Philosophy of Mind
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Life Without Meaning? Richard Norman
17 Life Without Meaning? Richard Norman The Alpha Course, a well‐known evangelical Christian programme, advertises itself with posters displaying the words THE MEANING OF LIFE IS_________, followed by the invitation ‘Fill in the blanks at alpha.org’. Followers of the course will discover that ‘Men and women were created to live in a relationship with God’, and that ‘without that relationship there will always be a hunger, an emptiness, a feeling that something is missing’.1 We all have that need because we are all sinners, we are told, and the truth which will fill the need is that Jesus Christ died to save us from our sins. Not all Christian or other religious views about the meaning of life are as simplistic as this, but they typically share the assumptions that the meaning of life is to be found in some belief whose truth we need to recognize, and that this is a belief about the purpose for which we exist. A further implication is that this purpose is the purpose intended by the God who created us, and that if we fail to identify and live in accordance with that purpose, our lives will lack meaning. The assumption is echoed in the question many humanists will have encountered: if you don’t believe in a God, what’s the point of it all? And many people who don’t share the answer still accept the legitimacy of the question – ‘What is the meaning of life?’ – and assume that what we need is a correct belief, religious or non‐religious, which will fill the blank in the sentence ‘The meaning of life is …’. -
Artificial General Intelligence and Classical Neural Network
Artificial General Intelligence and Classical Neural Network Pei Wang Department of Computer and Information Sciences, Temple University Room 1000X, Wachman Hall, 1805 N. Broad Street, Philadelphia, PA 19122 Web: http://www.cis.temple.edu/∼pwang/ Email: [email protected] Abstract— The research goal of Artificial General Intelligence • Capability. Since we often judge the level of intelligence (AGI) and the notion of Classical Neural Network (CNN) are of other people by evaluating their problem-solving capa- specified. With respect to the requirements of AGI, the strength bility, some people believe that the best way to achieve AI and weakness of CNN are discussed, in the aspects of knowledge representation, learning process, and overall objective of the is to build systems that can solve hard practical problems. system. To resolve the issues in CNN in a general and efficient Examples: various expert systems. way remains a challenge to future neural network research. • Function. Since the human mind has various cognitive functions, such as perceiving, learning, reasoning, acting, I. ARTIFICIAL GENERAL INTELLIGENCE and so on, some people believe that the best way to It is widely recognized that the general research goal of achieve AI is to study each of these functions one by Artificial Intelligence (AI) is twofold: one, as certain input-output mapping. Example: various intelligent tools. • As a science, it attempts to provide an explanation of • Principle. Since the human mind seems to follow certain the mechanism in the human mind-brain complex that is principles of information processing, some people believe usually called “intelligence” (or “cognition”, “thinking”, that the best way to achieve AI is to let computer systems etc.). -
Philosophy of Science and Philosophy of Chemistry
Philosophy of Science and Philosophy of Chemistry Jaap van Brakel Abstract: In this paper I assess the relation between philosophy of chemistry and (general) philosophy of science, focusing on those themes in the philoso- phy of chemistry that may bring about major revisions or extensions of cur- rent philosophy of science. Three themes can claim to make a unique contri- bution to philosophy of science: first, the variety of materials in the (natural and artificial) world; second, extending the world by making new stuff; and, third, specific features of the relations between chemistry and physics. Keywords : philosophy of science, philosophy of chemistry, interdiscourse relations, making stuff, variety of substances . 1. Introduction Chemistry is unique and distinguishes itself from all other sciences, with respect to three broad issues: • A (variety of) stuff perspective, requiring conceptual analysis of the notion of stuff or material (Sections 4 and 5). • A making stuff perspective: the transformation of stuff by chemical reaction or phase transition (Section 6). • The pivotal role of the relations between chemistry and physics in connection with the question how everything fits together (Section 7). All themes in the philosophy of chemistry can be classified in one of these three clusters or make contributions to general philosophy of science that, as yet , are not particularly different from similar contributions from other sci- ences (Section 3). I do not exclude the possibility of there being more than three clusters of philosophical issues unique to philosophy of chemistry, but I am not aware of any as yet. Moreover, highlighting the issues discussed in Sections 5-7 does not mean that issues reviewed in Section 3 are less im- portant in revising the philosophy of science. -
Artificial Intelligence: Distinguishing Between Types & Definitions
19 NEV. L.J. 1015, MARTINEZ 5/28/2019 10:48 AM ARTIFICIAL INTELLIGENCE: DISTINGUISHING BETWEEN TYPES & DEFINITIONS Rex Martinez* “We should make every effort to understand the new technology. We should take into account the possibility that developing technology may have im- portant societal implications that will become apparent only with time. We should not jump to the conclusion that new technology is fundamentally the same as some older thing with which we are familiar. And we should not hasti- ly dismiss the judgment of legislators, who may be in a better position than we are to assess the implications of new technology.”–Supreme Court Justice Samuel Alito1 TABLE OF CONTENTS INTRODUCTION ............................................................................................. 1016 I. WHY THIS MATTERS ......................................................................... 1018 II. WHAT IS ARTIFICIAL INTELLIGENCE? ............................................... 1023 A. The Development of Artificial Intelligence ............................... 1023 B. Computer Science Approaches to Artificial Intelligence .......... 1025 C. Autonomy .................................................................................. 1026 D. Strong AI & Weak AI ................................................................ 1027 III. CURRENT STATE OF AI DEFINITIONS ................................................ 1029 A. Black’s Law Dictionary ............................................................ 1029 B. Nevada ..................................................................................... -
Mind Body Problem and Brandom's Analytic Pragmatism
The Mind-Body Problem and Brandom’s Analytic Pragmatism François-Igor Pris [email protected] Erfurt University (Nordhäuserstraße 63, 99089 Erfurt, Germany) Abstract. I propose to solve the hard problem in the philosophy of mind by means of Brandom‟s notion of the pragmatically mediated semantic relation. The explanatory gap between a phenomenal concept and the corresponding theoretical concept is a gap in the pragmatically mediated semantic relation between them. It is closed if we do not neglect the pragmatics. 1 Introduction In the second section, I will formulate the hard problem. In the third section, I will describe a pragmatic approach to the problem and propose to replace the classical non-normative physicalism/naturalism with a normative physicalism/naturalism of Wittgensteinian language games. In subsection 3.1, I will give a definition of a normative naturalism. In subsection 3.2, I will make some suggestions concerning an analytic interpretation of the second philosophy of Wittgenstein. In the fourth section, I will propose a solution to the hard problem within Brandom‟s analytic pragmatism by using the notion of the pragmatically mediated semantic relation. In the fifth section, I will make some suggestions about possible combinatorics related to pragmatically mediated semantic relations. In the sixth section, I will consider pragmatic and discursive versions of the mind-body identity M=B. In the last section, I will conclude that the explanatory gap is a gap in a pragmatically mediated semantic relation between B and M. It is closed if we do not neglect pragmatics. 2 The Hard Problem The hard problem in the philosophy of mind can be formulated as follows. -
KNOWLEDGE ACCORDING to IDEALISM Idealism As a Philosophy
KNOWLEDGE ACCORDING TO IDEALISM Idealism as a philosophy had its greatest impact during the nineteenth century. It is a philosophical approach that has as its central tenet that ideas are the only true reality, the only thing worth knowing. In a search for truth, beauty, and justice that is enduring and everlasting; the focus is on conscious reasoning in the mind. The main tenant of idealism is that ideas and knowledge are the truest reality. Many things in the world change, but ideas and knowledge are enduring. Idealism was often referred to as “idea-ism”. Idealists believe that ideas can change lives. The most important part of a person is the mind. It is to be nourished and developed. Etymologically Its origin is: from Greek idea “form, shape” from weid- also the origin of the “his” in his-tor “wise, learned” underlying English “history.” In Latin this root became videre “to see” and related words. It is the same root in Sanskrit veda “knowledge as in the Rig-Veda. The stem entered Germanic as witan “know,” seen in Modern German wissen “to know” and in English “wisdom” and “twit,” a shortened form of Middle English atwite derived from æt “at” +witen “reproach.” In short Idealism is a philosophical position which adheres to the view that nothing exists except as it is an idea in the mind of man or the mind of God. The idealist believes that the universe has intelligence and a will; that all material things are explainable in terms of a mind standing behind them. PHILOSOPHICAL RATIONALE OF IDEALISM a) The Universe (Ontology or Metaphysics) To the idealist, the nature of the universe is mind; it is an idea. -
Descartes' Influence in Shaping the Modern World-View
R ené Descartes (1596-1650) is generally regarded as the “father of modern philosophy.” He stands as one of the most important figures in Western intellectual history. His work in mathematics and his writings on science proved to be foundational for further development in these fields. Our understanding of “scientific method” can be traced back to the work of Francis Bacon and to Descartes’ Discourse on Method. His groundbreaking approach to philosophy in his Meditations on First Philosophy determine the course of subsequent philosophy. The very problems with which much of modern philosophy has been primarily concerned arise only as a consequence of Descartes’thought. Descartes’ philosophy must be understood in the context of his times. The Medieval world was in the process of disintegration. The authoritarianism that had dominated the Medieval period was called into question by the rise of the Protestant revolt and advances in the development of science. Martin Luther’s emphasis that salvation was a matter of “faith” and not “works” undermined papal authority in asserting that each individual has a channel to God. The Copernican revolution undermined the authority of the Catholic Church in directly contradicting the established church doctrine of a geocentric universe. The rise of the sciences directly challenged the Church and seemed to put science and religion in opposition. A mathematician and scientist as well as a devout Catholic, Descartes was concerned primarily with establishing certain foundations for science and philosophy, and yet also with bridging the gap between the “new science” and religion. Descartes’ Influence in Shaping the Modern World-View 1) Descartes’ disbelief in authoritarianism: Descartes’ belief that all individuals possess the “natural light of reason,” the belief that each individual has the capacity for the discovery of truth, undermined Roman Catholic authoritarianism. -
The Absurd Author(S): Thomas Nagel Reviewed Work(S): Source: the Journal of Philosophy, Vol
Journal of Philosophy, Inc. The Absurd Author(s): Thomas Nagel Reviewed work(s): Source: The Journal of Philosophy, Vol. 68, No. 20, Sixty-Eighth Annual Meeting of the American Philosophical Association Eastern Division (Oct. 21, 1971), pp. 716-727 Published by: Journal of Philosophy, Inc. Stable URL: http://www.jstor.org/stable/2024942 . Accessed: 19/08/2012 01:08 Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at . http://www.jstor.org/page/info/about/policies/terms.jsp . JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected]. Journal of Philosophy, Inc. is collaborating with JSTOR to digitize, preserve and extend access to The Journal of Philosophy. http://www.jstor.org 7i6 THE JOURNAL OF PHILOSOPHY The formerstands as valid only if we can findcriteria for assigning a differentlogical formto 'allegedly' than to 'compulsively'.In this case, the criteriaexist: 'compulsively'is a predicate, 'allegedly' a sentenceadverb. But in countless other cases, counterexamplesare not so easily dismissed.Such an example, bearing on the inference in question, is Otto closed the door partway ThereforeOtto closed the door It seems clear to me that betterdata are needed beforeprogress can be made in this area; we need much more refinedlinguistic classificationsof adverbial constructionsthan are presentlyavail- able, ifour evidenceconcerning validity is to be good enough to per- mit a richerlogical theory.In the meantime,Montague's account stands: thereis no reason to thinka morerefined theory, if it can be produced, should not be obtainable within the frameworkhe has given us. -
Is AI Intelligent, Really? Bruce D
Seattle aP cific nivU ersity Digital Commons @ SPU SPU Works Summer August 23rd, 2019 Is AI intelligent, really? Bruce D. Baker Seattle Pacific nU iversity Follow this and additional works at: https://digitalcommons.spu.edu/works Part of the Artificial Intelligence and Robotics Commons, Comparative Methodologies and Theories Commons, Epistemology Commons, Philosophy of Science Commons, and the Practical Theology Commons Recommended Citation Baker, Bruce D., "Is AI intelligent, really?" (2019). SPU Works. 140. https://digitalcommons.spu.edu/works/140 This Article is brought to you for free and open access by Digital Commons @ SPU. It has been accepted for inclusion in SPU Works by an authorized administrator of Digital Commons @ SPU. Bruce Baker August 23, 2019 Is AI intelligent, really? Good question. On the surface, it seems simple enough. Assign any standard you like as a demonstration of intelligence, and then ask whether you could (theoretically) set up an AI to perform it. Sure, it seems common sense that given sufficiently advanced technology you could set up a computer or a robot to do just about anything that you could define as being doable. But what does this prove? Have you proven the AI is really intelligent? Or have you merely shown that there exists a solution to your pre- determined puzzle? Hmmm. This is why AI futurist Max Tegmark emphasizes the difference between narrow (machine-like) and broad (human-like) intelligence.1 And so the question remains: Can the AI be intelligent, really, in the same broad way its creator is? Why is this question so intractable? Because intelligence is not a monolithic property. -
Artificial Intelligence/Artificial Wisdom
Artificial Intelligence/Artificial Wisdom - A Drive for Improving Behavioral and Mental Health Care (06 September to 10 September 2021) Department of Computer Science & Information Technology Central University of Jammu, J&K-181143 Preamble An Artificial Intelligence is the capability of a machine to imitate intelligent human behaviour. Machine learning is based on the idea that machines should be able to learn and adapt through experience. Machine learning is a subset of AI. That is, all machine learning counts as AI, but not all AI counts as machine learning. Artificial intelligence (AI) technology holds both great promises to transform mental healthcare and potential pitfalls. Artificial intelligence (AI) is increasingly employed in healthcare fields such as oncology, radiology, and dermatology. However, the use of AI in mental healthcare and neurobiological research has been modest. Given the high morbidity and mortality in people with psychiatric disorders, coupled with a worsening shortage of mental healthcare providers, there is an urgent need for AI to help identify high-risk individuals and provide interventions to prevent and treat mental illnesses. According to the publication Spectrum News, a form of AI called "deep learning" is sometimes better able than human beings to spot relevant patterns. This five days course provides an overview of AI approaches and current applications in mental healthcare, a review of recent original research on AI specific to mental health, and a discussion of how AI can supplement clinical practice while considering its current limitations, areas needing additional research, and ethical implications regarding AI technology. The proposed workshop is envisaged to provide opportunity to our learners to seek and share knowledge and teaching skills in cutting edge areas from the experienced and reputed faculty. -
Newton.Indd | Sander Pinkse Boekproductie | 16-11-12 / 14:45 | Pag
omslag Newton.indd | Sander Pinkse Boekproductie | 16-11-12 / 14:45 | Pag. 1 e Dutch Republic proved ‘A new light on several to be extremely receptive to major gures involved in the groundbreaking ideas of Newton Isaac Newton (–). the reception of Newton’s Dutch scholars such as Willem work.’ and the Netherlands Jacob ’s Gravesande and Petrus Prof. Bert Theunissen, Newton the Netherlands and van Musschenbroek played a Utrecht University crucial role in the adaption and How Isaac Newton was Fashioned dissemination of Newton’s work, ‘is book provides an in the Dutch Republic not only in the Netherlands important contribution to but also in the rest of Europe. EDITED BY ERIC JORINK In the course of the eighteenth the study of the European AND AD MAAS century, Newton’s ideas (in Enlightenment with new dierent guises and interpre- insights in the circulation tations) became a veritable hype in Dutch society. In Newton of knowledge.’ and the Netherlands Newton’s Prof. Frans van Lunteren, sudden success is analyzed in Leiden University great depth and put into a new perspective. Ad Maas is curator at the Museum Boerhaave, Leiden, the Netherlands. Eric Jorink is researcher at the Huygens Institute for Netherlands History (Royal Dutch Academy of Arts and Sciences). / www.lup.nl LUP Newton and the Netherlands.indd | Sander Pinkse Boekproductie | 16-11-12 / 16:47 | Pag. 1 Newton and the Netherlands Newton and the Netherlands.indd | Sander Pinkse Boekproductie | 16-11-12 / 16:47 | Pag. 2 Newton and the Netherlands.indd | Sander Pinkse Boekproductie | 16-11-12 / 16:47 | Pag. -
Machine Guessing – I
Machine Guessing { I David Miller Department of Philosophy University of Warwick COVENTRY CV4 7AL UK e-mail: [email protected] ⃝c copyright D. W. Miller 2011{2018 Abstract According to Karl Popper, the evolution of science, logically, methodologically, and even psy- chologically, is an involved interplay of acute conjectures and blunt refutations. Like biological evolution, it is an endless round of blind variation and selective retention. But unlike biological evolution, it incorporates, at the stage of selection, the use of reason. Part I of this two-part paper begins by repudiating the common beliefs that Hume's problem of induction, which com- pellingly confutes the thesis that science is rational in the way that most people think that it is rational, can be solved by assuming that science is rational, or by assuming that Hume was irrational (that is, by ignoring his argument). The problem of induction can be solved only by a non-authoritarian theory of rationality. It is shown also that because hypotheses cannot be distilled directly from experience, all knowledge is eventually dependent on blind conjecture, and therefore itself conjectural. In particular, the use of rules of inference, or of good or bad rules for generating conjectures, is conjectural. Part II of the paper expounds a form of Popper's critical rationalism that locates the rationality of science entirely in the deductive processes by which conjectures are criticized and improved. But extreme forms of deductivism are rejected. The paper concludes with a sharp dismissal of the view that work in artificial intelligence, including the JSM method cultivated extensively by Victor Finn, does anything to upset critical rationalism.