Using configuration management and product line software paradigms to support the experimentation process in software engineering.

There is no empirical evidence whatsoever to support most of the beliefs on which software construction is based. We do not yet know the adequacy, limits, qualities, costs and risks of the technologies used to develop software. Experimentation helps to check and convert beliefs and opinions into facts. This research is concerned with the replication area. Replication is a key component for gathering empirical evidence on software development that can be used in industry to build better software more efficiently. Replication has not been an easy thing to do in software engineering (SE) because the experimental paradigm applied to software development is still immature. Nowadays, a replication is executed mostly using a traditional replication package. But traditional replication packages do not appear, for some reason, to have been as effective as expected for transferring information among researchers in SE experimentation. The trouble spot appears to be the replication setup, caused by version management problems with materials, instruments, documents, etc. This has proved to be an obstacle to obtaining enough details about the experiment to be able to reproduce it as exactly as possible. We address the problem of information exchange among experimenters by developing a schema to characterize replications. We will adapt configuration management and product line ideas to support the experimentation process. This will enable researchers to make systematic decisions based on explicit knowledge rather than assumptions about replications. This research will output a replication support web environment. This environment will not only archive but also manage experimental materials flexibly enough to allow both similar and differentiated replications with massive experimental data storage. The platform should be accessible to several research groups working together on the same families of experiments.

Ontology Development by Reuse

This chapter presents methodological guidelines that allow engineers to reuse generic ontologies. This kind of ontologies represents notions generic across many fields, (is part of, temporal interval, etc.). The guidelines helps the developer (a) to identify the type of generic ontology to be reused, (b) to find out the axioms and definitions that should be reused and (c) to adapt and integrate the generic ontology selected in the domain ontology to be developed. For each task of the methodology, a set of heuristics with examples are presented. We hope that after reading this chapter, you would have acquired some basic ideas on how to take advantage of the great deal of well-founded explicit knowledge that formalizes generic notions such as time concepts and the part of relation.

Methodological guidelines for reusing general ontologies

Currently, there is a great deal of well-founded explicit knowledge formalizing general notions, such as time concepts and the part_of relation. Yet, it is often the case that instead of reusing ontologies that implement such notions (the so-called general ontologies), engineers create procedural programs that implicitly implement this knowledge. They do not save time and code by reusing explicit knowledge, and devote effort to solve problems that other people have already adequately solved. Consequently, we have developed a methodology that helps engineers to: (a) identify the type of general ontology to be reused; (b) find out which axioms and definitions should be reused; (c) make a decision, using formal concept analysis, on what general ontology is going to be reused; and (d) adapt and integrate the selected general ontology in the domain ontology to be developed. To illustrate our approach we have employed use-cases. For each use case, we provide a set of heuristics with examples. Each of these heuristics has been tested in either OWL or Prolog. Our methodology has been applied to develop a pharmaceutical product ontology. Additionally, we have carried out a controlled experiment with graduated students doing a MCs in Artificial Intelligence. This experiment has yielded some interesting findings concerning what kind of features the future extensions of the methodology should have.

Contextualización teórica del acto pedagógico en la enseñanza y el aprendizaje del proyecto arquitectónico: el caso de la E.T.S.A.M.

El taller de proyectos constituye el núcleo de la enseñanza arquitectónica. Estudiar sus procesos educativos en la actualidad implica la contextualización teórica del acto educativo y la revisión histórica de la evolución de su estructura social. Esta estructura, es heredera de la larga tradición del taller donde los maestros de obra, artesanos, arquitectos y artistas, se ocupaban desde siempre de la enseñanza de la construcción, de la artesanía, del diseño arquitectónico y del arte. Los aprendices se sometían a la autoridad de sus maestros y pasaban horas practicando, produciendo y aprendiendo junto a ellos. Con la aparición de las primeras Academias de arte y posteriormente de arquitectura, se evidenció un progresivo interés de los Estados hacía los productos artísticos y arquitectónicos. La consideración de las artes y de la arquitectura como proyecto estatal, supuso la construcción lenta, pero consolidable, de un proyecto educativo paralelo, coexistiendo simultáneamente con los talleres de los maestros, pero sin posibilidad de integración, hasta mucho más tarde. La “teoría”, que es de lo que se ocupaba la academia, con la “práctica” que es lo que se desarrollaba en el taller, no encontraban fácilmente la manera de encajarse y complementarse mutuamente en un proyecto educativo común. Las concepciones educativas de ambos, afrontaban la enseñanza y el aprendizaje desde puntos de vista también diferentes; mientras la Academia representaba el conocimiento validado y explicitado, en el taller se trabajaba con un conocimiento tácito e implícito. En la práctica artística del taller era donde se producía el aprendizaje mientras que en la Academia es donde se validaba. Esta estructura llegó en muchas ocasiones a situaciones extremas, no siendo casual que las más grandes crisis registradas en la historia de la enseñanza de las artes, coincidieran con un aumento de la distancia entre estas dos “instituciones”, talleres y academias. Por otra parte, parece que cualquier proyecto o concepto innovador, se ha fundado sobre la redistribución de estos equilibrios perdidos. En dicho contexto, en el campo de la educación y especialmente en el siglo XX, surge un debate que se estructura en base a los fines de la educación, contemplando dos posturas bien diferenciadas. Una de ellas sostiene como fin primordial de la educación, el desarrollo de la conciencia y la reciprocidad social del individuo. La otra, fija como fin el desarrollo de su singularidad. La búsqueda del equilibrio entre ambas, parte del interés por fomentar el crecimiento de lo que cada ser humano posee de individual, armonizándolo con la unidad orgánica del grupo social al que pertenece (Read 2010, 33). Sobre esta tensión se han basado muchos de los discursos pedagógicos y especialmente los aquí usados. La estructura social en los talleres de proyectos arquitectónicos, presenta hoy día una máxima integración entre las dos instituciones, el taller y la Academia, tanto a nivel del espacio, donde tiene lugar la enseñanza, como a nivel conceptual y pedagógico. Los talleres de proyectos poseen un formato de enseñanza y aprendizaje que constituye un paradigma (Schön, 2008) no solo dentro, sino también fuera del campo arquitectónico. Bajo este formato se complementa el aprendizaje práctico con el teórico y la producción, con la validación del conocimiento. Aunque tal estructura pedagógica presenta importantes variaciones entre unas escuelas de arquitectura y otras, los principales procesos que tienen lugar, son lo suficientemente similares, como para poder ser examinados desde una perspectiva común. Esta investigación, estudia el taller de proyectos desde un aspecto pedagógico, que contempla tanto los discursos educativos, como la historia de la evolución del taller como constructo social. El análisis se estructura sobre los elementos fundantes del acto didáctico: un sujeto que aprende, un sujeto que enseña, un método, la estrategia o procedimiento a través del que se enseña, un contenido y el propio acto docente (Sánchez Cerezo, 1994, 530). Además, se han añadido otros dos elementos que se consideran fundamentales para llevar a cabo el estudio: el contexto de la enseñanza, tanto el tangible como el intangible y la evaluación de la enseñanza y del aprendizaje. El caso de estudio de la presente investigación se sitúa en la Escuela de Arquitectura de Madrid en la actualidad. Sin embargo, no se pretende generar un retrato exacto de esta institución sino utilizarla como ejemplo principal en el desarrollo de los capítulos del método, contenido, acto docente y contexto, en los que también se introducen ejemplos de otras escuelas de arquitectura que amplían los argumentos presentados que constituyen la contextualización teórica del acto pedagógico en los talleres de proyectos arquitectónicos. ABSTRACT Design studio constitutes the core of architectural education. To study its current educational processes involves a theoretical approach of its educational praxis and an historic revision of how its social structure evolved. This structure is inherited from the long tradition of the workshop in which master masons, craftsmen, architects and artists have always been in charge of teaching construction, crafts, architectural design and art. Apprentices were subjected to the authority of their teachers and spent hours practicing, producing and learning along with them. With the establishment of the first Academies of Art and later of Architecture, the interest of the State in artistic and architectural products started growing. The understanding of arts and architecture as a state project entailed the slow, but robust development of a parallel education project. This project coexisted with the masters’ workshops, without the possibility of integration between two, until much later. It was difficult to find a way to synthesize academic “theory” with workshop “practice”. The workshops’ and the Academy's conception about teaching and learning differed significantly. While the Academy represented a verified and explicit knowledge, the workshop worked with a tacit and implicit knowledge. The workshops produced education through artistic practice, while the the Academy organized and verified knowledge. This dual framework has on occasions reached extremes. It is no accident that the biggest known crises in the history of arts education coincide with an increase in the distance between these two "institutions", the workshops and Academies. Furthermore, it seems that most innovative concepts or projects have been founded on restoring the lost balance between the two. In this context, in the field of education, and especially during the 20th century, a debate that contemplated the purpose of education and resulted in two quite differentiated approaches, emerged,. One position claims as the primary purpose of education the development of social awareness and mutuality in individuals. The other approach sets as a purpose developing each student's uniqueness. The quest for the right balance between these two positions is based on the assumption that the general purpose of education is to foster the growth of what is individual in each human being, at the same time harmonizing the individuality thus educed with the organic unity of the social group to which the individual belongs (Read, 2010, 33). This tension forms the basis for many pedagogical discourses, especially the ones utilized in this dissertation. The social structure of architecture studios today demonstrates a very high level of integration between the two institutions, the workshop and the Academy, both in terms of space —where the teaching takes place— as well as on a conceptual and pedagogical level. Architecture studios today have developed a format for teaching and learning that has established a paradigm (Schön, 2008) , not only in architecture, but also in other fields. Under this paradigm, practical and theoretical learning, as well as production and verification of knowledge, complement each other. And although this pedagogical structure presents important variations among different schools of architecture, the principal processes that take place in the studio are sufficiently similar so as to be examined from a common perspective. This research examines the architecture studio from a pedagogical point of view, that takes into account both the educational discourses, as well as the historical evolution of the workshop as a social structure. The analysis presented here is structured on the fundamentals of the teaching act: an individual learning, an individual teaching, a method, strategy or procedure for teaching and learning, the content and the teaching act itself (Sánchez Cerezo, 1994, 530). Two extra elements that were considered essential for carrying out this study have also been added: the context in which teaching takes place, tangible as well as intangible, and the evaluation of teaching and learning. The Madrid School of Architecture in the present day served as a case study. However the aim is not to generate an accurate portrayal of this school but to use it as the principal example for the development of the chapters of method, content, teaching act and context. In addition to that, examples from other schools of architecture are introduced in order to further the presented arguments that constitute the theoretical contextualization of the pedagogical act in architecture studios.

Engineering Computational Emotion - A Reference Model for Emotion in Artificial Systems

Emotion is generally argued to be an influence on the behavior of life systems, largely concerning flexibility and adaptivity. The way in which life systems acts in response to a particular situations of the environment, has revealed the decisive and crucial importance of this feature in the success of behaviors. And this source of inspiration has influenced the way of thinking artificial systems. During the last decades, artificial systems have undergone such an evolution that each day more are integrated in our daily life. They have become greater in complexity, and the subsequent effects are related to an increased demand of systems that ensure resilience, robustness, availability, security or safety among others. All of them questions that raise quite a fundamental challenges in control design. This thesis has been developed under the framework of the Autonomous System project, a.k.a the ASys-Project. Short-term objectives of immediate application are focused on to design improved systems, and the approaching of intelligence in control strategies. Besides this, long-term objectives underlying ASys-Project concentrate on high order capabilities such as cognition, awareness and autonomy. This thesis is placed within the general fields of Engineery and Emotion science, and provides a theoretical foundation for engineering and designing computational emotion for artificial systems. The starting question that has grounded this thesis aims the problem of emotion--based autonomy. And how to feedback systems with valuable meaning has conformed the general objective. Both the starting question and the general objective, have underlaid the study of emotion, the influence on systems behavior, the key foundations that justify this feature in life systems, how emotion is integrated within the normal operation, and how this entire problem of emotion can be explained in artificial systems. By assuming essential differences concerning structure, purpose and operation between life and artificial systems, the essential motivation has been the exploration of what emotion solves in nature to afterwards analyze analogies for man--made systems. This work provides a reference model in which a collection of entities, relationships, models, functions and informational artifacts, are all interacting to provide the system with non-explicit knowledge under the form of emotion-like relevances. This solution aims to provide a reference model under which to design solutions for emotional operation, but related to the real needs of artificial systems. The proposal consists of a multi-purpose architecture that implement two broad modules in order to attend: (a) the range of processes related to the environment affectation, and (b) the range or processes related to the emotion perception-like and the higher levels of reasoning. This has required an intense and critical analysis beyond the state of the art around the most relevant theories of emotion and technical systems, in order to obtain the required support for those foundations that sustain each model. The problem has been interpreted and is described on the basis of AGSys, an agent assumed with the minimum rationality as to provide the capability to perform emotional assessment. AGSys is a conceptualization of a Model-based Cognitive agent that embodies an inner agent ESys, the responsible of performing the emotional operation inside of AGSys. The solution consists of multiple computational modules working federated, and aimed at conforming a mutual feedback loop between AGSys and ESys. Throughout this solution, the environment and the effects that might influence over the system are described as different problems. While AGSys operates as a common system within the external environment, ESys is designed to operate within a conceptualized inner environment. And this inner environment is built on the basis of those relevances that might occur inside of AGSys in the interaction with the external environment. This allows for a high-quality separate reasoning concerning mission goals defined in AGSys, and emotional goals defined in ESys. This way, it is provided a possible path for high-level reasoning under the influence of goals congruence. High-level reasoning model uses knowledge about emotional goals stability, letting this way new directions in which mission goals might be assessed under the situational state of this stability. This high-level reasoning is grounded by the work of MEP, a model of emotion perception that is thought as an analogy of a well-known theory in emotion science. The work of this model is described under the operation of a recursive-like process labeled as R-Loop, together with a system of emotional goals that are assumed as individual agents. This way, AGSys integrates knowledge that concerns the relation between a perceived object, and the effect which this perception induces on the situational state of the emotional goals. This knowledge enables a high-order system of information that provides the sustain for a high-level reasoning. The extent to which this reasoning might be approached is just delineated and assumed as future work. This thesis has been studied beyond a long range of fields of knowledge. This knowledge can be structured into two main objectives: (a) the fields of psychology, cognitive science, neurology and biological sciences in order to obtain understanding concerning the problem of the emotional phenomena, and (b) a large amount of computer science branches such as Autonomic Computing (AC), Self-adaptive software, Self-X systems, Model Integrated Computing (MIC) or the paradigm of models@runtime among others, in order to obtain knowledge about tools for designing each part of the solution. The final approach has been mainly performed on the basis of the entire acquired knowledge, and described under the fields of Artificial Intelligence, Model-Based Systems (MBS), and additional mathematical formalizations to provide punctual understanding in those cases that it has been required. This approach describes a reference model to feedback systems with valuable meaning, allowing for reasoning with regard to (a) the relationship between the environment and the relevance of the effects on the system, and (b) dynamical evaluations concerning the inner situational state of the system as a result of those effects. And this reasoning provides a framework of distinguishable states of AGSys derived from its own circumstances, that can be assumed as artificial emotion.

Using Cross-Lingual Explicit Semantic Analysis for Improving Ontology Translation

Semantic Web aims to allow machines to make inferences using the explicit conceptualisations contained in ontologies. By pointing to ontologies, Semantic Web-based applications are able to inter-operate and share common information easily. Nevertheless, multilingual semantic applications are still rare, owing to the fact that most online ontologies are monolingual in English. In order to solve this issue, techniques for ontology localisation and translation are needed. However, traditional machine translation is difficult to apply to ontologies, owing to the fact that ontology labels tend to be quite short in length and linguistically different from the free text paradigm. In this paper, we propose an approach to enhance machine translation of ontologies based on exploiting the well-structured concept descriptions contained in the ontology. In particular, our approach leverages the semantics contained in the ontology by using Cross Lingual Explicit Semantic Analysis (CLESA) for context-based disambiguation in phrase-based Statistical Machine Translation (SMT). The presented work is novel in the sense that application of CLESA in SMT has not been performed earlier to the best of our knowledge.

Agent Architecture Modelling at the Knowledge Level

The definition of an agent architecture at the knowledge level makes emphasis on the knowledge role played by the data interchanged between the agent components and makes explicit this data interchange this makes easier the reuse of these knowledge structures independently of the implementation This article defines a generic task model of an agent architecture and refines some of these tasks using the interference diagrams. Finally, a operationalisation of this conceptual model using the rule-oriented language Jess is shown. knowledge level,