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[ES] El taller sobre tecnologías de información y comunicación disruptivas para la innovación y la transformación digital, organizado bajo el alcance del proyecto disruptiva, tiene como objetivo discutir los problemas, desafíos y beneficios del uso de tecnologías digitales disruptivas, a saber, Internet de las cosas, Big data, computación en la nube, sistemas multi-agentes, aprendizaje automático, realidad virtual y aumentada, y robótica colaborativa, para apoyar la transformación digital en curso en la sociedad Temas Intelligent Manufacturing Systems Industry 4.0 and digital transformation Internet of Things Cyber-security Collaborative and intelligent robotics Multi-Agent Systems Industrial Cyber-Physical Systems Virtualization and digital twins Predictive maintenance Virtual and augmented reality Big Data and advanced data analytics Edge and cloud computing, [EN] The workshop on Disruptive Information and Communication Technologies for Innovation and Digital transformation, organized under the scope of the Disruptive project, aims to discuss problems, challenges and benefits of using disruptive digital technologies, namely Internet of Things, Big data, cloud computing, multi-agent systems, machine learning, virtual and augmented reality, and collaborative robotics, to support the on-going digital transformation in society Topics Intelligent Manufacturing Systems Industry 4.0 and digital transformation Internet of Things Cyber-security Collaborative and intelligent robotics Multi-Agent Systems Industrial Cyber-Physical Systems Virtualization and digital twins Predictive maintenance Virtual and augmented reality Big Data and advanced data analytics Edge and cloud computing

Los suplementos nutricionales son formulas que se indican para cubrir las necesidades de energía, vitaminas y minerales, generalmente de forma parcial. La desnutrición es un creciente problema de salud pública y en ocasiones se prescriben suplementos nutricionales en el hogar para tratar la desnutrición. Estos son beneficiosos si se prescriben de manera adecuada, por ello es importante relizar una correcta valoración nutricional de los pacientes, una adecuada prescripción de los suplementos y un seguimiento nutricional de los mismos. El objetivo que se plantea es determinar el nivel de calidad en la indicación de los suplementos nutricionales en pacientes de atención domiciliaria de la provincia de Santa Cruz de Tenerife. En este proyecto se propone un estudio de diseño analítico, restrospectivo, longitudinal, de pacientes que tengan prescritos suplementos nutricionales en la historia electronica DRAGO-AP y estén incluidos en el protocolo de Atención Domiciliaria del Servicio Canario de Salud. Se pretende conocer si se cumplen los criterios que indica el protocolo en la prescripción de suplementos nutrionales. Además de averiguar si se realiza una correcta valoración nutricional, seguimiento, identificar el nivel de adherencia terapéutica cuantificar costos y consecuentemente conocer la calidad de prescripción existente. Para ello se ulilizarán como instrumentos de medida la escala Mini Nutricional Assesment (MNA), las guías del Boletín Canario de uso racional del medicamento del SCS (BOLCAN) y el test de Morinsky-Green-Levin, Con el posterior análisis de los resultados se quiere evaluar la calidad de prescripción existente. Nutritional supplements are formulations that are indicated to meet energy, vitamin and mineral needs, usually on a partial basis. Malnutrition is a growing public health problem and nutritional supplements are sometimes prescribed at home to treat malnutrition. These are beneficial if prescribed appropriately, therefore it is important to perform a correct nutritional assessment of patients, an adequate prescription of supplements and nutritional follow-up of the same. The objective is to determine the level of quality in the indication of nutritional supplements in home care patients in the province of Santa Cruz de Tenerife. This project proposes an analytical, restrospective, longitudinal, analytical design study of patients who have been prescribed nutritional supplements in the DRAGO-AP electronic history and who are included in the Home Care protocol of the Canary Health Service. The aim is to find out whether the criteria indicated in the protocol are fulfilled in the prescription of nutritional supplements. In addition to finding out if a correct nutritional assessment and follow-up is carried out, to identify the level of therapeutic adherence, to quantify costs and consequently to know the quality of the existing prescription. For this purpose, the Mini Nutritional Assessment (MNA) scale, the guidelines of the Boletín Canario de uso racional del medicamento del SCS (BOLCAN) and the Morinsky Green-Levin test will be used as measuring instruments. With the subsequent analysis of the results, the aim is to evaluate the existing prescription quality.

Memoria ID-009. Ayudas de la Universidad de Salamanca para la innovación docente, curso 2021-2022.

[EN] One of the important objectives of smart cities is to provide electronic services to citizens, however, this requires the building of related software which is a time-consuming process. In this regard, smart city infrastructures require development tools that can help accelerate and facilitate software development (mobile, IoT, and web applications). Integrated Development Environments (IDEs) are well-known tools that have brought together the features of various tools within one package. Modern IDEs include the advantages of Artificial Intelligence (AI) and Cloud Computing. These technologies can help the developer overcome the complexities associated with multi-platform software products. This paper has explored AI techniques that are applied in IDEs. To this end, the Eclipse Theia (cloud-based IDE) and its AI-based extensions are explored as a case study. The findings show that recommender system models, language modeling, deep learning models, code mining, and attention mechanisms are used frequently to facilitate programming Furthermore, some researches have used NLP techniques and AI-based virtual assistance to promote the interaction between developers and projects., Supported by the project "Intelligent and sustainable mobility supported by multi-agent systems and edge computing (InEDGEMobility): Towards Sustainable Intelligent Mobility: Blockchain-based framework for IoT Security", Reference: RTI2018-095390-B-C32, financed by the Spanish Ministry of Science, Innovation and Universities (MCIU), the State Research Agency (AEI) and the European Regional Development Fund (FEDER).

Yoga is a practice that is thousands of years old. This practice is also included in the modern mindfulness-based stress reduction training, and its effects on our cognitive system are supported by extensive literature that comprehend mostly fMRI studies and task-oriented experiments with control groups. In this paper, the problem of testing the effects of mindfulness therapy, with specific regard to the yoga practice, is addressed with a Network-Oriented Modelling approach. The first component of the proposed network simulates the elicitation of an extreme stressful emotion due to a strong stress-inducing event. This was done following the same line of previous papers that proposed simulations of similar processes. A second component represents the role of memory, attention and self-awareness in coping with the stressful event. Finally, the yoga practice, divided into physical movements and breathing, is modelled, to show its influence on memory, attention and self-awareness, leading in this way to a reduction of the stress level.

Memoria ID-219. Ayudas de la Universidad de Salamanca para la innovación docente, curso 2019-2020.

Memoria ID-157 Ayudas de la Universidad de Salamanca para la innovación docente, curso 2020-2021.

Memoria ID-197. Ayudas de la Universidad de Salamanca para la innovación docente, curso 2018-2019.

[ES] La serie «El rol de la inteligencia artificial y la computación distribuida en las aplicaciones IoT» contiene publicaciones sobre la teoría y aplicaciones de la computación distribuida y la inteligencia artificial en el Internet de las cosas. Prácticamente todas las disciplinas como la ingeniería, las ciencias naturales, la informática y las ciencias de la información, las TIC, la economía, los negocios, el comercio electrónico, el medio ambiente, la salud y las ciencias de la vida están cubiertas. La lista de temas abarca todas las áreas de los sistemas inteligentes modernos y la informática como: inteligencia computacional, soft computing incluyendo redes neuronales, inteligencia social, inteligencia ambiental, sistemas auto-organizados y adaptativos, computación centrada en el ser humano y centrada en el ser humano, sistemas de recomendación, control inteligente, robótica y mecatrónica, incluida la colaboración entre el ser humano y la máquina, paradigmas basados en el conocimiento, paradigmas de aprendizaje, ética de la máquina, análisis inteligente de datos, gestión del conocimiento, agentes inteligentes, toma de decisiones inteligentes y apoyo, seguridad de la red inteligente, gestión de la confianza, entretenimiento interactivo, inteligencia de la Web y multimedia. Las publicaciones en el marco de «El rol de la inteligencia artificial y la computación distribuida en las aplicaciones IoT» son principalmente las actas de seminarios, simposios y conferencias. Abarcan importantes novedades recientes en la materia, tanto de naturaleza fundacional como aplicable. Un importante rasgo característico de la serie es el corto tiempo de publicación. Esto permite una rápida y amplia difusión de los resultados de las investigaciones, [EN] The series «The Role of Artificial Intelligence and Distributed Computing in IoT Applications» contains publications on the theory and applications of distributed computing and artificial intelligence in the Internet of Things. Virtually all disciplines such as engineering, natural sciences, computer and information sciences, ICT, economics, business, e-commerce, environment, health and life sciences are covered. The list of topics covers all areas of modern intelligent systems and computer science: computational intelligence, soft computing including neural networks, social intelligence, ambient intelligence, self-organising and adaptive systems, human-centred and people-centred computing, recommendation systems, intelligent control, robotics and mechatronics including human-machine collaboration, knowledge-based paradigms, learning paradigms, machine ethics, intelligent data analysis, knowledge management, intelligent agents, intelligent decision making and support, intelligent network security, trust management, interactive entertainment, web intelligence, and multimedia. The publications in the framework of «The Role of Artificial Intelligence and Distributed Computing in IoT Applications» are mainly the proceedings of seminars, symposia and conferences. They cover important recent developments in the field, whether of a foundational or applicable character. An important feature of the series is the short publication time. This allows for the rapid and wide dissemination of research results.

Investigaciones recientes intentan demostrar que las arquitecturas de Edge Computing representan soluciones óptimas para minimizar la latencia, mejorar la privacidad y reducir el ancho de banda y los costos relacionados con los desarrollos para escenarios basados en el Internet de las Cosas (IoT), tales como: ciudades inteligentes, consumo eficiente de energía, agricultura inteligente o industria 4.0. Este trabajo es una revisión de las principales arquitecturas de referencia existentes de Edge Computing dirigidas a la Industria 4.0 propuestas por el Edge Computing Consortium, el Proyecto FAR-Edge Project, el Industrial Internet Consortium y finalmente por la asociación entre INTEL y SAP. Este trabajo incluye una comparación entre estas arquitecturas de referencia, así como sus características más importantes con el objetivo de proponer como trabajo futuro, el diseño de una Arquitectura de Referencia de Edge Computing aplicable a otros escenarios que no necesariamente estén relacionados con la industria 4.0.

Actas de los trabajos de TFM del Máster Universitario en Sistemas Inteligentes 2017-2018, [ES]El Máster Oficial en Sistemas Inteligentes de la Universidad de Salamanca tiene como principal objetivo promover la iniciación de los estudiantes en el ámbito de la investigación. El congreso organizado por el Departamento de Informática y Automática que se celebra dentro del Máster en Sistemas Inteligentes de la Universidad de Salamanca proporciona la oportunidad ideal para que sus estudiantes presenten los principales resultados de sus Trabajos de Fin de Máster y obtengan una realimentación del interés de los mismos. La duodécima edición del workshop Avances en Informática y Automática, correspondiente al curso 2017-2018, ha sido un encuentro interdisciplinar donde se han presentado trabajos pertenecientes a un amplio abanico de líneas de investigación. Todos los trabajos han sido supervisados por investigadores de reconocido prestigio pertenecientes a la Universidad de Salamanca, proporcionando el marco idóneo para sentar las bases de una futura tesis doctoral. Entre los principales objetivos del congreso se encuentran: Ofrecer a los estudiantes un marco donde exponer sus primeros trabajos de investigación. Proporcionar a los participantes un foro donde discutir ideas y encontrar nuevas sugerencias de compañeros, investigadores y otros asistentes a la reunión. Permitir a cada estudiante una realimentación de los participantes sobre su trabajo y una orientación sobre las futuras direcciones de investigación. Contribuir al desarrollo del espíritu de colaboración en la investigación.

Memoria ID-0210. Ayudas de la Universidad de Salamanca para la innovación docente, curso 2017-2018.

[ES]Los ejes principales del comercio electrónico B2C durante años han sido el transporte aéreo, agencias de viajes y operadores turísticos. Los juegos de azar y apuestas y los ingresos por la venta de ordenadores y programas informática están creciendo también a un ritmo importante. La evolución del comercio electrónico medida por el número de operaciones tiene la misma tendencia creciente que el análisis realizado por ingresos. Los ingresos del comercio electrónico crecen, lo que denota la mayor confianza que tienen los consumidores para utilizar estos medios de pago. La tecnología actual está haciendo que esta forma de negocio crezca exponencialmente en la mayor parte de los sectores y países. En este capítulo se analiza tanto la tecnología existente como la evolución de la misma., [EN]The main axes of B2C e-commerce for years have been air transport, travel agencies and tour operators. Gambling and betting and income from the sale of computers and software are also growing at a significant rate. The evolution of e-commerce measured by the number of operations has the same growing trend as the analysis by revenue. Revenues from e-commerce are growing, reflecting the greater confidence that consumers have in using these means of payment. Current technology is making this form of business grow exponentially in most sectors and countries. This chapter examines both existing technology and its evolution.

Memoria ID-0203. Ayudas de la Universidad de Salamanca para la innovación docente, curso 2016-2017.

One way to reduce the computational load of the agents is the distribution of their services. To achieve this goal, the functionality of a MAS (multiagent system) should not reside in the agents themselves, but ubiquitously be distributed so that allows the system to perform tasks in parallel avoiding an additional computational cost. The distribution of services that offers SCODA (Distributed and Specialized Agent Communities) allows an intelligent management of these services provided by agents of the system and the parallel execution of threads that allow to respond to requests asynchronously, which implies an improvement in the performance of the system at both the computational level as the level of quality of service in the control of these services. The comparison carried out in the case of study that is presented in this paper demonstrates the existing improvement in the distribution of services on systems based on SCODA.

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.

Objective: To assess the reliability and validity of the tool Automatic image analyzer to assess retinal vessel caliber (ALTAIR) to analyze the vascularization of the retina and cardiovascular risk prediction. Design and method: Cross-sectional of tools validation study. We included 250 subjects in total, aged 62 +/- 9 years, 51% males. We have made a validation of reliability analyzing the intraclass correlation (ICC) intra observer, inter observer and inter device (compared with AVindex calculator) to the thickness, area and length of arteries and veins of the retina in 3 concentric circles from the disc in 120 retinographies. The concurrent validity was performed with 250 subjects and 497 retinographies, analyzing the relationship with age, blood pressure, parameters of vascular structure and function, renal function and cardiovascular risk estimated with scales. Results: In the sample, the 32% are obese, 68% hypertensive and 17% diabetic. The interobserver ICC for thickness, area and length of veins and arteries ranged from 0.809 to length of arteries to 0.916 to veins area. The intra observer ICC for intra thickness, area and length of veins and arteries ranged from 0.640 for the length of the veins and 0.906 for the area of the arteries and the inter device ICC was for arteriovenous ratio (AVR) 0.887, thickness of arteries 0.590 and veins thickness 0.677. We found a moderate correlation of the age (r between 0.30 and 0.50, p < 0.001) with the retinal vascular parameters analyzed. In multiple linear regression analysis after adjusting for age and sex, the association of AVR and arterial thickness with the diastolic blood pressure and albumin creatinine ratio and arterial area and length with systolic arterial blood pressure and carotid intima-media thickness remains. Also the thickness area and length of the vessels show an association with cardiovascular risk estimated SCORE scale. Conclusions: The ALTAIR tool shows a good reliability in the concordance inter observers, intra observer and inter device measurements and a concordant validity to show an association with vascular parameters, target organ damage and cardiovascular risk.

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.

As a popular nonlinear estimation tool, the sampling importance resampling (SIR) filter has been applied with the expectation–maximization (EM) principle, including the typical maximum a posteriori (MAP) estimation and maximum likelihood (ML) estimation, for estimating the parameters of the state space model (SSM). This paper concentrates on an inevitable bias existing in the EM-SIR filter for estimating the dynamics process of the SSM. It is analyzed that the root reason for the bias is the sample impoverishment caused by the resampling procedure employed in the filter. A process noise simulated for the particle propagation that is larger than the real noise involved with the true state will be helpful to counteract sample impoverishment, thereby providing better filtering result. Correspondingly, the EM-SIR filter tends to yield a biased (larger-than-the-truth) estimate of the process noise if it is unknown and needs to be estimated. The bias is elaborated via a straightforward roughening approach by means of both qualitative logical deduction and quantitative numerical simulation. However, it seems hard to fully remove this bias in practice.

The paradigm of Learning Object provides Educators and Learners with the ability to access an extensive number of learning resources. To do so, this paradigm provides different technologies and tools, such as federated search platforms and storage repositories, in order to obtain information ubiquitously and on demand. However, the vast amount and variety of educational content, which is distributed among several repositories, and the existence of various and incompatible standards, technologies and interoperability layers among repositories, constitutes a real problem for the expansion of this paradigm. This study presents an agent-based architecture that uses the advantages provided by Cloud Computing platforms to deal with the open issues on the Learning Object paradigm.

Memoria ID-0229. Ayudas de la Universidad de Salamanca para la innovación docente, curso 2014-2015.

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.

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.

This paper presents a brief summary of the post-proceedings of the International Symposium on Distributed Computing and Artificial Intelligence (DCAI 2014) and the Workshop on Intelligent Systems for Context-based Information Fusion (ISCIF) held in Salamanca in June from 4th to 6th, 2014. This special issue presents a selection of the best papers selected from those that were accepted on the symposium focused on image processing and robotics.

The 12th International Symposium on Distributed Computing and Artificial Intelligence 2015 (DCAI 2015) is a forum to present applications of innovative techniques for studying and solving complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to facilitate the development of systems that can meet the ever-increasing demands of today’s society. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This symposium is organized by the Osaka Institute of Technology, Qatar University and the University of Salamanca.

In the past, computational barriers have limited the complexity of video and image processing applications but recently, faster computers have enabled researchers to consider more complex algorithms which can deal successfully with vehicle and pedestrian detection technologies. However, much of the work only pays attention to the accuracy of the final results provided by the systems, leaving aside the computational efficiency. Therefore, this paper describes a system using a paradigm of multi-agent system capable of regulating itself dynamically taking into account certain parameters pertaining to detection, tracking and classification, to reduce the computational burden as low as possible at all times without this in any way compromise the reliability of the result.

City lighting represents an important part of the maintenance and energy budget for many towns. For these reasons, it is important to monitor and manage the energy consumption in order to reduce the consumption with a low impact to the users. The proposed system allows monitoring and managing the lighting to reduce consumption and the cost of the maintenance and management. The system was tested in a real environment and incorporates the software and hardware to carry out the needed functionality

This paper presents a brief summary of the post-proceedings of the International Symposium on Distributed Computing and Artificial Intelligence DCAI 2014) and the workshop in Intelligent Human-Agent Societies (WIHAS) held in Salamanca in June from 4th to 6th, 2014.

This paper presents a brief summary of the post-proceedings of the International Symposium on Distributed Computing and Artificial Intelligence (DCAI 2013) held in Salamanca in March 22nd-24th, 2013. This special issue presents a selection of the best papers selected from those that were accepted on the symposium focused on image processing and robotics.

A Cloud Computing system must readjust its resources by taking into account the demand for its services. This raises the need for designing protocols that provide the individual components of the Cloud architecture with the ability to self-adapt and to reach agreements in order to deal with changesin the services demand. Furthermore, if the Cloud provider has signed a Service Level Agreement with the clients of the services that it offers, the appropriate agreement mechanism has to ensure the provision of the service contracted within a specified time. This paper introduces real-time mechanisms for the agreement and fulfilment of SLAs in Cloud Computing environments. On the one hand, it presents a negotiation protocol inspired by the standard WS-Agreement used in web services to manage the interactions between the client and the Cloud provider to agree the terms of the SLA of a service. On the other hand, it proposes the application of a real-time argumentation framework for redistributing resources and ensuring the fulfilment of these SLAs during peaks in the service demand.

[ES]El Máster Oficial en Sistemas Inteligentes de la Universidad de Salamanca tiene como principal objetivo promover la iniciación de los estudiantes en el ámbito de la investigación. El congreso organizado por el Departamento de Informática y Automática que se celebra dentro del Máster en Sistemas Inteligentes de la Universidad de Salamanca proporciona la oportunidad ideal para que sus estudiantes presenten los principales resultados de sus Trabajos de Fin de Máster y obtengan una realimentación del interés de los mismos. La octava edición del workshop “Avances en Informática y Automática”, correspondiente al curso 2013 - 2014, ha sido un encuentro interdisciplinar donde se han presentado trabajos pertenecientes a un amplio abanico de líneas de investigación, desde los sistemas multiagente, la visualización de la información o la minería de datos hasta la lógica, el reconocimiento de patrones o las redes neuronales. Todos los trabajos han sido supervisados por investigadores de reconocido prestigio pertenecientes a la Universidad de Salamanca, proporcionando el marco idóneo para sentar las bases de una futura tesis doctoral. Entre los principales objetivos del congreso se encuentran: ofrecer a los estudiantes un marco donde exponer sus primeros trabajos de investigación. Proporcionar a los participantes un foro donde discutir ideas y encontrar nuevas sugerencias de compañeros, investigadores y otros asistentes a la reunión. Permitir a cada estudiante una realimentación de los participantes sobre su trabajo y una orientación sobre las futuras direcciones de investigación. Contribuir al desarrollo del espíritu de colaboración en la investigación.

Quartz crystal microbalance (QCM) sensors are used to measure and classify odors. In this paper, we use seven QCM sensors and three kinds of odors. The system has been developed as a virtual organization of agents using the agent platform called PANGEA (Platform for Automatic coNstruction of orGanizations of intElligents Agents), which is a platform to develop open multi-agent systems, specifically those including organizational aspects. The main reason that justifies the use of the agents is the scalability of the platform; that is, the way in which it models the services. The functionalities of the system are modeled as services inside the agents, or as SOA (Service Oriented Approach) architecture compliant services using Web Services. In this way, it is possible to improve odor classification systems with new algorithms, tools and classification techniques.

Nowadays Cloud Computing has gained in importance at a remarkable pace. The key characteristic of this technology is the possibility to provide new resources to the services in an elastic way according to current demand. In contrast to Cloud Computing, Multiagent Systems are focus on other features such as autonomy, decentralization, auto-organization, etc. This study demonstrates that this features of MAS are suitable to manage the physical infrastructure of a Cloud Computing environment, in other words, we present +Cloud which is a cloud platform managed by a Multiagent System.

This paper presents an adaptive architecture that allows centralized control of public lighting and intelligent management, in order to economise on lighting and maintain maximum comfort status of the illuminated areas. To carry out this management, 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 Aproach (SOA). It performs optimization both energy consumption and economically from a modular architecture and fully adaptable to the current lighting systems possible. The architecture has been tested and validated successfully and continues its development today.

An increase in the frequency of oil spills in the sea, which adversely affects the maritime environment, led to the motivation for this article. Recent advances in technology have now made it possible to provide Unmanned Aerial Vehicles (UAV) systems with great processing capacity. They include all the features of a complete computer, while maintaining a really small size as required by this kind of system. This investigation takes advantage of the functionalities provided by existing MultiAgent Systems (MAS) to accomplish tasks between UAVs. The article presents a case study that uses the capabilities to perform the detection of oil spills.

The specialization exists in biological systems and in human organizations, as a methodology to improve processes and optimize their aims. This specialization in artificial intelligent systems such as multi-agent systems, can improve their aims, depending on the type of specialization and the goals which they need to achieve. The enterprise networks are a collaboration model between companies which we can apply over these intelligent systems, so that, these systems can achieve more complex aims. Therefore, in this collaboration type, is necessary to consider their specialization type, and how they could collaborate to achieve aims, that by themselves would not be possible.

This paper presents an intelligent multi-agent system that is aimed at improving healthcare and assistance to elderly and dependent people in geriatric residences and at their homes. The system is based on the PANGEA multi-agent architecture, which provides a high-level framework for intelligent information fusion and management. The system makes use of wireless sensor networks and a real-time locating system to obtain heterogeneous data, and is able to provide autonomous responses according to the environment status. The high-level development of the system that extracts and stores information plays an essential role to deal with the avalanche of context data. In our case, the multi-agent system approach results satisfactorily because each agent that represents an autonomous entity with different capabilities and offers different services works collaboratively with each other. Several tests have been performed on this platform to evaluate/demonstrate its validity.