Online quantum mixture regression for trajectory learning by demonstration

In this work, we present the online Quantum Mixture Model (oQMM), which combines the merits of quantum mechanics and stochastic optimization. More specifically it allows for quantum effects on the mixture states, which in turn become a superposition of conventional mixture states. We propose an efficient stochastic online learning algorithm based on the online Expectation Maximization (EM), as well as a generation and decay scheme for model components. Our method is suitable for complex robotic applications, where data is abundant or where we wish to iteratively refine our model and conduct predictions during the course of learning. With a synthetic example, we show that the algorithm can achieve higher numerical stability. We also empirically demonstrate the efficacy of our method in well-known regression benchmark datasets. Under a trajectory Learning by Demonstration setting we employ a multi-shot learning application in joint angle space, where we observe higher quality of learning and reproduction. We compare against popular and well-established methods, widely adopted across the robotics community

An Evolutionary Economic Analysis of Energy Transitions

Evolutionary economics offers clear insights into the mechanisms that underlie innovations, structural change and transitions. It is therefore of great value for the framing of policies aimed at fostering a transition to a sustainable development. This paper offers an overview of the main insights of evolutionary economics and derives core concepts, namely ‘diversity’, ‘innovation’, ‘selection environment’, ‘bounded rationality’, ‘path dependence and lock-in’, and ‘coevolution’. These concepts are subsequently used to formulate guidelines for the role of the government and the design of public policies, such as the learning from historical technological pathways and the creation of an extended level playing field. In addition, the developments of certain energy technologies are examined in detail within the adopted evolutionary economics framework. Three particular technologies received attention, namely fuel cells, nuclear fusion, and photovoltaic cells.

Learning and technological capability building in emerging economies: the case of the biomass power equipment industry in Malaysia

There is increasing recognition that the transfer of foreign technology to developing countries should be considered in light of broader processes of learning, technological capability, formation and industrial development. Previous studies that have looked at this in the context of cleantech industries in emerging economies tend to overlook firm-level specifics. This paper contributes to filling this gap by utilising in-depth qualitative firm-level data to analyse the extent to which the use of different learning mechanisms can explain differences in the accumulation of technological capabilities. This is explored via an examination of eight firms in the biomass power equipment industry in Malaysia during the period 1970-2011. The paper finds that firms relying on a combination of learning from foreign technology partners and internal learning by planned experimentation make most progress in terms of technological capability. Nevertheless, local spill-over effects were found to be important for some firms who learned principally from imitation of local competitors, although significantly, firms learning from local spillovers failed to advance beyond extra basic operating technological capabilities. Those firms who proactively pursued learning from foreign partners, on the other hand, advanced further, reaching basic innovative levels of technological capabilities. These findings are relevant for a wider range of industrial sectors in emerging economies

Intrinsic Motivation Systems for Autonomous Mental Development

Exploratory activities seem to be intrinsically rewarding for children and crucial for their cognitive development. Can a machine be endowed with such an intrinsic motivation system? This is the question we study in this paper, presenting a number of computational systems that try to capture this drive towards novel or curious situations. After discussing related research coming from developmental psychology, neuroscience, developmental robotics, and active learning, this paper presents the mechanism of Intelligent Adaptive Curiosity, an intrinsic motivation system which pushes a robot towards situations in which it maximizes its learning progress. This drive makes the robot focus on situations which are neither too predictable nor too unpredictable, thus permitting autonomous mental development.The complexity of the robot’s activities autonomously increases and complex developmental sequences self-organize without being constructed in a supervised manner. Two experiments are presented illustrating the stage-like organization emerging with this mechanism. In one of them, a physical robot is placed on a baby play mat with objects that it can learn to manipulate. Experimental results show that the robot first spends time in situations which are easy to learn, then shifts its attention progressively to situations of increasing difficulty, avoiding situations in which nothing can be learned. Finally, these various results are discussed in relation to more complex forms of behavioral organization and data coming from developmental psychology. Key words: Active learning, autonomy, behavior, complexity, curiosity, development, developmental trajectory, epigenetic robotics, intrinsic motivation, learning, reinforcement learning, values

Creating the Capacity to Benefit from Technological Change in Developing Countries

What really makes an economy competitive? This paper reviews and discusses how the capacity to generate, exploit and diffuse new knowledge is key in enabling countries to capitalise on challenges brought about by rapid technology-driven transformations rather than succumb to their adverse effects. In particular, we look at the importance of new knowledge emanating from both domestic and foreign sources in the innovation process in view of the contention that "international technology transfer" is critical for growth in developing countries. We find that there is a tight link between high rates of technology acquisition and high investment ratios, and that the absorptive capacity is a sine qua non of foreign technology benefits.absorptive capacity, knowledge, developing countries, systems of innovation

B2c e-commerce adoption in inner cities: An evolutionary perspective

Internet makes it possible for consumers to shop without visiting a physical store. As online shopping is becoming more popular, this could have significant impact on in-store shopping. The extent to which consumers, producers and retailers make use of the Internet as a complementary channel or as a substitute for in-store shopping is fundamental for the way traditional retailing will be affected. It is only recently that geographers are becoming interested in the spatial consequences of this new form of commerce. From a traditional geographical perspective, one could expect that business-to-consumer (b2c) e-commerce could make physical shopping redundant, leading to a ‘death of distance’. There are, however, several factors that may limit this new form of commerce, such as logistical constraints (e.g., personal delivery of goods may be quite expensive), habits of people, and the need for social contact. The main goal of the paper is to draw some expectations concerning the relationship between b2c e-commerce and inner city retailing. Using new insights based on evolutionary economics, hypotheses will be developed concerning the impact of b2c e-commerce on consumers’ shopping behaviour, retailers’ store strategy, and the inner city retailing environment as a whole. We claim that habits may act as a constraint to change consumers’ shopping behaviour. In addition, routines can explain why retailers may be rather reluctant in exploiting this new channel of commerce, and why they are most likely to adopt rather conservative e-commerce strategies. We also explain how and why inner cities, as important retailing and consumption places, may affect the way actors deal with this new form of commerce. One may expect that especially in these localities, both stimulating and limiting factors of b2c e-commerce adoption are predominant, depending on the quality or the attractiveness of the inner cities, among other things.evolutionary economics, e-commerce, urban economics

Innovation: A Guide to the Literature

Innovation is not a new phenomenon. Arguably, it is as old as mankind itself. However, in spite of its obvious importance, innovation has not always got the scholarly attention it deserves. This is now rapidly changing, however. As shown in the paper, research on the role of innovation economic and social change has proliferated in recent years, particularly within the social sciences, and often with a bent towards cross-disciplinarity. It is argued that this reflects the fact that no single discipline deals with all aspects of innovation, and that in order to get a comprehensive overview of the role played by innovation in social and economic change, a cross-disciplinary perspective is a must. The purpose of the paper is to provide the reader with a guide to this rapidly expanding literature. In doing so it draws on larger collective effort financed by the European Commission (the TEARI project), one of the outputs of which will emerge as Oxford Handbook of Innovation, edited by Jan Fagerberg, David Mowery and Richard R. Nelson.