The purpose of this book, originally published in 1987, was to contribute to the advance of artificial intelligence by clarifying and removing the major sources of philosophical confusion at the time which continued to preoccupy scientists and thereby impede research. Unlike the vast majority of philosophical critiques of AI, however, each of the authors in this volume has made a serious attempt to come to terms with the scientific theories that have been developed, rather than attacking superficial 'straw men' which (...) bear scant resemblance to the complex theories that have been developed. For each is convinced that the philosopher's responsibility is to contribute from his own special intellectual point of view to the progress of such an important field, rather than sitting in lofty judgement dismissing the efforts of their scientific peers. The aim of this book is thus to correct some of the common misunderstandings of its subject. The technical term Artificial Intelligence has created considerable unnecessary confusion because of the ordinary meanings associated with it, and for that very reason, the term is endlessly misused and abused. The essays collected here all aim to expound the true nature of AI, and to remove the ill-conceived philosophical discussions which seek answers to the wrong questions in the wrong ways. Philosophical discussions and decisions about the proper use of AI need to be based on a proper understanding of the manner in which AI-scientists achieve their results; in particular, in their dependence on the initial planning input of human beings. The collection combines the Anglo-Saxon school of analytical philosophy with scientific and psychological methods of investigation. The distinguished authors in this volume represent a cross-section of philosophers, psychologists, and computer scientists from all over the world. The result is a fascinating study in the nature and future of AI, written in a style which is certain to appeal and inform laymen and specialists alike. has created considerable unnecessary confusion because of the ordinary meanings associated with it, and for that very reason, the term is endlessly misused and abused. The essays collected here all aim to expound the true nature of AI, and to remove the ill-conceived philosophical discussions which seek answers to the wrong questions in the wrong ways. Philosophical discussions and decisions about the proper use of AI need to be based on a proper understanding of the manner in which AI-scientists achieve their results; in particular, in their dependence on the initial planning input of human beings. The collection combines the Anglo-Saxon school of analytical philosophy with scientific and psychological methods of investigation. The distinguished authors in this volume represent a cross-section of philosophers, psychologists, and computer scientists from all over the world. The result is a fascinating study in the nature and future of AI, written in a style which is certain to appeal and inform laymen and specialists alike. inform laymen and specialists alike. (shrink)

Rule systems are used every day to share experience, pre-existing knowledge, beliefs and ethical rules, and to provide instructions for future action. This article expands and builds upon an approach pioneered by Julius M. Moravcsik to argue that ethics cannot be completely codified into a rigid set of rules, because any such set lacks a misapplication-correcting sensibility. Thus, an ethics that is transferred purely by means of a rule-set is incomplete and thus cannot be used reliably to guide future action. (...) The balancing sensibility is formed out of pre-existing expert knowledge and takes account of the limitations of rule-sets in specific contexts. Moravcsik’s approach is then expanded by incorporating it into a holistic framework for the analysis, guidance and development of actions to be taken to support the emergence, selection and implementation of solutions for a sustainable future. This approach has profound implications for managers and organisers in new or critical situations. (shrink)

When defending his doctoral dissertation, Umberto Eco was accused of narrative fallacy because he presented his research as if it were a detective novel. He should have presented only his conclusions. However, this criticism inspired Eco to claim that “[e]very scientific book should be... the report of a quest for some Holy Grail” (Eco, 2011, p. 7). Aquestpresupposes engagement on both sides of the knowledge exchange. Building upon our own research, we have produced a model-theoretic scheme for management studies in (...) support of the practicability of Eco’s claim. The idea is to re-create the engagement when establishing problem-solving competence in managerial learning: We start with an analysis of real-life cases of successful managerial problem solving (“best practices”). Next, we attempt to find the common denominator of those successful solutions. Lastly, we instantiate the principles found in the previous step in new problem situations, and thus provide new uses for them. (shrink)