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An Agent-Based Dialog Simulation Technique to Develop and Evaluate Conversational Agents

  • Sánchez-Pi, Nayat
  • Carbó Rubiera, Javier Ignacio
  • Griol Barres, David
  • Molina López, José Manuel
Proceedings of: 9th International Conference on Practical Applications of Agents and Multiagent Systems (PAAMS 11). Salamanca, 6-8 April, 2011, In this paper, we present an agent-based dialog simulation technique for learning new dialog strategies and evaluate conversational agents. Using this technique the effort necessary to acquire data required to train the dialog model and then explore new dialog strategies is considerably reduced. A set of measures has also been defined to evaluate the dialog strategy that is automatically learned and compare different dialog corpora. We have applied this technique to explore the space of possible dialog strategies and evaluate the dialogs acquired for a conversational agent that collects monitored data from patients suffering from diabetes., Funded by projects CICYT TIN2008-06742-C02-02/TSI, CICYT TEC2008-06732-C02- 02/TEC, CAM CONTEXTS (S2009/TIC-1485), and DPS2008-07029-C02-02., Publicado
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Local-based semantic navigation on a networked representation of information

  • Capitán, José A.
  • Borge-Holthoefer, Javier
  • Gómez, Sergio
  • Martínez-Romo, Juan
  • Araujo, Lourdes
  • Cuesta, José A.
  • Arenas, Alex
The size and complexity of actual networked systems hinders the access to a global knowledge of their structure. This fact pushes the problem of navigation to suboptimal solutions, one of them being the extraction of a coherent map of the topology on which navigation takes place. In this paper, we present a Markov chain based algorithm to tag networked terms according only to their topological features. The resulting tagging is used to compute similarity between terms, providing a map of the networked information. This map supports local-based navigation techniques driven by similarity. We compare the efficiency of the resulting paths according to their length compared to that of the shortest path. Additionally we claim that the path steps towards the destination are semantically coherent. To illustrate the algorithm performance we provide some results from the Simple English Wikipedia, which amounts to several thousand of pages. The simplest greedy strategy yields over an 80% of average success rate. Furthermore, the resulting content-coherent paths most often have a cost between one- and threefold compared to shortest-path lengths., The authors acknowledge financial support through Grant No. FIS2008-01240, FIS2009-13364-C02-01, Holopedia (Grant No. TIN2010-21128-C02-01), MOSAICO (Grant No. FIS2006-01485), PRODIEVO (Grant No. FIS2011-22449), and Complexity-NET RESINEE, all of them from Ministerio de Educacion y Ciencia in Spain, as well as support from Research Networks MODELICO-CM (Grant No. S2009/ESP-1691) and MA2VICMR (Grant Nº. S2009/TIC-1542) from Comunidad de Madrid, and Network 2009-SGR-838 from Generalitat de Catalunya. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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Intraepithelial paracrine Hedgehog signaling induces the expansion of ciliated cells that express diverse progenitor cell markers in the basal epithelium of the mouse mammary gland

  • García-Zaragoza, Elena
  • Pérez-Tavarez, Raquel
  • Ballester, Alicia
  • Lafarga, Vanesa
  • Jiménez-Reinoso, Anaïs
  • Ramírez, Ángel
  • Murillas, Rodolfo
  • Gallego, Marta I.
The Hedgehog signaling pathway regulates embryo patterning and progenitor cell homeostasis in adult tissues, including epidermal appendages. A role for the Hh pathway in mammary biology and breast cancer has also been suggested. The aim of this study was to analyze Hh signaling in the mouse mammary gland through the generation of transgenic mice that express Sonic Hedgehog (Shh) under the control of the mammary-specific WAP promoter (WAP-Shh mice). To identify mammary cells capable of activating the Hh pathway we bred WAP-Shh mice to Ptch1-lacZ knock-in mice, in which the expression of a nuclear-targeted β-galactosidase reporter protein (β-gal) is driven by the endogenous Patched 1 gene regulatory region. After two cycles of induction of transgenic Shh expression, we detected areas of X-gal reactivity. Immunohistochemical analysis showed nuclear β-gal staining in clusters of mammary cells in WAP-Shh/Ptch1-lacZ bitransgenic mice. These were epithelial cells present in a basal location of displastic ducts and alveoli, adjacent to Shh-expressing luminal cells, and overexpressed epithelial basal markers keratin 5, 14 and 17 and transcription factor p63. Absence of smooth muscle actin expression and a cuboidal morphology differentiated Hh-responding cells from flat-shaped mature myoepithelial cells. Groups of cells expressing stem cell markers integrin β3 and keratins 6 and 15 were also detected within Hh-responding areas. In addition, we found that Hh-responding cells in the mammary glands of WAP-Shh/Ptch1-lacZ mice were ciliated and exhibited a low proliferation rate. Our data show the paracrine nature of hedgehog signaling in the epithelial compartment of the mouse mammary gland, where a subset of basal cells that express mammary progenitor cell markers and exhibit primary cilia is expanded in response to secretory epithelium-derived Shh., This work was supported by MCINN Grant no. SAF2006 03244, Fundación Marcelino Botín and Federación Española Cáncer de Mama (FECMA).
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Causas y consecuencias de la siniestralidad laboral en pesca

  • Marugán Pintos, Begoña
  • Ferreros Soto, Mª Luisa
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Multi-agent Based Distributed Semi-automatic Sensors Surveillance System Architecture

  • Tejedor Gómez, Jesús
  • Patricio Guisado, Miguel Ángel
  • Molina López, José Manuel
Proceedings of: Forth International Workshop on User-Centric Technologies and applications (CONTEXTS 2010). Valencia, 07-10 September , 2010., In the present paper, we describes a semi-automated and decision support sensor surveillance architecture used to develop an intelligent sensor surveillance system. The proposed architecture is grouped in three agents layers: the sensors agents layer, sensor processing agents layer and finally, the support assistant agents layers. The sensor agents layer is formed by sensor managing agents and sensor data flow agents that they control the sensor devices and retransmit data streams to upper layer respectively. In sensor processing agents layer is an agents collection that process data flows produced by sensors, allowing elements tracking. The last layer is formed by special agents for helping and supporting the user monitoring and user choice. This architecture proposes a fully decentralized multi-agent system using FIPA Agent Communication Language., This work was supported in part by Projects CICYT TIN2008-06742-C02-02/TSI, CICYT TEC2008-06732-C02-02/TEC, CAM CONTEXTS (S2009/ TIC-1485) and DPS2008-07029-C02-02
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A Model-Free Approach for Accurate Joint Motion Control in Humanoid Locomotion

  • Balaguer Bernaldo de Quirós, Carlos
  • Villagrá Serrano, Jorge
A new model-free approach to precisely control humanoid robot joints is presented in this article. An input&-output online identification procedure will permit to compensate neglected or uncertain dynamics, such as, on the one hand, transmission and compliance nonlinear effects, and, on the other hand, network transmission delays. Robustness toparameter variations will be analyzed and compared to other advanced PID-based controllers. Simulations will show that not only good tracking quality can be obtained with this novel technique, but also that it provides a very robust behavior to the closed-loop system. Furthermore, a locomotion task will be tested in a complete humanoid simulatorto highlight the suitability of this control approach for such complex systems., This work has been supported by the CAM Project S2009/DPI-1559/ROBOCITY2030 II, developed by the research team RoboticsLab at the University Carlos III of Madrid., Publicado
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Propensity to patent, R&D and market competition : dynamic spillovers of innovation leaders and followers

  • Blazsek, Szabolcs
  • Escribano, Álvaro
Dynamic interactions among stock return, Research and Development (R&D) expenses, patent applications based on R&D investment, and the propensity to patent are studied in this work for a panel of firms from the United States. The panel includes technologically similar firms, neck-to-neck, mostly from the drugs product-market sector. Firms’ propensity to patent is modeled by a dynamic latent-factor patent count data model that separates patented and non patented R&D. Patent innovation leader and follower firms are identified according to their knowledge stock. Significant and positive dynamic spillover effects are obtained among patent application leaders and followers. We observe that neck-to-neck firms in patent innovation activity produce an inverted-U relationship between market competition and innovation. Furthermore, firms’ propensity to patent is positively correlated with market competition and there is a positive feedback in both directions. Increasing the degree of competition in the market enhances innovation and patent applications, in order to help firms to appropriate part of the benefits of their R&D investments. On the other hand, firms by increasing their patent applications defend themselves from competitors, trying to improve their market share. However, due to the diffusion of knowledge through patent applications, knowledge spills over to competitors therefore, the degree of competition and innovation increases in the market.
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Bank Competition, Borrower Competition and Interest Rates

  • Bellón, Carlos
The effect bank competition has on interest rates should depend on the fact that borrowers compete against each other. The borrowing rate of a firm affects its ability to compete in the industrial marketplace, and ultimately, its ability to repay its loans. Thus, competition amongst borrowers acts as a limit to the amount of rents financial oligopolists can extract. I find evidence that firms that operate within areas of limited bank competition face higher rates than their peers. I also identify an innovative control group that can be used in tests of bank market structure., I gratefully acknowledge the financial support provided by the Fundación Ramón Areces and the Santander Finance Institute - Fundación UCEIF.
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Multi-camera and Multi-modal Sensor Fusion, an Architecture Overview

  • Luis Bustamante, Álvaro
  • Molina, José M.
  • Patricio Guisado, Miguel Ángel
Proceedings of: Forth International Workshop on User-Centric Technologies and applications (CONTEXTS 2010). Valencia, 07-10 September , 2010., This paper outlines an architecture formulti-camera andmulti-modal sensor fusion.We define a high-level architecture in which image sensors like standard color, thermal, and time of flight cameras can be fused with high accuracy location systems based on UWB, Wifi, Bluetooth or RFID technologies. This architecture is specially well-suited for indoor environments, where such heterogeneous sensors usually coexists. The main advantage of such a system is that a combined nonredundant output is provided for all the detected targets. The fused output includes in its simplest form the location of each target, including additional features depending of the sensors involved in the target detection, e.g., location plus thermal information. This way, a surveillance or context-aware system obtains more accurate and complete information than only using one kind of technology, This work was supported in part by Projects CICYT TIN2008-06742-C02-02/TSI, CICYT TEC2008-06732-C02-02/TEC, SINPROB, CAM CONTEXTS S2009/TIC-1485 and DPS2008-07029-C02-02, Publicado
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