Collaborative Intelligence

The last several years have revealed information technology and scientific data to be important allies. However, the most important scientific ally is that which can assist in the complex task of identifying, collecting and treating the exponential amount of data added to the Web every day in the XXI century. Moreover, the volume of this data exceeds 2.5 x 1018 new bytes per day and arrives on the Web at a rapid speed. Thus, it is necessary to assess the veracity of these data and their value to decision-making. Although approximately 43% of the data are related to health and about one million scientific articles published per year are in the health field, it is important to think beyond trivial models to solve problems of local health with a global focus. Thus, this work aims to contribute to the reflection on the use of free tools as well as to discussions of collaborative and effective partnerships for action in the field of Public Health. This study shows opportunities to use op...

El artículo "Arquitecturas narrativas bioinspiradas: Modelos de difusión asistidos por aprendizaje profundo de lenguaje en el diseño especulativo" explora la integración de la inteligencia artificial generativa (IAG) en la educación arquitectónica para abordar los desafíos del Antropoceno. Propone una metodología innovadora que combina diseño especulativo, biomímesis y narrativas arquitectónicas bioinspiradas, utilizando herramientas como GPT-4 y Midjourney V.6. A través del taller "Refugio para el cuerpo y la imaginación", se evalúa la eficacia de esta metodología en el desarrollo de hábitats biodigitales. Los resultados muestran que la IAG puede enriquecer el proceso creativo, generando narrativas y visualizaciones complejas. Sin embargo, se plantean cuestiones éticas sobre la autoría y la homogeneización del diseño. El estudio sugiere que esta integración puede fomentar una arquitectura más sostenible y adaptativa, aunque requiere un enfoque crítico y ético para mantener la conexión con los sistemas naturales.

The strategic decision support needs to exploit the information emanating from the company environment, that we also call external information. This is the workhorse of economic intelligence (EI). Our research work aims to produce an approach for identifying useful information for decision-maker who is often confronted with decisional situations on strategic level. The target of this paper is to show how the risks management contributes to acquisition of useful information for the strategic decision-making. This approach relies on a process by using four models (the model of strategic objectives, the model of the tree of strategic objectives, the model of useful information and model of risks). It also proposes a language of analysis and decomposition of strategic objectives. To evaluate our approach, we present a case study about the process of response to call for tender (RCT). This case study consists in identifying and specifying the useful information asked for in the process RCT.

Página 1 de 200 P Pr ro om mo oc ci ió ón n t tu ur rí ís st ti ic ca a s so os st te en ni ib bl le e: : i iN Na at tu ur rh ho ou us se e I. INTRODUCCION Y EVALUACION DE RECURSOS ENERGETICOS 1. Objetivo y planteamiento del proyecto 8 2. Evaluación de los recursos energéticos 21 II. ARQUITECTURA BIOCLIMATICA Y DISEÑO DE LAS INSTALACIONES 3. Arquitectura bioclimática 41 4. Energía solar térmica 67 5. Generación eléctrica y diseño de las instalaciones 81 III. SUMINISTRO ELECTRICO Y COMUNICACIONES 6. Calidad de suministro eléctrico, operación y mantenimiento 132 7. Estación meteorológica y conectividad de la i-Naturhouse 152 IV. EFICIENCIA Y VIABILIDAD ECONOMICA 8. Eficiencia y ahorro energético 163 9. Estudio económico y viabilidad del proyecto 171

The teaching experience to be analyzed is a teaching innovation project, developed with Project-Based Learning (PBL) and Service-Learning (ApS) methodology, in which two first-year subjects, an art center, an NGO and a time bank participated. This work consisted in the realization and donation of drawings made by students of the subject to adapt the interiors of the shelters of an NGO. It has been carried out through the graphic analysis of 3 murals of a Spanish artist of the twentieth century linked to the world of architecture. The paper analyzes this project in depth and evaluates the positive aspects and areas for improvement of the experiences, providing qualitative assessment data from the students. La experiencia docente que se propone analizar es un proyecto de innovación docente, desarrollado con metodología de Aprendizaje Basado en Proyectos (PBL) y Aprendizaje-Servicio (ApS), en el que participaron dos asignaturas de primero, un centro de arte, una ONG y un banco de tiemp...

The precise and detailed exploration of any territory reveals a plethora of geographical, urban, and architectural sedimentated lessons awaiting to be descovered. After an apparent consistency forged by time, constant and rigorous work reveals the fragile and delicate layers that make up it. Following the logic of water, this research addresses the study of the different dynamics superimposed on the territory of the Ebro Basin. Study performed over three consecutive courses, in the classroom, on screens and on the site. From the cartographical redrawing to the architectural detail of the proposals -going through the study of agricultural traces and the urban form, the urban fabrics, and the public space of its towns and cities- the course proposed, from a trans-scalar logic, the Ebro Basin as a large territorial laboratory, a complex pedagogical basis from which to critically review the existing reality and propose growth and transformation strategies. La exploración precisa y detal...

Esta experiencia que aquí se presenta viene propiciada por la concurrencia de diversas oportunidades que han facilitado el desencadenamiento de un proceso de aprendizaje que ha incorporado simultáneamente aspectos de ApS (aprendizaje y servicio), AV (aula virtual) y ACCA (aprendizaje colaborativo) en un entorno de educación arquitectónico. La experiencia no surge de un proceso reflexivo cosciente sino fruto de una demanad oportuna que permitió enlazar aspectos docentes innovadores que habían sido rodados anteriormente. La experiencia se ha desarrollado en un contexto temporal y espacial muy reducido, pero presenta aspectos potencialmente escalables para ser repetida en otras circunstancias menos excepcionales. This learning experience was developed on a spring semester course during the academic year 2020-21, in the framework of an architectural master’s programme, and was propitiated by the competition of various opportunities that have facilitated the triggering of a learning proc...

Culinary rituals and their associated spaces are a pretext to propose a line of a collaborative study of end-of-cycle projects that relies on travel as a research tool. In April 2021, a team of European and Latina American women, seven architects, an art historian and an artist, initiated a virtual collaborative symposium with this shared theme, culinary rituals. The pilot experience generated a learning community diverse in its geolocation and approaches, and the builder of web space for architectural practice is still active. The virtual meetings built an innovative space for architectural research practice. This experience took as a case study the kitchen, a traditionally feminine place of action, based on the culinary rituals discovered while travelling. Through the idea of travel, we move from a teaching of the effect to the affective.  Los rituales culinarios y sus espacios asociados son un pretexto para plantear una línea de estudio colaborativo de trabajos fin de ciclo que s...

Objectius El curs planteja una revisió crítica de l’ocupació del territori a partir de l’estudi pràctic de models de creixement diversos: el polígon residencial, el polígon industrial, la ciutat jardí, i les vores entòpiques dels teixits urbans. El curs suggereix la necessitat d’una reactivació territorial, associada a la de-creixement, i la re-densificació urbana. Es proposa analitzar acuradament aquest assentaments treballant en diferents escales, començant pel reconeixement de l’escala territorial fins arribar a la tipologia residencial i el detall arquitectònic. En aquest sentit, el curs és un exercici que abasta alhora el planejament i el projecte arquitectònic.   Base pedagògica El treball a diferents escales suggereix que els exercicis es puguin desenvolupar en grup en primera instància, i individualment quan l’estudiant s’enfronta a l’escala de l’espai públic i l’objecte arquitectònic. El curs fomenta el debat reflexiu col·lectiu i individual, i incorpora la recerca com a un...

The year 2020 was marked by virtuality, a situation derived from the pandemic caused by the Covid-19 virus. This situation brought with it an infinity of structural problems in terms of the digital and spatial divide. From the shared experience, it was sought to achieve a dynamic collaborative activity where the differences and cultural coincidences of two academic units from two continents (Europe and South America) were able to achieve a synergy that would enhance critical thinking. During this linking experience, the question arose if information technology produces mutations in the Design Process. This new paradigm has had implications not only in the practice of architecture, but also in its teaching. In this way, mixed work cells were created, presenting a unique architectural project. The interchangeable corrections were closed with qualifications through the disappearance of limits and borders, and the combination in a single teaching entity. El año 2020 estuvo marcado por l...

El treball proposat per a aquest Taller Vertical Social planteja el reconeixement d'un territori en expansió, que en la majoria dels casos creix sense la planificació adequada, en condicions d'autogestió que a poc a poc consoliden fragments de la ciutat que se sumen a la dinàmica econòmica , cultural i social. Alhora que els entorns d'aquestes zones frontera del que és urbà es consoliden en colònies de la taca urbana, sovint no tenen les dotacions apropiades de serveis i equipaments, connectivitat urbana, mobilitat, cohesió social, seguretat pública i ocupació. El canvi d'ús del sòl rural a urbà és un fenomen habitual en aquestesàrees perifèriques de la ciutat, generalment com a resultat de la migració de persones tant d'altres localitats com de la mateixa. Els assentaments humans fixen com a primera necessitat l'habitatge i els serveis que requereixen, inicien així un procés de transformació permanent on les persones es van adaptant a les condicions que a po...

We report findings from a case study of a large agile information systems development (ISD) organization´s sudden transformation to distributed, digital work in the context of the Covid-19 pandemic. It seeks to understand how knowledge creation and sharing changes. The findings show various forms of distance being introduced, digital tool usage, increased task orientation, and variations across teams. To analyze the findings, we use the concepts of large-scale collaborations and sociability. Large-scale collaboration offers a socio-technical perspective on tackling distributed knowledge sharing and creation in the presence of multiple, loosely coupled partners using digital tools for collaboration. We show what the digital tools afford using the concept of sociability. We discuss how distributed digital practices make teams more task-oriented and that creating and maintaining sociability, a key issue for knowledge sharing in agile ISD organizations, require relation-oriented communication during practical problem solving using digital tools.

In this paper we discuss the problem of collaborative monitoring of applications that are suspected of being malicious. New operating systems for mobile devices allow their users to download millions of new applications created by a great number of individual programmers and companies, some of which may be malicious or flawed. The importance of defense mechanisms against an epidemic spread of malicious applications in mobile networks was recently demonstrated by Wang et. al [21]. In many cases, in order to detect that an application is malicious, monitoring its operation in a real environment for a significant period of time is required. Mobile devices have limited computation and power resources and thus can monitor only a limited number of applications that the user downloads. In this paper we propose an efficient collaborative application monitoring algorithm called TPP-Time-To-Live Probabilistic Flooding, harnessing the collective resources of many mobile devices. Mobile devices activating this algorithm periodically monitor mobile applications, derive conclusion concerning their maliciousness, and report their conclusions to a small number of other mobile devices. Each mobile device that receives a message (conclusion) propagates it to one additional mobile device. Each message has a predefined TTL. The algorithm's performance is analyzed and its time and messages complexity are shown to be significantly lower compared to existing state of the art information propagation algorithms. The algorithm was also implemented and tested in a simulated environment.

In this paper we discuss the problem of collaborative monitoring of applications that are suspected of being malicious. New operating systems for mobile devices allow their users to download millions of new applications created by a great number of individual programmers and companies, some of which may be malicious or flawed. The importance of defense mechanisms against an epidemic spread of malicious applications in mobile networks was recently demonstrated by Wang et. al [21]. In many cases, in order to detect that an application is malicious, monitoring its operation in a real environment for a significant period of time is required. Mobile devices have limited computation and power resources and thus can monitor only a limited number of applications that the user downloads. In this paper we propose an efficient collaborative application monitoring algorithm called TPP-Time-To-Live Probabilistic Flooding, harnessing the collective resources of many mobile devices. Mobile devices activating this algorithm periodically monitor mobile applications, derive conclusion concerning their maliciousness, and report their conclusions to a small number of other mobile devices. Each mobile device that receives a message (conclusion) propagates it to one additional mobile device. Each message has a predefined TTL. The algorithm's performance is analyzed and its time and messages complexity are shown to be significantly lower compared to existing state of the art information propagation algorithms. The algorithm was also implemented and tested in a simulated environment.

This article is part of a series of historical investigations that discuss the teaching traditions in Mexico. It is based on the original bibliographic review of the Autogobierno and on an interview with one of the main teachers of the movement, Carlos González Lobo. It briefly describes the socio-political context and the process of formation of the movement and emphasizes the contents, teaching methods and results of its Integral Studios developed between 1973 and 1985. Este artículo forma parte del conjunto de investigaciones históricas que reflexionan en torno a las tradiciones docentes en México. Se basa en la revisión bibliográfica original del Autogobierno y en la realización de una entrevista a uno de los docentes protagonistas del movimiento, Carlos González Lobo. Describe brevemente el contexto sociopolítico y el proceso de formación del movimiento y hace énfasis en los contenidos, métodos de enseñanza y resultados de sus Talleres Integrales desarrollados entre 1973 y 1985.

The last several years have revealed information technology and scientific data to be important allies. However, the most important scientific ally is that which can assist in the complex task of identifying, collecting and treating the exponential amount of data added to the Web every day in the XXI century. Moreover, the volume of this data exceeds 2.5 x 1018 new bytes per day and arrives on the Web at a rapid speed. Thus, it is necessary to assess the veracity of these data and their value to decision-making. Although approximately 43% of the data are related to health and about one million scientific articles published per year are in the health field, it is important to think beyond trivial models to solve problems of local health with a global focus. Thus, this work aims to contribute to the reflection on the use of free tools as well as to discussions of collaborative and effective partnerships for action in the field of Public Health. This study shows opportunities to use op...

Bots are fast becoming the infamous insurgents lurking around network infrastructures and the internet, with arguably at least one of such compromised machines sitting in homes and offices around the world. These malicious network tenants have shown similar resilience to such real-life terrorist networks as ISIS, Al-Qaeda, Boko Haram, and other armed conflict groups. This paper discusses perspectives, and provides insights into how Botnets are not very different from real-life terrorist networks, and why similar efforts to those which have been used to laudably impair and destabilise terrorist networks globally can equally be applied towards ridding network infrastructures and the internet of these malignant insurgents (especially those of the order of sophistication of Conficker). A review of existing literature juxtaposed with verifiable facts put together from an interpretivist and analytical standpoint, form the crux of the methodology that is used in investigating the cardinal discourse of this study.

Many enterprises are reflected on strategies and tools that facilitate the knowledge sharing and exploiting the collective intelligence among their actors. Economic intelligence actors collaborate to solve a decisional problem, they use significant mental effort, and so they share a common knowledge that can indicate to other actors directions to follow or avoid. Indeed, whenever an actor explores knowledge or a relevant document, it enriches the collective knowledge of the memory via annotations. To ensure this collaboration in solving a decisional problem among actors in a context of economic intelligence, in this article we propose a conceptual model using ontologies to represent collaborative semantic annotations between economic intelligence actors in order to capitalise on and reuse the knowledge shared in a collective memory.

From the experience gained since the beginning of the pandemic, we can affirm that not everything can be taught online or everything in person. Now, there is a gap that it is important to identify in a teaching that articulates the fase-to-face-online and to know the optimal dosaje to guarantee quality training. Everything indicates that both systems should converse in a hybrid methodology, or, better said, balanced or harmonized. The challenge is to define the proportion of each thing, both in time and intensity. It seems that, in the conquest of this necessary balance or harmony, “collaborative intelligence” offers unsuspected rules of the game. Increasingly we can find this questioning in various institutions around the world and not only referred to the field of architecture education but in all those áreas in which, in the transition from knowing to doing, they seek new meanings.

De la experiencia aquilatada desde el comienzo de la pandemia podemos afirmar que no se puede enseñar todo online o todo de forma presencial. Ahora bien, hay una brecha que es importante identificar en una enseñanza que articule lo presencial-online y saber la dosificación óptima para garantizar una formación de calidad. Todo indica que deberían conversar ambos sistemas en una metodología híbrida, o, mejor dicho, equilibrada o armonizada. El desafío está en definir la proporción de cada cosa, tanto en tiempo como en intensidad. ¡Pareciera ser que, en la conquista de éste necesario equilibrio o armonía, la “inteligencia colaborativa! Ofrece insospechadas reglas del juego. Cada vez más podemos encontrar este cuestionamiento en diversas instituciones en todo el mundo y no sólo referido al ámbito de la enseñanza de la arquitectura, sino en todos aquellos ámbitos en los que, en el tránsito del saber al hacer, buscan nuevos significados. [-]

Доклад по покана, поместен в сборника на Националната конференция "Образованието в информационното общество", Пловдив, май, 2009This paper presents a vision for the future of the e-books as part of the growing collective intelligence. The vision entails further development of technologies that will facilitate the creation and use of a new generation of ‘smart’ books: e-books that are evolving, highly interactive, customisable, adaptable, intelligent, and furnished with a rich set of collaborative authoring and reading support services. The proposed set of tools will be integrated into an intelligent framework for collaborative book authoring and experiencing called SmartBook. The paper also discusses the opportunities to use SmartBook as a educational hypermedia.Асоциация "Развитие на информационното общество", Институт по математика и информатика при БАН, Пловдивски университе

Over the past decades, a prevalent amount of work has been done in the data clustering research under the unsupervised learning technique in Data mining. Moreover a myriad of algorithms and methods has been proposed focusing on clustering different data types, representation of cluster models, and accuracy rates of the clusters. However no single clustering algorithm proves to be the most efficient in providing best results. Accordingly in order to find the solution to this issue a new technique, called Cluster ensemble method was bloomed. This cluster ensemble is a good alternative approach for facing the cluster analysis problem. The main aspire of the cluster ensemble is to combine different clustering solutions in such a way to achieve accuracy and to improve the quality of individual data clustering. Due to the substantial and unremitting development of the new methods in the sphere of data mining, it is obligatory to make a critical analysis of the existing techniques and the ...

In this paper, I will propose a series of Artificial Computer Creativity (ACC) techniques based on Collaborative Intelligence from a multidisciplinary approach. The common thread here are some reflections on the Turing Test (TT) that will inspire alternative metrics of validation. I will propose Collaborative Intelligence (CI) techniques as an expansion of anthropocentric ACC by: replacing the idea of imitation in its basis with playing a game, using selfreferentiality and circularity between the generative and the validation processes; having hybrid man-machine networks; incorporating algorithms that function as mediators of the nodes in hybrid networks avoiding centralities and by integrating self-referential metrics in the works themselves. Finally, I will show how these techniques have been used in a set of works.

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Increasing student retention has been a common goal of many academic institutions, especially in the university level. The negative effects of student attrition are evident to students, parents, university and the society as a whole. The first-year students are at the greatest risk of dropping out or not completing their degree on time. With this insight, a number of data mining methods have been developed for early detection of students at risk of dropout, hence the immediate application of assistive measure. As compared to western countries, this subject has attracted only a few studies in Thai university, with educational data mining being limited to the use of conventional classification models. This paper presents the most recent investigation of student dropout at Mae Fah Luang University, Thailand, and the novel reuse of link-based cluster ensemble as a data transformation framework for more accurate prediction. The empirical study on mixed-type data collection related to students' demographic detail, academic performance and enrollment record, suggests that the proposed approach is usually more effective than several benchmark transformation techniques, across different classifiers.

Ensemble clustering or cluster ensembles have been shown to be better than any standard clustering algorithm at improving accuracy. This meta-learning formalism helps users to overcome the dilemma of selecting an appropriate technique and the parameters for that technique, given a set of data. It has proven effective for many problem domains, especially microarray data analysis. Among different state-of-the-art methods, the link-based approach (LCE) recently introduced by Iam-On et al. (2011) provides a highly accurate clustering. This paper presents the improvement of LCE with a new link-based metric being developed and engaged. Additional information that is already available in a network is included in the similarity assessment. As such, this refinement can increase the quality of the measures, hence the resulting cluster decision. The performance of this improved LCE is evaluated on synthetic and UCI benchmark datasets, in comparison with the original and several well-known cluster ensemble techniques. In addition, the application of improved LCE to microarray data analysis is also empirically assessed. The findings suggest that the new model can improve the accuracy of LCE and performs better than the others investigated in this study.

This paper takes a look at the general characteristics of business or economic intelligence system. The role of the user within this type of system is emphasized. We propose two models which we consider important in order to adapt this system to the user. The first model is based on the definition of decisional problem and the second on the four cognitive phases of human learning. We also describe the application domain we are using to test these models in this type of system.

This article presents earlier results of our research works in the area of modeling Business Intelligence Systems. The basic idea of this research area is presented first. We then show the necessity of including certain users' parameters in Information systems that are used in Business Intelligence systems in order to integrate a better response from such systems. We identified two main types of attributes that can be missing from a base and we showed why they needed to be included. A user model that is based on a cognitive user evolution is presented. This model when used together with a good definition of the information needs of the user (decision maker) will accelerate his decision making process.

Increasing student retention has been a common goal of many academic institutions, especially in the university level. The negative effects of student attrition are evident to students, parents, university and the society as a whole. The first-year students are at the greatest risk of dropping out or not completing their degree on time. With this insight, a number of data mining methods have been developed for early detection of students at risk of dropout, hence the immediate application of assistive measure. As compared to western countries, this subject has attracted only a few studies in Thai university, with educational data mining being limited to the use of conventional classification models. This paper presents the most recent investigation of student dropout at Mae Fah Luang University, Thailand, and the novel reuse of link-based cluster ensemble as a data transformation framework for more accurate prediction. The empirical study on mixed-type data collection related to students' demographic detail, academic performance and enrollment record, suggests that the proposed approach is usually more effective than several benchmark transformation techniques, across different classifiers.

In 2019-2020, the Collective Intelligence Design Lab (CIDL), an initiative of the MIT Center for Collective Intelligence (CCI), worked jointly with Takeda Pharmaceutical's Center for Scientific Leadership and Innovation (CSLI) to address a challenge faced by Takeda. This paper describes the collaboration as a case study of university researchers interacting with company executives to explore the potential of a new approach for undertaking organizational design. The joint CIDL-CSLI project involved 38 executives from across Takeda applying principles from Thomas Malone's book Superminds to address an important business problem: how to use innovative socio-technical solutions to tackle depression among working age people in Japan. The Takeda executives, called "Superminds Fellows," participated in a series of face-to-face and virtual meetings that were informed by ideas from the fields of collective intelligence and design thinking. The Takeda group generated six business concepts to address the challenge, and a group of researchers convened by the CIDL and the Community Biotechnology Initiative (CBI) of MIT's 1 Media Lab subsequently commented and expanded on these concepts. The ideas generated by the Takeda executives and the MIT group were then synthesized by the CIDL team and reviewed by all participants. The concept that emerged was CareNet, a web-enabled collected intelligence system that relies on a combination of human expertise and artificial intelligence to diagnose and recommend actions that can help people who are susceptible to or suffering from depression, as well as their caregivers and healthcare providers. The collaboration yielded multi-faceted results. First, Takeda is developing the CareNet business concept by working with key stakeholders in the Japanese healthcare system. Second, the superminds concepts introduced to the Takeda executives who participated have begun to proliferate across the organization. For instance, even though only 38 executives participated directly in the Superminds Fellows program, a Takeda survey found that through the end of 2019, more than 200 people at the firm have become familiar with the supermind concepts at the center of the CIDL-CSLI collaboration. Finally, for CIDL, the collaboration led to the development of new elements of its superminds design methodology and also provided insights into how universities can undertake activities that combine some of the benefits of both traditional university research and management consulting.

In this paper we discuss the problem of collaborative monitoring of applications that are suspected of being malicious. New operating systems for mobile devices allow their users to download millions of new applications created by a great number of individual programmers and companies, some of which may be malicious or flawed. The importance of defense mechanisms against an epidemic spread of malicious applications in mobile networks was recently demonstrated by Wang et. al . In many cases, in order to detect that an application is malicious, monitoring its operation in a real environment for a significant period of time is required. Mobile devices have limited computation and power resources and thus can monitor only a limited number of applications that the user downloads. Flooding, harnessing the collective resources of many mobile devices. Mobile devices activating this algorithm periodically monitor mobile applications, derive conclusion concerning their maliciousness, and report their conclusions to a small number of other mobile devices. Each mobile device that receives a message (conclusion) propagates it to one additional mobile device. Each message has a predefined TTL. The algorithm's performance is analyzed and its time and messages complexity are shown to be significantly lower compared to existing state of the art information propagation algorithms. The algorithm was also implemented and tested in a simulated environment.

This paper takes a look at the general characteristics of business or economic intelligence system. The role of the user within this type of system is emphasized. We propose two models which we consider important in order to adapt this system to the user. The first model is based on the definition of decisional problem and the second on the four cognitive phases of human learning. We also describe the application domain we are using to test these models in this type of system.

This article presents earlier results of our research works in the area of modeling Business Intelligence Systems. The basic idea of this research area is presented first. We then show the necessity of including certain users' parameters in Information systems that are used in Business Intelligence systems in order to integrate a better response from such systems. We identified two main types of attributes that can be missing from a base and we showed why they needed to be included. A user model that is based on a cognitive user evolution is presented. This model when used together with a good definition of the information needs of the user (decision maker) will accelerate his decision making process.

This article presents earlier results of our research works in the area of modeling Business Intelligence Systems. The basic idea of this research area is presented first. We then show the necessity of including certain users' parameters in Information systems that are used in Business Intelligence systems in order to integrate a better response from such systems. We identified two main types of attributes that can be missing from a base and we showed why they needed to be included. A user model that is based on a cognitive user evolution is presented. This model when used together with a good definition of the information needs of the user (decision maker) will accelerate his decision making process.

Metaverso: la realidad virtual que se avecina como espacio social implica un cambio importante en la vida de millones de personas. Un ancla antropológica puede ser clave para no perderse en fantasías.

Metaverse: coming virtual reality as a social space means a hugh change in millions of persons' lives. An anthropologic anchor is needed for avoiding getting lost in fantasies.

Ensemble clustering or cluster ensembles have been shown to be better than any standard clustering algorithm at improving accuracy. This meta-learning formalism helps users to overcome the dilemma of selecting an appropriate technique and the parameters for that technique, given a set of data. It has proven effective for many problem domains, especially microarray data analysis. Among different state-of-the-art methods, the link-based approach (LCE) recently introduced by Iam-On et al. (2011) provides a highly accurate clustering. This paper presents the improvement of LCE with a new link-based metric being developed and engaged. Additional information that is already available in a network is included in the similarity assessment. As such, this refinement can increase the quality of the measures, hence the resulting cluster decision. The performance of this improved LCE is evaluated on synthetic and UCI benchmark datasets, in comparison with the original and several well-known clus...

This article presents an approach for the reuse of learning annotations based on ontology alignment. We couple some Knowledge Management's concepts (as knowledge and collective memories) to the specific area of e-learning. Our approach of learning annotation reuse lies essentially on a similarity between the two ontologies of context and annotation respectively to the subsystems of context and annotation of our ontology-based approach for reusing and learning through context-aware annotations memory.

Résumé: Two popular views about the concept of information are the" information as a process" and" information as a product". While there has been much research about the two paradigms, one recurrent question has been where is the place of interpretation in ...

Information dissemination is an integral part of modern networking environments, such as Wireless Sensor Networks (WSNs). Probabilistic flooding, a common epidemic-based approach, is used as an efficient alternative to traditional blind flooding as it minimizes redundant transmissions and energy consumption. It shares some similarities with the Susceptible-Infected-Recovered (SIR) epidemic model, in the sense that the dissemination process and the epidemic thresholds, which achieve maximum coverage with the minimum required transmissions, have been found to be common in certain cases. In this paper, some of these similarities between probabilistic flooding and the SIR epidemic model are identified, particularly with respect to the epidemic thresholds. Both of these epidemic algorithms are experimentally evaluated on a university campus testbed, where a low-cost WSN, consisting of 25 nodes, is deployed. Both algorithm implementations are shown to be efficient at covering a large port...

Résumé: Two popular views about the concept of information are the" information as a process" and" information as a product". While there has been much research about the two paradigms, one recurrent question has been where is the place of interpretation in ...

In this paper, I will propose a series of Artificial Computer Creativity (ACC) techniques based on Collaborative Intelligence from a multidisciplinary approach. The common thread here are some reflections on the Turing Test (TT) that will inspire alternative metrics of validation. I will propose Collaborative Intelligence (CI) techniques as an expansion of anthropocentric ACC by: replacing the idea of imitation in its basis with playing a game, using selfreferentiality and circularity between the generative and the validation processes; having hybrid man-machine networks; incorporating algorithms that function as mediators of the nodes in hybrid networks avoiding centralities and by integrating self-referential metrics in the works themselves. Finally, I will show how these techniques have been used in a set of works.

Many enterprises are reflected on strategies and tools that facilitate the knowledge sharing and exploiting the collective intelligence among their actors. Economic intelligence actors collaborate to solve a decisional problem, they use significant mental effort, and so they share a common knowledge that can indicate to other actors directions to follow or avoid. Indeed, whenever an actor explores knowledge or a relevant document, it enriches the collective knowledge of the memory via annotations. To ensure this collaboration in solving a decisional problem among actors in a context of economic intelligence, in this article we propose a conceptual model using ontologies to represent collaborative semantic annotations between economic intelligence actors in order to capitalise on and reuse the knowledge shared in a collective memory.

The last several years have revealed information technology and scientific data to be important allies. However, the most important scientific ally is that which can assist in the complex task of identifying, collecting and treating the exponential amount of data added to the Web every day in the XXI century. Moreover, the volume of this data exceeds 2.5 x 10 18 new bytes per day and arrives on the Web at a rapid speed. Thus, it is necessary to assess the veracity of these data and their value to decision-making. Although approximately 43% of the data are related to health and about one million scientific articles published per year are in the health field, it is important to think beyond trivial models to solve problems of local health with a global focus. Thus, this work aims to contribute to the reflection on the use of free tools as well as to discussions of collaborative and effective partnerships for action in the field of Public Health. This study shows opportunities to use open science for global health innovation, mainly, to the countries with difficulty in managing the problems of their ills. Open science in times of Big Data are much more agile than the old model of closed science, i.e., isolated groups that either did not share data or did share but at prices that were unaffordable for developing or underdeveloped countries. Technological development for new chemical entities can be facilitated by using the open science of the Scientific's Big Data.