00Z http://hdl.handle.net/10366/131909 The automatic recipe recommendation which take into account the dietary restrictions of users (such as allergies or intolerances) is a complex and open problem. Some of the limitations of the problem is the lack of food databases correctly labeled with its potential allergens and non-unification of this information by companies in the food sector. In the absence of an appropriate solution, people affected by food restrictions cannot use recommender systems, because this recommend them inappropriate recipes. In order to resolve this situation, in this article we propose a solution based on a collaborative multi-agent system, using negotiation and machine learning techniques, is able to detect and label potential allergens in recipes. The proposed system is being employed in receteame.com, a recipe recommendation system which includes persuasive technologies, which are interactive technologies aimed at changing users’ attitudes or behaviors through persuasion and social influence, and social information to improve the recommendations. Mon, 07 Nov 2016 00:00:00 GMT http://hdl.handle.net/10366/131909 2016-11-07T00:00:00Z http://hdl.handle.net/10366/131908 Electricity markets worldwide are complex and dynamic environments with very particular characteristics, resulting from their restructuring and evolution into regional and continental scales, along with the constant changes brought by the increasing necessity for an adequate integration of renewable energy sources. The rising complexity and unpredictability in electricity markets has increased the need for the intervenient entities in foreseeing market behaviour. Several modelling tools directed to the study of restructured wholesale electricity markets have emerged. However, they have a common limitation: the lack of interoperability between the various systems to allow the exchange of information and knowledge, to test different market models and to allow market players from different systems to interact in common market environments. This paper proposes the Electricity Markets Ontology, which integrates the essential necessary concepts related with electricity markets, while enabling an easier cooperation and adequate communication between related systems. Additionally, it can be extended and complemented according to the needs of other simulators and real systems in this area Mon, 07 Nov 2016 00:00:00 GMT http://hdl.handle.net/10366/131908 2016-11-07T00:00:00Z http://hdl.handle.net/10366/131907 In this paper we have designed an agent system using JADEX platform in order to facilitate the asset management of an institution with several types of assets with some unknown similarities, and a high number of operators. Such environment would justify the use of a recommendation system that would provide an useful plan to be applied over an asset generated from previous maintenance operations hold over other assets. Here we provide the full design of such agent system, including the ontology, beliefs, plans, protocols and goals. This design has been implemented within GAIA: an information & asset management solution developed by Altran. Tue, 08 Nov 2016 00:00:00 GMT http://hdl.handle.net/10366/131907 2016-11-08T00:00:00Z