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.
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 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.
By applying research in artificial intelligence to problems in the philosophy of science, Paul Thagard develops an exciting new approach to the study of scientific reasoning. This approach uses computational ideas to shed light on how scientific theories are discovered, evaluated, and used in explanations. Thagard describes a detailed computational model of problem solving and discovery that provides a conceptually rich yet rigorous alternative to accounts of scientific knowledge based on formal logic, and he uses it to illuminate such topics as the nature of concepts, hypothesis formation, analogy, and theory justification.
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.
This book is an essay on relevant problems of epistemology (the theory of knowledge) related to computer science. It draws a continuous line between the earliest scientific approaches of epistemology, starting with the Greek Classics and the recent practical and theoretical problems of computer modelling, and by that the appropriate application of computers to our present problems. Uncertainty, logic and language are the key issues of this road leading to some new aspects of cognitive psychology and unification of the different results for a modelling procedure. The book is not a textbook but a critical survey of usual and advertised methods with an evaluation of them from the point of view of their applicability, reliability and limits. Probability, Bayesian, Dempster-Shafer, fuzzy and other approaches are treated in this way in uncertainty, different worlds' concepts, non-monotonic logic and other methods and views in logic. The emphasis in linguistics is put on the meta concept, and in cognitive applications of the pattern concept.Written mostly in an entertaining style, this book provides a more palatable reading of a profound subject.
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.
