Examinando por Autor "Fernández, Alberto"

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A Directory of Heterogeneous Services
(CEUR Workshop proceedings, 2011) Cong, Zijie; Fernández, Alberto; Soto, Carlos
This paper presents a directory of heterogeneous web services, which addresses the issue of service discovery involving heterogeneous description languages such as OWL-S, SAWSDL, WSDL and plain text. Service descriptions are mapped into a unified description model, which captures various important elements in different service description approaches. Our directory then performs service registration, automatic discovery and manual browsing utilizing these unified models. A preliminary evaluation shows a satisfying result.
A Framework for Dialogue-Based Web Services
(2014) Durán, José Javier; Fernández, Alberto
In this paper we describe a framework for dialogue-based applications that require using Web technologies, such as REST services. Not all services are executed in one-shot (e.g. pipe process). However, many applications can only be pfm g gwkflw.Wpp pcf ch c c, fferaframeworkthat assists in their life-cycle: programming, deployment, search, invocation, and feedback management. A running example is used to illustrate our proposal and assess how it improves the experience of service developers.
A Java simulator of Rescorla and Wagner¿s prediction error model and configural cue extensions
(Elsevier, 2012) Alonso, Eduardo; Mondragón, Esther; Fernández, Alberto
In this paper we present the ¿R&W Simulator¿ (version 3.0), a Java simulator of Rescorla and Wagner¿s error correction model of classical conditioning (Rescorla & Wagner, 1972). It is able to run whole experimental designs, and compute and display the associative values of elemental and compound stimuli simultaneously, as well as use extra configural cues in generating compound values (Wagner & Rescorla, 1972); it also permits to change the US across phases. The simulator produces both numerical and graphical outputs, and includes a functionality to export the results to a data processor spreadsheet. It is user-friendly, and built with a graphical interface designed to allow associative learning experts to input the data in their own ¿language¿. It is a cross- platform simulator, so it does not require any special equipment, operative system or support program, and does not need installation. The ¿R&W Simulator¿ (version 3.0) is available free.
A Proposal for Situation-Aware Evacuation Guidance Based on Semantic Technologies
(Springer, Cham, 2017-06-23) Billhardt, Holger; Dunkel, Juergen; Fernández, Alberto; Lujak, Marin; Hermoso, Ramón; Ossowski, Sascha
Smart Cities require reliable means for managing installations that offer essential services to the citizens. In this paper we focus on the problem of evacuation of smart buildings in case of emergencies. In particular, we present a proposal for an evacuation guidance system that provides individualized evacuation support to people in case of emergencies. The system uses sensor technologies and Complex Event Processing to obtain information about the current situation of a building in each moment. Using semantic Web technologies, this information is merged with static knowledge (special user characteristics, building topology, evacuation knowledge) in order to determine (and dynamically update) the most appropriate individualized evacuation routes for each user.
Agreement Technologies for Coordination in Smart Cities
(MDPI, 2018-05-18) Billhardt, Holger; Fernández, Alberto; Lujak, Marin; Ossowski, Sascha
Many challenges in today’s society can be tackled by distributed open systems. This is particularly true for domains that are commonly perceived under the umbrella of smart cities, such as intelligent transportation, smart energy grids, or participative governance. When designing computer applications for these domains, it is necessary to account for the fact that the elements of such systems, often called software agents, are usually made by different designers and act on behalf of particular stakeholders. Furthermore, it is unknown at design time when such agents will enter or leave the system, and what interests new agents will represent. To instil coordination in such systems is particularly demanding, as usually only part of them can be directly controlled at runtime. Agreement technologies refer to a sandbox of tools and mechanisms for the development of such open multiagent systems, which are based on the notion of agreement. In this paper, we argue that agreement technologies are a suitable means for achieving coordination in smart city domains, and back our claim through examples of several real-world applications.
An Ontology for Value Awareness Engineering
(SciTePress, 2024) Holgado-Sánchez, Andrés; Billhardt, Holger; Ossowski, Sascha; Fernández, Alberto
The field of value awareness engineering claims that intelligent software agents should be endowed with a set of capabilities related to human values, enabling them to identify value-aligned outcomes and, ultimately, to choose their behaviour in value-aware manner. In this work we develop an ontology that links many of the models and concepts that have been proposed in relation to computational value awareness, so as to be able to formalize in a common language the various heterogeneous research proposals in the field. Specifically, we illustrate its capability for describing multi-agent systems from the value-awareness engineering perspective through several case studies grounded in concrete approaches from literature. The ontology, implemented in OWL and extended with SWRL rules, is evaluated following scenarios of the NeOn Methodology and is interconnected with relevant ontologies in the Semantic Web.
Behavioral Matchmaking of Semantic Web Services
(CEUR Workshop proceedings, 2010) Cong, Zijie; Fernández, Alberto
Service matchmaking is an integral link of service discovery, composition, invocation and other similar tasks under Service-Oriented Architecture (SOA). Most current approaches measure the degree of match of two services based merely on their I/O pairs which could leads to false results. This paper presents an approach for matchmaking in Se- mantic Web Services (SWS) that considers each service as a sub-graph of the semantic network of the ontology formed by inputs, outputs, pre- and post-conditions with contribution of syntactical information such as keywords and textual descriptions. The similarity between services is de- ¿¿ned as the similarity between these graphs. The aim of this approach is to reveal the internal work ¿¿ow and intention of service, i.e. behavior, thus it agrees with human intuition to a larger extent than existing approaches.
Bike3S: A tool for bike sharing systems simulation
(Taylor & Francis, 2020-01-30) Fernández, Alberto; Billhardt, Holger; Ossowski, Sascha; Sánchez, Óscar
Vehicle sharing systems are becoming increasingly popular. The effectiveness of such systems depends, among other factors, on different strategic and operational management decisions and policies, like the dimension of the fleet or the distribution of vehicles. It is of foremost importance to be able to anticipate and evaluate the potential effects of such strategies before they can be successfully deployed. In this paper we present Bike3S, a simulator for a station-based bike sharing system. The simulator performs semi-realistic simulations of the operation of a bike sharing system and allows for evaluating and testing different management decisions and strategies. In particular, the simulator has been designed to test different station capacities, station distributions, and balancing strategies. The simulator carries out microscopic agent-based simulations, where users of different types can be defined that act according to their individual goals and objectives which influences the overall dynamics of the whole system.
Bridging the gap between service description models in service matchmaking
(IOS Press, 2012) Fernández, Alberto; Cong, Zijie; Baltá, Analay
In service-oriented architectures (SOA) the process of service discovery involves the matchmaking between service advertisements and service requests. Most approaches assume that both service advertisements and service requests are expressed using the same description language as well as domain ontologies. However, in large-scale open environments that assumption does not hold. In this paper we present a method that addresses the semantic mismatches at service description level. In particular, we focus on the alignment of service description models and service matchmaking on the unified request and advertisements. We propose a matchmaking method that encompasses different semantic, syntactic and hybrid service description languages.
Descripción, Descubrimiento y Composición de Servicios en Entornos Multiagente Abiertos. Un Enfoque Organizacional
(DYKINSON S.L., 2010) Fernández, Alberto
Detecting Narcissist Dark Triad Psychological Traits from Twitter
(SciTePress, 2022) Haz, Lídice; Rodríguez-García, Miguel Ángel; Fernández, Alberto
The fundamental basis of human behavior is personality. This human characteristic influences the tastes and preferences of individuals and the way they interact and communicate with each other. Nowadays, individuals express their feelings, opinions, and ideas to the world by using digital communication platforms such as social media. In recent years, several studies have proposed different models that apply Artificial Intelligence techniques to identify personality traits based mainly on the Big 5 Personality Model and the three subpersonalities of the Dark Triad through the linguistic analysis of their comments online. In this work, we present a study about identifying narcissist dark triad psychological traits. We propose two Machine Learning models to analyze users’ behavior in social media. Concretely, we develop a Support Vector Machine and Naïve Bayes method to classify the comments as having non-narcissist or narcissist traits. To train and test the developed method, we have employed NLP techniques to process comments from Twitter and created a manual dataset. Three different techniques have been designed and applied to label each tweet and comment. Then, we conducted several evaluations in which both models reached promising results.
Distributed Multi-Robot Coordination Combining Semantics and Real-Time Scheduling
(IEEE Explore, 2015-06) Lujak, Marin; Fernández, Alberto
In this paper, we study a distributed intelligent multi-robot system (MRS) in assembly setting where robots have partially overlapping capabilities. We treat the problem of the system’s real-time self-(re)configurability and self-optimization. In this light, we propose an optimized distributed coordination system ORCAS that integrates the MRS configuration based on semantic descriptions and process scheduling. In more detail, initially, robots and the corresponding devices get matched semantically to respond to the assembly requests. Then, the best configurations are chosen by dynamically minimizing total assembly costs and off-line times. During the execution, the performance is controlled for contingencies in case of which the robots, if necessary, self-reconfigure or reschedule the tasks.
Dynamic Coordination in Fleet Management Systems: Toward Smart Cyber Fleets
(IEEE Intelligent Systems, 2014) Billhardt, Holger; Fernández, Alberto; Lemus, Lissette; Lujak, Marin; Osman, Nardine; Ossowski, Sascha; Sierra, Carles
Fleet Management Systems are commonly used to coordinate mobility and delivery services in a broad variety of domains. However, their traditional top-down control architecture becomes a bottleneck in open and dynamic environments, where scalability, proactiveness, and autonomy are becoming key factors for their success. In this paper, we first present an abstract event-based architecture for Fleet Management Systems that supports tailoring dynamic control regimes for coordinating fleet vehicles, and illustrate it for the case of medical emergency management. Then, we go one step ahead in the transition towards automatic or driverless fleets, by conceiving Fleet Management Systems in terms of Cyber-Physical Systems, and putting forward the notion of Cyber Fleets. We illustrate the idea in the field of electro mobility, where we expect drivers of smart e-motorbikes (Cyber Vehicles), equipped with an intelligent communication device (Cyber Helmet), to coordinate in a context-aware manner as part of a decentralised Fleet Management System.
Dynamic Coordination of Ambulances for Emergency Medical Assistance Services
(Elsevier, 2014) Billhardt, Holger; Lujak, Marin; Sánchez-Brunete, Vicente; Fernández, Alberto; Ossowski, Sascha
The main objective of emergency medical assistance (EMA) services is to attend patients with sudden dis- eases at any possible location within an area of influence. This usually consists in providing ``in situ¿¿ assistance and, if necessary, the transport of the patient to a medical center. The potential of such systems to reduce mortality is directly related to the travel times of ambulances to emergency patients. An effi- cient coordination of the ambulance fleet of an EMA service is crucial for reducing the average travel times. In this paper we propose mechanisms that dynamically improve the allocation of ambulances to patients as well as the redeployment of available ambulances in the region under consideration. We test these mechanisms in different experiments using historical data from the EMA service of the Auton- omous Region of Madrid in Spain: SUMMA112. The results empirically confirm that our proposal reduces the average response times of EMA services significantly.
Early Introduction of AI in Spanish Middle Schools. A Motivational Study
(Springer, 2021) Fernández-Martínez, Carmen; Hernán-Losada, Isidoro; Fernández, Alberto
This paper describes the practical initiative to include Artifcial Intelligence (AI) in the Spanish educational system’s curriculum at an early age. This proposal is in line with the current trend of introducing AI in school curricula all over the world. To this end, we propose an Artifcial Intelligence workshop for middle schools within the existing subject, Technology, Programming and Robotics. In order to test the suitability of introducing AI at an early age, we conducted the activities at a bilingual middle school in Madrid. As evaluation tools, a quiz and motivational study of the students concerning AI was carried out using Situational Motivational Scale (SIMS) before and after introducing the activities. Responses of 84 students were analysed and the conclusion was reached that it is slightly better to introduce AI at an early age.
Enabling Web Service Discovery in Heterogeneous Environments
(Inderscience Publishers, 2013) Cong, Zijie; Fernández, Alberto
In large, open environments, service discovery has to face the challenge of heterogeneity. Service advertisements published by different organizations or individuals may differ in their description models, thus expressiveness levels. Even on the same expressiveness level, organizations may use assorted domain ontologies. In addition, a service discovery tool may not have a global view of all service advertisements in the system. Unfortunately, most contemporary service discovery approaches rely on these key factors. This paper presents a method that addresses the mismatch problem in description models. A neutral model is proposed in this work for aligning different service description models. A matchmaking method that encompasses different semantic, syntactic and hybrid service description languages based on this neutral model is also presented. Implementation and evaluation of the proposed method showed a satisfactory result.
Event-Driven Architecture for Decision Support in Traffic Management Systems
(Elsevier, 2011) Dunkel, Jürgen; Fernández, Alberto; Ortiz, Rubén; Ossowski, Sascha
Decision support systems for traffic management systems have to cope with a high volume of events continuously generated by sensors. Conventional software architectures do not explicitly target the efficient processing of continuous event streams. Recently, event-driven architectures (EDA) have been proposed as a new paradigm for event-based applications. In this paper we propose a reference architecture for event-driven traffic management systems, which enables the analysis and processing of complex event streams in real-time and is therefore well-suited for decision support in sensor-based traffic control systems. We will illustrate our approach in the domain of road traffic management. In particular, we will report on the redesign of an intelligent transportation management system (ITMS) prototype for the high-capacity road network in Bilbao, Spain.
Exploiting Organisational Information for Service Coordination in Multiagent Systems
(International Foundation for Autonomous Agents and Multiagent Systems, 2008) Fernández, Alberto; Sascha Ossowski
Service-Oriented Computing and Agent Technology are nowadays two of the most active research fields in distributed and open systems. However, when trying to bridge the two worlds, it becomes apparent that the interaction-centric approach of multiagent systems may affect the way services are modelled and enacted, and vice versa. We claim that organisational models that underlie multiagent interactions are crucial in order to take advantage of this interrelation. In this paper we present an approach for modelling organisational structures in service-oriented multiagent systems, and show how it affects semantic service descriptions. We also present approaches to service matchmaking as well as to service composition, capable of exploiting organisational information in service descriptions. In both cases, we prove experimentally the validity of our approach.
How to Fairly and Efficiently Assign Tasks in Individually Rational Agents’ Coalitions? Models and Fairness Measures
(ComSIS Consortium, 2024) Lujak, Marin; Salvatore, Alessio; Fernández, Alberto; Giordani, Stefano
An individually rational agent will participate in a multi-agent coalition if the participation, given available information and knowledge, brings a pay-off that is at least as high as the one achieved by not participating. Since agents’ performance and skills may vary from task to task, the decisions about individual agent-task assignment will determine the overall performance of the coalition. Maximising the efficiency of the one-on-one assignment of tasks to agents corresponds to the conventional linear sum assignment problem, which considers efficiency as the sum of the costs or benefits of individual agent-task assignments obtained by the coalition as a whole. This approach may be unfair since it does not explicitly consider fairness and, thus, is unsuitable for individually rational agents’ coalitions. In this paper, we propose two new assignment models that balance efficiency and fairness in task assignment and study the utilitarian, egalitarian, and Nash social welfare for task assignment in individually rational agents’ coalitions. Since fairness is a relatively abstract term that can be difficult to quantify, we propose three new fairness measures based on equity and equality and use them to compare the newly proposed models. Through functional examples, we show that a reasonable trade-off between efficiency and fairness in task assignment is possible through the use of the proposed models.
Legal and ethical implications of applications based on agreement technologies: the case of auction‐based road intersections
(Springer, 2020) Santos, José‐Antonio; Fernández, Alberto; Moreno‐Rebato, Mar; Billhardt, Holger; Rodríguez‐García, José‐A.; Ossowski, Sascha
Agreement technologies refer to a novel paradigm for the construction of distributed intelligent systems, where autonomous software agents negotiate to reach agreements on behalf of their human users. Smart Cities are a key application domain for agreement technologies. While several proofs of concept and prototypes exist, such systems are still far from ready for being deployed in the real-world. In this paper we focus on a novel method for managing elements of smart road infrastructures of the future, namely the case of auction-based road intersections. We show that, even though the key technological elements for such methods are already available, there are multiple non-technical issues that need to be tackled before they can be applied in practice. For this purpose, we analyse legal and ethical implications of auction-based road intersections in the context of international regulations and from the standpoint of the Spanish legislation. From this exercise, we extract a set of required modifications, of both technical and legal nature, which need to be addressed so as to pave the way for the potential real-world deployment of such systems in a future that may not be too far away.