Entity

Time filter

Source Type

Doninos de Salamanca, Spain

The Pontifical University of Salamanca is a private, catholic university, located in Salamanca, Spain, and campus in Salamanca and Madrid. Wikipedia.


Rodriguez S.,University of Salamanca | De Paz Y.,University of Salamanca | Bajo J.,Pontifical University of Salamanca | Corchado J.M.,University of Salamanca
Expert Systems with Applications | Year: 2011

An idea that seems to be gaining considerable ground is that modeling the interactions of a multi-agent system cannot be related exclusively to the actual agent and its communication capabilities, but must involve the use of concepts found in organizational engineering as well. It is possible to establish different types of agent organizations according to the type of communication, the coordination among agents, and the type of agents that comprise the group. Each organization needs to be supported by a coordinated effort that explicitly determines how the agents should be organized and carry out the actions and tasks assigned to them. This research presents a new global coordination model for an agent organization. The primary novelty of the model consists of the dynamic and adaptive planning capability to distribute tasks among the agent members of the organization as effectively as possible. This model is unique in its conception, allowing an organization in a highly dynamic environment to employ self-adaptive capabilities in execution time. This allows for the behavior of an agent to be determined by the goals it wishes to reach, while still giving consideration to the goals of other agents and any changes in the environment. The model is evaluated in a multi-agent system developed within an architecture oriented toward THOMAS organizations and simulated in a virtual environment. © 2010 Elsevier Ltd. All rights reserved.


Rios-Aguilar S.,Pontifical University of Salamanca | Llorens-Montes F.-J.,University of Granada
Expert Systems with Applications | Year: 2015

This study analyzes the viability of using employees' smartphones following the BYOD paradigm as a valid tool to enable firms to control effective presence (primarily of remote labor force). We propose a model for a Mobile Presence Control Information System with which to demonstrate experimentally the viability of unifying three elements that have only been examined individually in previous studies: the consumerization of ITs, the real geolocation capabilities of personal mobile devices that employees can use in the workplace, and the exclusive use of Mobile Web technology to obtain universal location information without the need to install native apps. We also propose a new and specific methodology to analyze the precision and accuracy of the location data obtained by smartphone geolocation services. We developed a prototype of the Information System proposed and demonstrated its validity under different real-use conditions, obtaining valuable information on the accuracy and precision of the location data from real devices (based on iOS and Android) under the conditions of heterogeneous connectivity representative of workplaces. This research enables us to establish a new framework for the requirements needed, on both quantitative and qualitative levels, for the accuracy of the mobile location systems that can be used in Presence Control Information Systems, particularly those related to control of remote labor force. © 2015 Elsevier Ltd.


Bajo J.,Pontifical University of Salamanca | Borrajo M.L.,University of Vigo | De Paz J.F.,University of Salamanca | Corchado J.M.,University of Salamanca | Pellicer M.A.,University of Salamanca
Expert Systems with Applications | Year: 2012

Business Intelligence has gained relevance during the last years to improve business decision making. However, there is still a growing need of developing innovative tools that can help small to medium sized enterprises to predict risky situations and manage inefficient activities. This article present a multi-agent system especially created to detect risky situations and provide recommendations to the internal auditors of SMEs. The core of the multi-agent system is a type of agent with advanced capacities for reasoning to make predictions based on previous experiences. This agent type is used to implement a evaluator agent specialized in detect risky situations and an advisor agent aimed at providing decision support facilities. Both agents incorporate innovative techniques in the stages of the CBR system. An initial prototype was developed and the results obtained related to small and medium enterprises in a real scenario are presented. © 2011 Elsevier Ltd. All rights reserved.


de Paz J.F.,University of Salamanca | Bajo J.,Pontifical University of Salamanca | Gonzalez A.,University of Salamanca | Rodriguez S.,University of Salamanca | Corchado J.M.,University of Salamanca
Knowledge and Information Systems | Year: 2012

This work presents a system for automatically evaluating the interaction that exists between the atmosphere and the ocean's surface. Monitoring and evaluating the ocean's carbon exchange process is a function that requires working with a great amount of data: satellite images and in situ vessel's data. The system presented in this study focuses on computational intelligence. The study presents an intelligent system based on the use of case-based reasoning (CBR) systems and offers a distributed model for such an interaction. Moreover, the system takes into account the fact that the working environment is dynamic and therefore it requires autonomous models that evolve over time. In order to resolve this problem, an intelligent environment has been developed, based on the use of CBR systems, which are capable of handling several goals, by constructing plans from the data obtained through satellite images and research vessels, acquiring knowledge and adapting to environmental changes. The artificial intelligence system has been successfully tested in the North Atlantic Ocean, and the results obtained will be presented in this study. © 2010 Springer-Verlag London Limited.


Tapia D.I.,University of Salamanca | Fraile J.A.,Pontifical University of Salamanca | Rodriguez S.,University of Salamanca | Alonso R.S.,University of Salamanca | Corchado J.M.,University of Salamanca
Information Sciences | Year: 2013

Ambient Intelligence (AmI) systems require the integration of complex and innovative solutions. In this sense, agents and multi-agent systems have characteristics such as autonomy, reasoning, reactivity, social abilities and pro-activity which make them appropriate for developing distributed systems based on Ambient Intelligence. In addition, the use of context-aware technologies is an essential aspect in these developments in order to perceive stimuli from the context and react to it autonomously. This paper presents the integration of the Hardware-Embedded Reactive Agents (HERA) Platform into the Flexible and User Services Oriented Multi-agent Architecture (FUSIONat), a multi-agent architecture for developing AmI systems that integrates intelligent agents with a service-oriented architecture approach. Because of this integration, FUSION@ has the ability to manage both software and hardware agents by using self-adaptable heterogeneous wireless sensor networks. Preliminary results presented in this paper demonstrate the feasibility of FUSION@ as a future alternative for developing Ambient Intelligence systems where users and systems can use both software and hardware agents in a transparent way, achieving a higher level of ubiquitous computing and communication. © 2012 Elsevier Inc. All rights reserved.

Discover hidden collaborations