Extending metacognition : an account of how procedural and analytic metacognitive processes interact with extended cognition : a thesis presented in partial fulfilment of the requirements for the degree of Master of Arts in Psychology at Massey University, Manawatū, New Zealand

This thesis examines the relationship between extended cognition and metacognition by way of three interlocking proposals. First of all, both extended cognition and metacognition should be conceptualised as sub-personal-level explanations that are implemented in the brain and environment and in cultural practices that inform individual skill. Secondly, the procedural metacognition norm of fluency, analytic metacognition, and cognitive skill mutually reinforce and enrich each other when dealing with cognitive obstacles. Finally, my third claim, builds on and refines claims one and two when I examine the involvement of metacognition in relation to expertise; specifically, I focus on the skilled interplay of automaticity and metacognitive control when confronted with cognitive obstacles. To this end, I build on hybrid accounts of skilled cognitive performance to provide a framework that isolates cases of metacognitive extension. This thesis concludes that metacognition, rather than being viewed as wholly internal, can be partially externalised across the environment when the individual exhibits high levels of automaticity and control when using an artefact

Energy-Efficient Software

The energy consumption of ICT is growing at an unprecedented pace. The main drivers for this growth are the widespread diffusion of mobile devices and the proliferation of datacenters, the most power-hungry IT facilities. In addition, it is predicted that the demand for ICT technologies and services will increase in the coming years. Finding solutions to decrease ICT energy footprint is and will be a top priority for researchers and professionals in the field. As a matter of fact, hardware technology has substantially improved throughout the years: modern ICT devices are definitely more energy efficient than their predecessors, in terms of performance per watt. However, as recent studies show, these improvements are not effectively reducing the growth rate of ICT energy consumption. This suggests that these devices are not used in an energy-efficient way. Hence, we have to look at software. Modern software applications are not designed and implemented with energy efficiency in mind. As hardware became more and more powerful (and cheaper), software developers were not concerned anymore with optimizing resource usage. Rather, they focused on providing additional features, adding layers of abstraction and complexity to their products. This ultimately resulted in bloated, slow software applications that waste hardware resources -- and consequently, energy. In this dissertation, the relationship between software behavior and hardware energy consumption is explored in detail. For this purpose, the abstraction levels of software are traversed upwards, from source code to architectural components. Empirical research methods and evidence-based software engineering approaches serve as a basis. First of all, this dissertation shows the relevance of software over energy consumption. Secondly, it gives examples of best practices and tactics that can be adopted to improve software energy efficiency, or design energy-efficient software from scratch. Finally, this knowledge is synthesized in a conceptual framework that gives the reader an overview of possible strategies for software energy efficiency, along with examples and suggestions for future research

Artificial cognitive architecture with self-learning and self-optimization capabilities. Case studies in micromachining processes

Tesis doctoral inédita leída en la Universidad Autónoma de Madrid, Escuela Politécnica Superior, Departamento de Ingeniería Informática. Fecha de lectura : 22-09-201

The bridge of dreams::Towards a method for operational performance alignment in IT-enabled service supply chains

Concerns on performance alignment, especially on business-IT alignment, have been around for three decades. It is still considered to be one of the most important driving forces for business success, as well as one of the top concerns of many practitioners and organizational researchers. It is also found to be a major issue in two thirds of digital transformation projects. Many attempts from researchers in diverse disciplines have been made to tackle this issue. Unfortunately, they have been working separately and the research appears in various forms and names. This dissertation presents a piece of interdisciplinary research that focuses on identifying operational performance alignment issues, discovering and assessing their root causes with attention to the dynamics in operating IT-enabled service supply chain (SSC). It makes a modest contribution by providing a communication-centred instrument which can modularize complex SSC in terms of a hierarchically-structured set of services and analyze the performance causality between them. With a special focus on the impact of IT, it makes it possible to monitor and tune various performance issues in SSC. This research intends to provide a solution-oriented common ground where multiple service research streams can meet together. Following the framework proposed in this research, services, at different tiers of an SSC, are modelled with a balanced perspective on both business, technical service components and KPIs. It allows a holistic picture of service performances and interactions throughout the entire supply chain to be viewed through a different research lens and permits the causal impact of technology, business strategy, and service operations on supply chain performance to be unveiled