A Theory of Consciousness from a Theoretical Computer Science Perspective: Insights from the Conscious Turing Machine

The quest to understand consciousness, once the purview of philosophers and theologians, is now actively pursued by scientists of many stripes. We examine consciousness from the perspective of theoretical computer science (TCS), a branch of mathematics concerned with understanding the underlying principles of computation and complexity, including the implications and surprising consequences of resource limitations. In the spirit of Alan Turing's simple yet powerful definition of a computer, the Turing Machine (TM), and perspective of computational complexity theory, we formalize a modified version of the Global Workspace Theory (GWT) of consciousness originated by cognitive neuroscientist Bernard Baars and further developed by him, Stanislas Dehaene, Jean-Pierre Changeaux and others. We are not looking for a complex model of the brain nor of cognition, but for a simple computational model of (the admittedly complex concept of) consciousness. We do this by defining the Conscious Turing Machine (CTM), also called a conscious AI, and then we define consciousness and related notions in the CTM. While these are only mathematical (TCS) definitions, we suggest why the CTM has the feeling of consciousness. The TCS perspective provides a simple formal framework to employ tools from computational complexity theory and machine learning to help us understand consciousness and related concepts. Previously we explored high level explanations for the feelings of pain and pleasure in the CTM. Here we consider three examples related to vision (blindsight, inattentional blindness, and change blindness), followed by discussions of dreams, free will, and altered states of consciousness.Comment: arXiv admin note: text overlap with arXiv:2011.0985

Can intelligence explode?

The technological singularity refers to a hypothetical scenario in which technological advances virtually explode. The most popular scenario is the creation of super-intelligent algorithms that recursively create ever higher intelligences. It took many decades for these ideas to spread from science fiction to popular science magazines and finally to attract the attention of serious philosophers. David Chalmers' (JCS, 2010) article is the first comprehensive philosophical analysis of the singularity in a respected philosophy journal. The motivation of my article is to augment Chalmers' and to discuss some issues not addressed by him, in particular what it could mean for intelligence to explode. In this course, I will (have to) provide a more careful treatment of what intelligence actually is, separate speed from intelligence explosion, compare what super-intelligent participants and classical human observers might experience and do, discuss immediate implications for the diversity and value of life, consider possible bounds on intelligence, and contemplate intelligences right at the singularity

Liberal theory, uneven development and institutional reform: responding to the crisis in weak states

The liberal paradigm responds to the failures of neo-mercantilism by attempting to create reform market-based institutions. This agenda demands such radical changes in institutions, culture, and knowledge systems, that it is hardly surprising that it is faltering in countries where the gap between actually existing and new institutions is so wide. This being so, it is time for a serious reconsideration of a programme that is manifestly failing to achieve its own objectives. This paper looks for explanations for this failure by examining the factors that led to the demise of the post-colonial interventionist programmes, and the problems now associated with their liberal successors. It does this by attempting to validate three propositions: 1) that modern institutions may be failing in crisis states, but still provide the only long-term alternative that offers people freedom, security and prosperity; 2) that reforms must generate antagonistic conflict between new and old institutions and value systems; and 3) that this means that new structures and theoretical paradigms must be adapted to deal with the contradictory realities of the political conflicts that they must inevitably generate during the transition to modernity

What is Strategic Competence and Does it Matter? Exposition of the Concept and a Research Agenda

Drawing on a range of theoretical and empirical insights from strategic management and the cognitive and organizational sciences, we argue that strategic competence constitutes the ability of organizations and the individuals who operate within them to work within their cognitive limitations in such a way that they are able to maintain an appropriate level of responsiveness to the contingencies confronting them. Using the language of the resource based view of the firm, we argue that this meta-level competence represents a confluence of individual and organizational characteristics, suitably configured to enable the detection of those weak signals indicative of the need for change and to act accordingly, thereby minimising the dangers of cognitive bias and cognitive inertia. In an era of unprecedented informational burdens and instability, we argue that this competence is central to the longer-term survival and well being of the organization. We conclude with a consideration of the major scientific challenges that lie ahead, if the ideas contained within this paper are to be validated

Is it ethical to avoid error analysis?

Machine learning algorithms tend to create more accurate models with the availability of large datasets. In some cases, highly accurate models can hide the presence of bias in the data. There are several studies published that tackle the development of discriminatory-aware machine learning algorithms. We center on the further evaluation of machine learning models by doing error analysis, to understand under what conditions the model is not working as expected. We focus on the ethical implications of avoiding error analysis, from a falsification of results and discrimination perspective. Finally, we show different ways to approach error analysis in non-interpretable machine learning algorithms such as deep learning.Comment: Presented as a poster at the 2017 Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT/ML 2017

10-05 "The Macroeconomics of Development without Throughput Growth"

Serious discussion has begun of policies to promote the goal of increasing well-being without material growth. Moving towards this goal requires a profound reorientation of macroeconomic theory. Importantly, the call by ecological economists to move away from traditional growth-oriented models comes at a moment when standard macroeconomics is in considerable turmoil. The financial crisis of 2008/2009 seriously undermined the basis for mainstream macroeconomics and brought renewed attention to various forms of Keynesian analysis and policy previously regarded as outdated. There is a close complementarity between new Keynesian and ecological perspectives. While older Keynesian analysis was oriented towards promoting growth, a true Keynesian analysis of the relationship between investment and consumption does not depend on a growth orientation. What this analysis has in common with an ecological perspective is the rejection of market optimality assumed in classical models. Moving away from the neoclassical goal of inter-temporal utility maximization allows for different, pluralistic economic goals: full employment, provision of basic needs, social and infrastructure investment, and income equity. These goals are compatible with environmental preservation and resource sustainability, whereas indefinite growth is not. But they require a revitalization of the sphere of social investment, seriously neglected (indeed often omitted completely) in standard models. Reintroducing this perspective allows the development of an economic theory suitable for the transition to a stable-population, low-carbon, resource-conserving global economy. The barriers to this transition are primarily political and institutional, not economic. Specifically, an eco-Keynesian perspective emphasizes new macroeconomic categories including: * human-capital-intensive services * investment in energy-conserving capital * investment in natural and human capital The expansion of these categories provides a basis for growth in wellbeing without growth in throughput, while preserving full employment and economic stability. This paper explores some of the implications of this altered macroeconomic perspective for development in both the global "North" and "South". It is suggested that the problems following the global financial crisis cannot be resolved by a return to traditional growth patterns, and will require large-scale practical policies based on eco-Keynesianism.

Visual art-making as a resource for living positively with arthritis: An interpretative phenomenological analysis of older women’s accounts

This is the post-print version of the final paper published in Journal of Aging Studies. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2010 Elsevier B.V.This study explored whether and how visual art-making, as a leisure activity, provided a coping resource for older women affected by arthritis. Twelve older women (aged 62–81) were interviewed. They had lived with arthritis for many years, and engaged in arts and crafts regularly. Transcripts were explored through Interpretative Phenomenological Analysis. Three main themes were identified. Firstly, most participants experienced art-making as a powerful means of controlling arthritis pain, through deep concentration, and through use of color and imagery. Secondly, participants experienced art-making as encouraging sustained attention to the outside world, offering psychological escape from the confines of the body and home. Thirdly, art-making protected and promoted identity, for example, through integrating current and former selves, enabling participants to express and re-experience certain valued memories, and engage in personal development. Some participants felt able to celebrate positive difference from others, on the basis of their art rather than their illness