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.

The management of interdependence and the sharing of vision by micro-finance agencies for new and emerging SMEs

The purpose of this paper is to conceptualise a theoretical model that clarifies the variations in both processes for sharing vision and interdependence of the lender and the SME owner in micro-finance. Processes for sharing vision and interdependence are possible predictors of the effective tacit and explicit knowledge generation/utilization of a micro-finance agency – SME owner relationship. For new and emerging SMEs the micro-finance agency can provide a critical role in their development. Micro-finance agencies can provide a mechanism in economic development that enables SMEs to have greater speed to markets. The focus of this paper is on the relationship between the micro-finance lending officer and the SME owner. Specifically, the model developed in this paper informs understanding the nature of knowledge generation/utilization between micro-finance agencies and SMEs. Effective generation/utilization facilitates the assessment of the risk for investment. The model clarifies the variations between interdependence and the development of processes for sharing of vision. When you have high interdependence (characterised by good cooperation) and effective processes for sharing of vision, an environment of effective knowledge generation/utilization is likely to be created between the micro-finance agency and the SME owner. The model proposes that the effective management of both tacit and explicit knowledge between the micro-finance agency and SMEs supports them to reach their markets. Implications of this research for SMEs and micro-finance agencies include the increase of knowledge and understanding of SME processes.

Technology transfer to developing countries : the case of physical asset management in South Africa

This research investigates technology transfer (TT) to developing countries, with specific reference to South Africa. Particular attention is paid to physical asset management, which includes the maintenance of plant, equipment and facilities. The research is case based, comprising a main case study (the South African electricity utility, Eskom) and four mini-cases. A five level framework adapted from Salami and Reavill (1997) is used as the methodological basis for the formulation of the research questions. This deals with technology selection, and management issues including implementation and maintenance and evaluation and modifications. The findings suggest the Salami and Reavill (1997) framework is a useful guide for TT. The case organisations did not introduce technology for strategic advantage, but to achieve operational efficiencies through cost reduction, higher quality and the ability to meet customer demand. Acquirers favour standardised technologies with which they are familiar. Cost-benefit evaluations have limited use in technology acquisition decisions. Users rely on supplier expertise to compensate for poor education and technical training in South Africa. The impact of political and economic factors is more evident in Eskom than in the mini-cases. Physical asset management follows traditional preventive maintenance practices, with limited use of new maintenance management thinking. Few modifications of the technology or R&D innovations take place. Little use is made of explicit knowledge from computerised maintenance management systems. Low operating and maintenance skills are not conducive to the transfer of high-technology equipment. South African organisations acquire technology as items of plant, equipment and systems, but limited transfer of technology takes place. This suggests that operators and maintainers frequently do not understand the underlying technology, and like workers elsewhere, are not always inclined towards adopting technology in the workplace.

Interaction of Kelvin waves and nonlocality of energy transfer in superfluids

We argue that the physics of interacting Kelvin Waves (KWs) is highly nontrivial and cannot be understood on the basis of pure dimensional reasoning. A consistent theory of KW turbulence in superfluids should be based upon explicit knowledge of their interactions. To achieve this, we present a detailed calculation and comprehensive analysis of the interaction coefficients for KW turbuelence, thereby, resolving previous mistakes stemming from unaccounted contributions. As a first application of this analysis, we derive a local nonlinear (partial differential) equation. This equation is much simpler for analysis and numerical simulations of KWs than the Biot-Savart equation, and in contrast to the completely integrable local induction approximation (in which the energy exchange between KWs is absent), describes the nonlinear dynamics of KWs. Second, we show that the previously suggested Kozik-Svistunov energy spectrum for KWs, which has often been used in the analysis of experimental and numerical data in superfluid turbulence, is irrelevant, because it is based upon an erroneous assumption of the locality of the energy transfer through scales. Moreover, we demonstrate the weak nonlocality of the inverse cascade spectrum with a constant particle-number flux and find resulting logarithmic corrections to this spectrum.

Crowdsourcing User-Contributed Solutions to Aerospace Product Development Issues through Micro-Blogging

Revenue and production output of the United Kingdom’s Aerospace Industry (AI) is growing year on year and the need to develop new products and innovative enhancements to existing ranges is creating a critical need for the increased utilisation and sharing of employee knowledge. The capture of employee knowledge within the UK’s AI is vital if it is to retain its pre-eminent position in the global marketplace. Crowdsourcing, as a collaborative problem solving activity, allows employees to capture explicit knowledge from colleagues and teams and also offers the potential to extract previously unknown tacit knowledge in a less formal virtual environment. By using micro-blogging as a mechanism, a conceptual framework is proposed to illustrate how companies operating in the AI may improve the capture of employee knowledge to address production-related problems through the use of crowdsourcing. Subsequently, the framework has been set against the background of the product development process proposed by Maylor in 1996 and illustrates how micro-blogging may be used to crowdsource ideas and solutions during product development. Initial validation of the proposed framework is reported, using a focus group of 10 key actors from the collaborating organisation, identifying the perceived advantages, disadvantages and concerns of the framework; results indicate that the activity of micro-blogging for crowdsourcing knowledge relating to product development issues would be most beneficial during product conceptualisation due to the requirement for successful innovation.

Ist die Tagesbetreuung in Krippen ein Risiko? Eine kritische Beurteilung der internationalen Krippenforschung

Die Betreuungsfrage für Kleinstkinder unter drei Jahren ist bislang unbeantwortet. Ein Ausbau der Krippenbetreuung wird häufig mit Hinweis auf positive Forschungsbefunde aus dem Ausland favorisiert. In einer Übersicht wurden die Vorbedingungen für eine solche Übertragung geprüft: methodische Zuverlässigkeit der Krippenstudien, Konsistenz der Ergebnisse sowie eindeutige Kenntnisse über die Rahmenbedingungen der international untersuchten Krippen. Diese Minimalvoraussetzungen für eine Übertragung erwiesen sich als nicht gegeben. Der Verfasser plädiert für individuellere Betreuungsformen, solange die Qualitätsstandards deutscher Krippen nicht auf einem Niveau sind, auf dem Entwicklungsrisiken ausgeschlossen werden können. (DIPF/Orig.)

O Contributo dos Sistemas de Informação para a Eficácia da Liderança e para a Mudança do Comportamento Organizacional

O presente trabalho debruça-se sobre os constructos da liderança e do comportamento de auto-eficácia da liderança nas organizações. Reflecte-se sobre a importância dos sistemas de informação no clima organizacional, com efeitos sobre a eficácia na liderança. Trata-se de uma perspetiva pertinente na conjuntura organizacional atual, dado que incide sobre valores patrimoniais intangíveis que, quando dinamizados, dão suporte à performance organizacional. A nossa preocupação central é a auto-eficácia. Através dela pretende-se melhorar a eficiência organizacional, porque minimiza prejuízos e desperdícios. Também se relaciona a eficácia com o desempenho da liderança organizacional e com o capital ‘confiança’. Dessa forma, os novos caminhos passam por auscultar a percepção dos colaboradores sobre a importância da cultura organizacional face ao desempenho e à eficácia de longo prazo na organização. Com a presente reflexão, evidencia-se que a espiritualidade no local de trabalho é um factor de apoio ao desenvolvimento holístico dos colaboradores. Fica sublinhado que é fundamental que os líderes tenham noção e consciência de “si” e dos seus papéis, e como estes se reflectem no seu comportamento quotidiano na organização. O estudo assenta num trabalho de campo, elaborado numa organização intensiva em informação e que presta serviços de consultoria e informática. Os resultados apurados tentam dizer que, globalmente, no estudo longitudinal das hetero-percepções dos gestores directos e indirectos, o gap cultural diminuiu em todas as dimensões relativas às competências dos papéis, sendo vital destacar o quadrante designado por Apoio. As hetero-percepções dos gestores directos demonstram que o menor gap cultural mantem-se no quadrante de Objectivos Racionais e Competir no modelo de CVF, caracterizado por uma cultura de mercado, e relacionado com a fase da Combinação no modelo de SECI (processos que fomentam os relacionamentos e intercâmbios informais – conversão do conhecimento explícito para o explícito). Enquanto que o maior gap cultural reside no quadrante Apoio e Colaborar no modelo CVF, relacionado com a fase da Socialização no modelo de SECI (processos que fomentam os relacionamentos e intercâmbios informais – conhecimento tácito para tácito). Como o gap cultural diminuiu em todas as dimensões, pode realçar uma melhoria das percepções do desempenho organizacional. Contudo, um resultado inesperado está associado ao quadrante Apoio com a cultura de clã, uma vez que são os gestores indirectos na empresa em estudo que fomentam esta cultura, e não os gestores directos, conforme seria desejável. Um resultado favorável para o estudo da auto-eficácia da liderança demonstra que as médias são mais elevadas para atributos de Gestão e Resolução de Problemas. Os resultados que não corresponderam às expectativas iniciais estão associados às médias baixas relativamente aos atributos Sociais/de Comunicação, o que pode ser uma debilidade porque seria desejável que a equipa de gestão tivesse maior sensibilidade perante os capitais sociais, emocionais e espirituais, os quais estão relacionados com estes atributos.

Relacionamentos industriais como mecanismos de coordenação de competências : casos da indústria de moldes para plásticos.

Doutoramento em Ciências Empresariais.

Do saber ao sabor : estudo da relação entre saberes tácitos e explícitos expressos nas competências laborais de cozinheiros em situação de trabalho

Tese (doutorado)—Universidade de Brasília, Faculdade de Educação, Programa de Pós-Graduação em Educação, 2016.

Making mentoring explicit : articulating pedogogical knowledge practices

Mentoring pedagogical knowledge is fundamental towards developing preservice teachers’ practices. As a result of a train-the-trainer mentoring program, this study aimed to understand how mentors’ engagement in a professional development program on mentoring contributes to their mentoring of pedagogical knowledge practices. This qualitative research analyses the mentoring of pedagogical knowledge from six paired mentor teachers and preservice teachers (n=12) after a four-week professional school experience. Findings indicated the train-the-trainer model was successful for mentoring pedagogical knowledge on 10 of the 11 advocated practices. This suggested that a well-constructed professional development program on mentoring can advance the quality of mentoring for enhancing preservice teachers’ practices.

Dissociations between implicit and explicit memory in children : the role of strategic processing and the knowledge base

A review of the literature shows that explicit memory develops substantially from three years of age to adulthood, while implicit memory remains stable across this age range. Previously, this developmental dissociation has been attributed to different memory systems, or to confounds with perceptual vs. conceptual processing. Prompted by an alternative developmental framework, the experiments reported here provide evidence against both interpretations. Instead, it will be argued that (a) the implicit - explicit developmental dissociation reflects differences in strategic processing (strategy use and metamemory) across childhood and (b) that implicit memory can show development if a child's knowledge base in the tested domain is developing with age.

Explicit and implicit knowledge of environment states induce adaptation in postural control

The aim of this study was to investigate the effects of explicit and implicit knowledge about visual surrounding manipulation on postural responses. Twenty participants divided into two groups, implicit and explicit, remained in upright stance inside a moving room. In the fourth trial participants in the explicit group were informed about the movement of the room while participants in the implicit group performed the trial with the room moving at a larger amplitude and higher velocity. Results showed that postural responses to visual manipulation decreased after participants were told that the room was moving as well as after increasing amplitude and velocity of the room, indicating decreased coupling (down-weighting) of the visual influences. Moreover, this decrease was even greater for the implicit group compared to the explicit group. The results demonstrated that conscious knowledge about environmental state changes the coupling to visual information, suggesting a cognitive component related to sensory re-weighting. Re-weighting processes were also triggered without awareness of subjects and were even more pronounced compared to the first case. Adaptive re-weighting was shown when knowledge about environmental state was gathered explicitly and implicitly, but through different adaptive processes. (C) 2014 Elsevier Ireland Ltd. All rights reserved.