Computational Epistemology From Reality To Wisdom

Computational Epistemology: From Reality to Wisdom is a journey through the mysteries of the Universe, the mind, wise intelligent machines, and reality as a whole with its extra spatial dimensions leading to a unifying theory of everything. Explore the limits of 'everything and nothing' as the truth emerges in simple concepts with their attached analogies, metaphors, and field equations.

This book constitutes the refereed proceedings of the 10th IFIP WG 11.11 International Conference on Trust Management, IFIPTM 2016, held in Darmstadt, Germany, in July 2016. The 7 revised full papers and 7 short papers presented together with an invited paper were carefully reviewed and selected from 26 submissions. The papers cover a wide range of topics including trust architecture, trust modeling, trust metrics and computation, reputation and privacy, security and trust, sociotechnical aspects of trust, and attacks on trust and reputation systems.

This edited book promotes and facilitates cybercrime research by providing a cutting-edge collection of perspectives on the critical usage of online data across platforms, as well as the implementation of both traditional and innovative analysis methods. The accessibility, variety and wealth of data available online presents substantial opportunities for researchers from different disciplines to study cybercrimes and, more generally, human behavior in cyberspace. The unique and dynamic characteristics of cyberspace often demand cross-disciplinary and cross-national research endeavors, but disciplinary, cultural and legal differences can hinder the ability of researchers to collaborate. This work also provides a review of the ethics associated with the use of online data sources across the globe. The authors are drawn from multiple disciplines and nations, providing unique insights into the value and challenges evident in online data use for cybercrime scholarship. It is a key text for researchers at the upper undergraduate level and above.

Why do we think differently from one another? Why do religious people adhere to their faith even against reason, whilst atheist thinkers label it “nonsense”? Why do some judges turn more to moral values and others less? Why do we attach different meanings to the same words? These questions can be tackled on psychological or sociological levels, but we can also analyze the subjects on the epistemological level. That is the purpose of this book. Thoughts and Ways of Thinking offers Source Theory as a single explanation for epistemic processes and their religious, legal and linguistic derivatives. The idea is simple: our senses, our understanding, our memory, the testimonies that we trust, and many other objects transmit data to us and so shape our beliefs. In this function they serve as our truth sources. Different beliefs stem from different sources or different hierarchies between same sources. This notion is formalized here through the new tool of Source Calculus, and, after balancing its relativistic consequences by adding pragmatic constraints, it is applied to the philosophies of religion, law and language. With this unified theory, old doubts are framed in new perspectives, and some of them even find their solution.

This book features papers from CEPE-IACAP 2015, a joint international conference focused on the philosophy of computing. Inside, readers will discover essays that explore current issues in epistemology, philosophy of mind, logic, and philosophy of science from the lens of computation. Coverage also examines applied issues related to ethical, social, and political interest. The contributors first explore how computation has changed philosophical inquiry. Computers are now capable of joining humans in exploring foundational issues. Thus, we can ponder machine-generated explanation, thought, agency, and other quite fascinating concepts. The papers are also concerned with normative aspects of the computer and information technology revolution. They examine technology-specific analyses of key challenges, from Big Data to autonomous robots to expert systems for infrastructure control and financial services. The virtue of a collection that ranges over philosophical questions, such as this one does, lies in the prospects for a more integrated understanding of issues. These are early days in the partnership between philosophy and information technology. Philosophers and researchers are still sorting out many foundational issues. They will need to deploy all of the tools of philosophy to establish this foundation. This volume admirably showcases those tools in the hands of some excellent scholars.

In this book, internationally recognized experts in philosophy of science, computer science, and modeling and simulation are contributing to the discussion on how ontology, epistemology, and teleology will contribute to enable the next generation of intelligent modeling and simulation applications. It is well understood that a simulation can provide the technical means to display the behavior of a system over time, including following observed trends to predict future possible states, but how reliable and trustworthy are such predictions? The questions about what we can know (ontology), how we gain new knowledge (epistemology), and what we do with this knowledge (teleology) are therefore illuminated from these very different perspectives, as each experts uses a different facet to look at these challenges. The result of bringing these perspectives into one book is a challenging compendium that gives room for a spectrum of challenges: from general philosophy questions, such as can we use modeling and simulation and other computational means at all to discover new knowledge, down to computational methods to improve semantic interoperability between systems or methods addressing how to apply the recent insights of service oriented approaches to support distributed artificial intelligence. As such, this book has been compiled as an entry point to new domains for students, scholars, and practitioners and to raise the curiosity in them to learn more to fully address the topics of ontology, epistemology, and teleology from philosophical, computational, and conceptual viewpoints.

This book critically assesses the implications of modern medicine's claim to be a natural science. Medicine models its scientific and clinical self-understanding on an obsolete positivist conception of science, reality, and consciousness. In this view, the body is modeled as a biological machine, disease as breakdown of the machine, and therapy as physical measures to fix the machine. The problems besetting medical science and practice are rooted in the inadequacy of the positivist philosophical assumptions regarding the nature of science, reality and consciousness To base the diagnostic practices and therapeutic regimes purely on knowledge of physical processes in the human body is, in view of this analysis, at best grossly inadequate, at worst thoroughly dehumanizing (Anton van Niekerk: Editorial Foreword). This means that medicine's clinical method cannot be transformed without transforming the underlying view of science, of reality, and of the human person. The book proposes a broader model of science which overcomes the outdated dichotomy between human and natural sciences. Science is viewed as an interdisciplinary exercise generating multiple perspectives. The insights of the human sciences are essential for scientific clinical medicine. Utilizing evolutionary biology and complexity theory, the author proposes an alternative understanding of reality and human consciousness as a basis for a transformed clinical method. Reality is a hierarchy of systems of increasing complexity. Different levels can be distinguished, namely material systems, living material systems, conscious living material systems and self-conscious living material systems. Each level represents a new manner of being which requires a different scientific discourse of understanding. Using this model of reality the author argues against understanding human consciousness as a byproduct of physical processes in the brain. The human person is a self-conscious, complex, psycho-somatic system, whose well-being is conditioned by much more than physical processes.

Computational psychoanalysis is a new field stemming from Freudian psychoanalysis. The new area aims to understand the primary formal structures and running mechanisms of the unconscious while implementing them into computer sciences. Computational Psychoanalysis and Formal Bi-Logic Frameworks provides emerging information on this new field which uses psychoanalysis and the unconscious mind to make advancements in computational research. While highlighting the challenges of applying analytical logic trends to primary formal structures, readers will learn the valuable outputs to society when these trends are successfully implemented. This book is an important resource for computer scientists, researchers, academics, and other professionals seeking current research on applying psychoanalysis and Freudian concepts to computational structures.