22 results on '"Rodríguez, Sara"'
Search Results
2. Improving the Tracing System in PANGEA Using the TRAMMAS Model
- Author
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Búrdalo, Luis, Terrasa, Andrés, Julián, Vicente, Zato, Carolina, Rodríguez, Sara, Bajo, Javier, Corchado, Juan M., Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Sudan, Madhu, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Vardi, Moshe Y., Editorial Board Member, Weikum, Gerhard, Editorial Board Member, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Pavón, Juan, editor, Duque-Méndez, Néstor D., editor, and Fuentes-Fernández, Rubén, editor
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- 2012
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- View/download PDF
3. MISIA: Middleware Infrastructure to Simulate Intelligent Agents
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García, Elena, Rodríguez, Sara, Martín, Beatriz, Zato, Carolina, Pérez, Belén, Kacprzyk, Janusz, editor, Abraham, Ajith, editor, Corchado, Juan M., editor, González, Sara Rodríguez, editor, and De Paz Santana, Juan F., editor
- Published
- 2011
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4. Multiagent-Based Middleware for the Agents’ Behavior Simulation
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García, Elena, Rodríguez, Sara, De Paz, Juan F., Corchado, Juan M., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Cabestany, Joan, editor, Rojas, Ignacio, editor, and Joya, Gonzalo, editor
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- 2011
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- View/download PDF
5. Temporal Bounded Planner Agent for Dynamic Industrial Environments
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De Paz, Juan F., Navarro, Martí, Rodríguez, Sara, Julián, Vicente, Bajo, Javier, Corchado, Juan M., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, García-Pedrajas, Nicolás, editor, Herrera, Francisco, editor, Fyfe, Colin, editor, Benítez, José Manuel, editor, and Ali, Moonis, editor
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- 2010
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6. Multiagent Systems in Expression Analysis
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De Paz, Juan F., Rodríguez, Sara, Bajo, Javier, Kacprzyk, Janusz, editor, Demazeau, Yves, editor, Pavón, Juan, editor, Corchado, Juan M., editor, and Bajo, Javier, editor
- Published
- 2009
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7. Smart System for the Retrieval of Digital Educational Content.
- Author
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Gil, Ana B., de la Prieta, Fernando, Rodríguez, Sara, and Corchado, Juan M.
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CASE-based reasoning ,FEDERATED searching ,SYSTEM integration ,INFORMATION retrieval ,EDUCATIONAL technology ,INFORMATION modeling ,ACCESS to information - Abstract
The education sector is a major generator, consumer, and depositary of educational content. Thanks to technological advances, today's educators and learners have ubiquitous and on-demand access to information. Technology has made it possible for us to communicate and share information effortlessly from anywhere in the world. However, the availability of vast amounts of heterogeneous educational content will not be useful unless we search, retrieve and integrate it, creating interoperable educational environments. The current challenges to integrating educational content arise from its distribution over several repositories. This research proposes AIREH (architecture for intelligent retrieval of educational content from heterogeneous environments), for the retrieval of digital content through agent-based virtual organizations. This flexible architecture facilitates the search for and integration of heterogeneous content through an information retrieval model that involves both case-based reasoning and federated search. Moreover, AIREH is based on an adaptive organization model for distributed planning, thanks to which, it manages open systems flexibly, dynamically, and effectively. The conducted case study gives very promising results and demonstrates the advantages of using agent-based virtual organizations in the retrieval of labeled digital content. The proposed model is flexible, customizable, comprehensive and efficient. [ABSTRACT FROM AUTHOR]
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- 2019
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8. DYNAMIC MONITORING IN PANGEA PLATFORM USING EVENT-TRACING MECHANISMS.
- Author
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BÚRDALO, Luis, TERRASA, Andrés, JULIÁN, Vicente, BAJO, Javier, RODRÍGUEZ, Sara, and CORCHADO, Juan Manuel
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MULTIAGENT systems ,DISTRIBUTED computing ,INTELLIGENT agents ,ARTIFICIAL intelligence ,VIRTUAL corporations - Abstract
The use of distributed multi-agent systems (MAS) have increased in recent years, with the growing potential to handle large volumes of data and coordinate the operations of many organizations. In these systems, each agent independently handles a set of specialized tasks and cooperates to achieve the goals of the system and a high degree of flexibility. Multi-agent systems have become the most effective and widely used form of developing this type of application in which communication among various devices must be both reliable and efficient. One of the problems related to distribute computing is message passing, which is related to the interaction and coordination among intelligent agents. Consequently, a multi-agent architecture must necessarily provide a robust communication platform and control mechanisms. This paper presents the integration of an event-tracing model in an agent platform called PANGEA. Adding this new capability, the platform allows improving the monitoring and analysis of the information that agents can send/receive in order to fulfil their goals more efficiently. [ABSTRACT FROM AUTHOR]
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- 2017
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9. Temporal bounded reasoning in a dynamic case based planning agent
- Author
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Navarro Llácer, Martín, De Paz, Juan F., Julian Inglada, Vicente Javier, Rodríguez, Sara, Bajo, Javier, and Corchado, Juan M.
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Case-based reasoning ,Multiagent systems ,Temporal bounded reasoning ,Ambient intelligence ,LENGUAJES Y SISTEMAS INFORMATICOS - Abstract
This paper presents a planning model integrated within a TB-CBP-BDI real-time intelligent agent that provides special abilities for planning in a predictable time, which makes its use especially appropriate in systems where certain temporal constraints must be satisfied. The proposed TB-CBP-BDI real-time agent is the core of a multi-agent system that manages security issues in industrial environments, where time constraints are a key factor. The proposed planning model facilitates the automatic temporal bounded reorganization of tasks to provide the system with adaptation abilities to the changes that occur in the environment. The planning mechanism focuses on optimizing industrial and manufacturing processes, specifically the tasks performed by the available security entities in these environments. Additionally, several Ambient Intelligence technologies such as QR-CODES, GPS, Wi-Fi and HSDPA are used to develop the intelligent environment that was tested and analyzed in this study. 2012 Elsevier Ltd. All rights reserved., This development was supported by the JCYL SA071A08 project, The Spanish government (TIN2009-13839-C03), FEDER and CONSOLIDER-INGENIO (2010 CSD2007-00022).
- Published
- 2012
10. A low-level resource allocation in an agent-based Cloud Computing platform.
- Author
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Bajo, Javier, De la Prieta, Fernando, Corchado, Juan M., and Rodríguez, Sara
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RESOURCE allocation ,INTELLIGENT agents ,CLOUD computing ,COMPUTATIONAL complexity ,SERVICE level agreements ,END users (Information technology) ,CLIENT/SERVER computing - Abstract
The distribution of computational resources in a Cloud Computing platform is a complex process with several parameters to consider such as the demand for services, available computational resources and service level agreements with end users. Currently, the state-of-the-art presents centralized approaches derived from previous technologies related to cluster of servers. These approaches allocate computational resources by means of the addition/removal of (physical/virtual) computational nodes. However, virtualization technology currently allows for research into new techniques, which makes it possible to allocate at a lower level. In other words, not only is it possible to add/remove nodes, but also to modify the resources of each virtual machine ( low level resource allocation ). Thus, agent theory is a key technology in this field, allowing decentralized resource allocation. This innovative approach has undeniable improvements such us computational load distribution and reduced computation time. The evaluation was carried out through experiments in a real Cloud environment, thus proving the validity of the proposed approach. [ABSTRACT FROM AUTHOR]
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- 2016
- Full Text
- View/download PDF
11. Multi-Agent Information Fusion System to manage data from a WSN in a residential home.
- Author
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Rodríguez, Sara, De Paz, Juan F., Villarrubia, Gabriel, Zato, Carolina, Bajo, Javier, and Corchado, Juan M.
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MULTIAGENT systems , *MULTISENSOR data fusion , *WIRELESS sensor networks , *DATA acquisition systems , *QUALITY of life , *INTERPERSONAL relations - Abstract
With the increase of intelligent systems based on Multi-Agent Systems (MAS) and the use of Wireless Sensor Networks (WSN) in context-aware scenarios, information fusion has become an essential part of this kind of systems where the information is distributed among nodes or agents. This paper presents a new MAS specially designed to manage data from WSNs, which was tested in a residential home for the elderly. The proposed MAS architecture is based on virtual organizations, and incorporates social behaviors to improve the information fusion processes. The data that the system manages and analyzes correspond to the actual data of the activities of a resident. Data is collected as the information event counts detected by the sensors in a specific time interval, typically one day. We have designed a system that improves the quality of life of dependant people, especially elderly, by fusioning data obtained by multiple sensors and information of their daily activities. The high development of systems that extract and store information make essential to improve the mechanisms to deal with the avalanche of context data. In our case, the MAS approach results appropriated because each agent can represent an autonomous entity with different capabilities and offering different services but collaborating among them. Several tests have been performed to evaluate this platform and preliminary results and the conclusions are presented in this paper. [ABSTRACT FROM AUTHOR]
- Published
- 2015
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12. Infrastructure to simulate intelligent agents in cloud environments.
- Author
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De la Prieta, Fernando, Rodríguez, Sara, Corchado, Juan M., and Bajo, Javier
- Subjects
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INTELLIGENT agents , *CLOUD computing , *COMPUTER simulation , *MULTIAGENT systems , *AMBIENT intelligence , *UBIQUITOUS computing - Abstract
Nowadays there is a clear trend towards using methods and tools that can help the development of Simulation Systems. In this regard, Multiagent System (MAS) is a key technology that allows simulating user behavior. When the user is the focus of the simulation, Ambient Intelligent (AmI) increases in importance. AmI is an emerging multidisciplinary area based on ubiquitous computing that aims to adapt the environment to the needs of the user. Moreover, Cloud Computing is revolutionizing the services provided through the Internet, continually adapting itself in order to maintain the quality of its services. This study presents a multiagent based middleware for the simulation of agent behavior in cloud environments, and uses this information to adapt to the environment as AmI proposed. The main challenge of this work is the design and development of a new middleware that makes possible the communication between the technology in charge of the development of MAS and the technology in charge of the simulation, visualization and analysis of the behavior of the agents using the potential of cloud computing. The platform makes the computation and communication possible by following the principles proposed by AmI. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
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13. Learning object retrieval in heterogeneous environments.
- Author
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Gil, Ana B., Rodríguez, Sara, De la Prieta, Fernando, and Corchado, Juan Manuel
- Subjects
MULTIAGENT systems ,MOBILE learning ,DISTANCE education ,METADATA ,COMMUNICATION - Abstract
This paper presents a solution to the problem of the search and retrieval digital tagged content in heterogeneous learning object repositories through architecture for intelligent retrieval of educational content in heterogeneous environments (AIREH) framework. This architecture unifies the search and retrieval of objects, thus facilitating the personalised learning search process by filtering and properly classifying learning objects retrieved for an approach for semantic-aware learning content retrieval based on abstraction layers between the repositories and the search clients. The use of federated databases techniques by using an organisation of agents allows those agents to work in a coordinated manner to solve a common problem, allowing the agents to adapt to the constantly changing environment (users, content repositories, etc.). Combining a complete agent-based architecture that implements the concept of federated search along with IR technologies may help organising and sorting search results in a meaningful way for educational content. [ABSTRACT FROM AUTHOR]
- Published
- 2013
- Full Text
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14. SELF-ORGANIZING MULTI-AGENT SYSTEM FOR MANAGEMENT AND PLANNING SURVEILLANCE ROUTES.
- Author
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RODRÍGUEZ, Sara, TAPIA, Dante I., DE PAZ, Juan F., BAJO, Javier, CORCHADO, Juan M., and ABRAHAM, Ajith
- Subjects
MULTIAGENT systems ,INTELLIGENT agents ,SELF-organizing systems ,COMPUTER architecture ,SECURITY personnel - Abstract
This paper presents the THOMAS architecture, specially designed to model open multi-agent systems, and its application in the development of a multi-agent system for managing and planning surveillance routes for security personnel. THOMAS uses agents with reasoning and planning capabilities. These agents can perform a dynamic self-organization when they detect changes in the environment. THOMAS is appropriate for developing systems in highly dynamic environments similar to the one presented in this study, as demonstrated by the results obtained after having applied the system to a case study. [ABSTRACT FROM AUTHOR]
- Published
- 2012
15. Social-based planning model for multiagent systems
- Author
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Rodríguez, Sara, de Paz, Yanira, Bajo, Javier, and Corchado, Juan M.
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SOCIAL planning , *MULTIAGENT systems , *COMMUNICATION & technology , *INDUSTRIAL engineering , *EXPERT systems , *SELF-adaptive software , *SIMULATION methods & models - Abstract
Abstract: 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. [Copyright &y& Elsevier]
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- 2011
- Full Text
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16. Information Extraction from Retinal Images with Agent-Based Technology.
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Chamoso, Pablo, Rodríguez, Sara, García-Ortiz, Luis, and Corchado, Juan Manuel
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DATA mining ,RETINAL imaging ,MULTIAGENT systems ,MEDICAL software ,RETINAL blood vessels ,EYE examination - Abstract
The study of retinal vessels can provide information on a wide range of illnesses in the human body. Numerous works have already focused on this new field of research and several medical software programs have been proposed to facilitate the close examination of retinal vessels. Some allow for the automatic extraction of information and can be combined with other clinical tools for effective diagnosis and further medical studies. This article proposes an Agent-based Virtual Organizations (VO) System which applies a novel methodology for taking measurements from fundus images and extracting information on the retinal vessel caliber. A case study was conducted to evaluate the performance of the developed system, and the fundus images of different patients were used to extract information. Its performance was compared with that of similar tools. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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17. Intelligent system for lighting control in smart cities.
- Author
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De Paz, Juan F., Bajo, Javier, Rodríguez, Sara, Villarrubia, Gabriel, and Corchado, Juan M.
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MUNICIPAL lighting , *SMART cities , *ARTIFICIAL intelligence , *PHOTODETECTORS , *ARTIFICIAL neural networks , *MULTIAGENT systems - Abstract
This paper presents an adaptive architecture that centralizes the control of public lighting and intelligent management to economize lighting and maintain maximum visual comfort in illuminated areas. To carry out this management, the architecture merges various techniques of artificial intelligence (AI) and statistics such as artificial neural networks (ANN), multi-agent systems (MAS), EM algorithm, methods based on ANOVA, and a Service Oriented Approach (SOA). It achieves optimization in terms of both energy consumption and cost by using a modular architecture, and is fully adaptable to current lighting systems. The architecture was successfully tested and validated and continues to be in development. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
18. Integrating hardware agents into an enhanced multi-agent architecture for Ambient Intelligence systems
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Tapia, Dante I., Fraile, Juan A., Rodríguez, Sara, Alonso, Ricardo S., and Corchado, Juan M.
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COMPUTER input-output equipment , *MULTIAGENT systems , *COMPUTER architecture , *AMBIENT intelligence , *INFORMATION technology , *SOCIAL development , *WIRELESS sensor networks , *COMPUTER software - Abstract
Abstract: 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 (FUSION@), 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. [Copyright &y& Elsevier]
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- 2013
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19. Using Techniques Based on Natural Language in the Development Process of Multiagent Systems
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Moreno, Juan Carlos González, López, Luis Vázquez, Kacprzyk, J., editor, Corchado, Juan M., editor, Rodríguez, Sara, editor, Llinas, James, editor, and Molina, José M., editor
- Published
- 2009
- Full Text
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20. HoCa Home Care Multi-agent Architecture
- Author
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Fraile, Juan A., Bajo, Javier, Lancho, Belén Pérez, Sanz, Eladio, Kacprzyk, J., editor, Corchado, Juan M., editor, Rodríguez, Sara, editor, Llinas, James, editor, and Molina, José M., editor
- Published
- 2009
- Full Text
- View/download PDF
21. Multiagent Approach for Supply Chain Integration by Distributed Production Planning, Scheduling and Control System
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Pawlewski, Pawel, Golinska, Paulina, Fertsch, Marek, Trujillo, Jesus A., Pasek, Zbigniew J., Kacprzyk, J., editor, Corchado, Juan M., editor, Rodríguez, Sara, editor, Llinas, James, editor, and Molina, José M., editor
- Published
- 2009
- Full Text
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22. Temporal bounded reasoning in a dynamic case based planning agent for industrial environments
- Author
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Navarro, Martí, De Paz, Juan F., Julián, Vicente, Rodríguez, Sara, Bajo, Javier, and Corchado, Juan M.
- Subjects
- *
INDUSTRIAL engineering , *REASONING , *STRATEGIC planning , *REAL-time control , *INTELLIGENT agents , *CONSTRAINT satisfaction , *MANUFACTURING processes - Abstract
Abstract: This paper presents a planning model integrated within a TB-CBP-BDI real-time intelligent agent that provides special abilities for planning in a predictable time, which makes its use especially appropriate in systems where certain temporal constraints must be satisfied. The proposed TB-CBP-BDI real-time agent is the core of a multi-agent system that manages security issues in industrial environments, where time constraints are a key factor. The proposed planning model facilitates the automatic temporal bounded reorganization of tasks to provide the system with adaptation abilities to the changes that occur in the environment. The planning mechanism focuses on optimizing industrial and manufacturing processes, specifically the tasks performed by the available security entities in these environments. Additionally, several Ambient Intelligence technologies such as QR-CODES, GPS, Wi-Fi and HSDPA are used to develop the intelligent environment that was tested and analyzed in this study. [Copyright &y& Elsevier]
- Published
- 2012
- Full Text
- View/download PDF
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