Human Evolution IV Session Formal Sciences A multidisciplinary anthropic focus.

Slides:



Advertisements
Similar presentations
İDB 408 LINGUISTIC PHILOSOPHY 2010/2011 Spring Term Instructor: Dr. Filiz Ç. Yıldırım.
Advertisements

Human Evolution Session III Man-Neurology A multidisciplinary anthropic focus.
Artificial Intelligence
CS 345: Chapter 9 Algorithmic Universality and Its Robustness
INTRODUCTION TO MODELING
Meditations on First Philosophy
Science-Based Discussion Of Free Will Synopsis: Free Will: The capacity of mental intent to influence physical behavior. Classical mechanics makes a person’s.
Weber ‘Objective Possibility and Adequate Causation in Historical Explanation’.
AI 授課教師:顏士淨 2013/09/12 1. Part I & Part II 2  Part I Artificial Intelligence 1 Introduction 2 Intelligent Agents Part II Problem Solving 3 Solving Problems.
Kant, Transcendental Aesthetic
Scientific realism. Varieties of (the problem of) realism Ontological: is there a mind-independent world? Epistemological: can we know something about.
HISTORY OF LOGIC BY JOHN NAGUIB. What is Logic? The science or study of how to evaluate arguments and reasoning. “Logic is new and necessary reasoning”
From Kant To Turing He Sun Max Planck Institute for Informatics.
Human Evolution Session I Matter-Universe A multidisciplinary anthropic focus.
Logic and Set Theory.
CS 357 – Intro to Artificial Intelligence  Learn about AI, search techniques, planning, optimization of choice, logic, Bayesian probability theory, learning,
Human Evolution Session V Philosophy-Theology A multidisciplinary anthropic focus.
COMP 3009 Introduction to AI Dr Eleni Mangina
Computability Thank you for staying close to me!! Learning and thinking More algorithms... computability.
Qualitative research in psychology. A distinct research process Inquiries of knowledge that are outside the framework prescribed by the scientific method,
Philosophy of Mathematics
Mathematical Explanations and Arguments Number Theory for Elementary School Teachers: Chapter 1 by Christina Dionne Number Theory for Elementary School.
Society: the Basics Chapter 1.
Definitions of Reality (ref . Wiki Discussions)
Human Evolution II Session Life A multidisciplinary anthropic focus.
ARTIFICIAL INTELLIGENCE Introduction: Chapter 1. Outline Course overview What is AI? A brief history The state of the art.
CISC4/681 Introduction to Artificial Intelligence1 Introduction – Artificial Intelligence a Modern Approach Russell and Norvig: 1.
Introduction: Chapter 1
Chapter 2: Reality Modern Metaphysics: Descartes
Logic. Mathematical logic is a subfield of mathematics exploring the applications of formal logic to mathematics. Topically, mathematical logic bears.
Institute for Experimental Physics University of Vienna Institute for Quantum Optics and Quantum Information Austrian Academy of Sciences Undecidability.
Language Objective: Students will be able to practice agreeing and disagreeing with partner or small group, interpret and discuss illustrations, identify.
LOGIC AND ONTOLOGY Both logic and ontology are important areas of philosophy covering large, diverse, and active research projects. These two areas overlap.
Virtual Canada 2.0. » Knowledge is not just information » Knowledge is not philosophy (but it can be approached through philosophical inquiry) » There.
Lecture 18. Unsolvability Before the 1930’s, mathematics was not like today. Then people believed that “everything true must be provable”. (More formally,
Logic. What is logic? Logic (from the Ancient Greek: λογική, logike) is the use and study of valid reasoning. The study of logic features most prominently.
Artificial Intelligence: Introduction Department of Computer Science & Engineering Indian Institute of Technology Kharagpur.
The Turn to the Science The problem with substance dualism is that, given what we know about how the world works, it is hard to take it seriously as a.
Introduction to the Anisa Model Dan Jordan July 1981 Lecture 3B Philosophy of Science.
1 CS 385 Fall 2006 Chapter 1 AI: Early History and Applications.
Roger Penrose’s Argument Against Though Computation.
Artificial Intelligence
Philosophy.
“Cogito, ergo sum.” “I think, therefore I am.”.  chief architect of 17 th C intellectual revolution  laid foundations of ‘modern scientific age’
CHAPTER 3: R EALITY AND B EING. I NTRODUCTION Metaphysics is the attempt to answer the question: What is real? You might think that reality just consists.
Definitions of Reality (ref. Wiki Discussions). Reality Two Ontologic Approaches What exists: REALISM, independent of the mind What appears: PHENOMENOLOGY,
Artificial Intelligence “Introduction to Formal Logic” Jennifer J. Burg Department of Mathematics and Computer Science.
Social Research and the Internet Welcome to the Second Part of this Course! My name is Maria Bakardjieva.
Lecture №1 Role of science in modern society. Role of science in modern society.
FOUNDATIONS OF ARTIFICIAL INTELLIGENCE
Philosophy An introduction. What is philosophy? Ancient Greek philosopher Aristotle said that philosophy is ‘the science which considers truth’
What is Postmodernism? A complicated term A set of ideas emerged as an area of academic study since the mid-1980s It is hard to define it is a concept.
Key Ideas In Content Math 412 January 14, The Content Standards Number and Operations Algebra Geometry Measurement Data Analysis and Probability.
Marlee Mines.  Logic is more focused on deductive reasoning and proof.  Personally, I really thought that for math, logic was kind of fun. I liked that.
The philosophy of Ayn Rand…. Objectivism Ayn Rand is quoted as saying, “I had to originate a philosophical framework of my own, because my basic view.
Knowledge Theories of Knowledge.
A historical introduction to the philosophy of mathematics
Lecture 1 What is metaphysics?
What is Mathematics? The science (or art?) that deals with numbers, quantities, shapes, patterns and measurement An abstract symbolic communication system.
Computable Functions.
Introduction to Existentialism
TASHKENT MEDICAL ACADEMY CHAIR OF PUBLIC SCIENCES № 1
Human intellect.
Philosophy of Mathematics 1: Geometry
Major Periods of Western Philosophy
Mathematics and Knowledge
Introduction Artificial Intelligent.
Week 5: INTERNAL CRISIS Armahedi Mahzar ICAS Jacarta 2010
What is Postmodernism? A complicated term
An example of the “axiomatic approach” from geometry
Presentation transcript:

Human Evolution IV Session Formal Sciences A multidisciplinary anthropic focus

Creating formal sciences Interdisciplinarity leads us to formal activity of the mind. The human brain is gifted with functional skills to: perceive and analyze a world of structures abstract certain structural features of reality conceive and imagine new forms and structures Why is the human mind capable of creating formal sciences? Could mental forms, formalization, formal sciences, exist without brains? (Hofstadter) 2

Structures and rationality Our human evolutive sensitive experience is structured by the perception of:  Differentiated objects as a unity (elements of a set).  Structures, operations and relations between them  Consequential, logical, unity 3

4 Structures and rationality The world is experienced as a variety of structures logically involved in other structures of superior level. We do not know neither the final micro-physic nor the final macro- physic structures, but we know a multiplicity of consequential intermediate connections.

Counting and measurements The first formal abstraction was probably that of numbers and geometric figures. Human mind was capable:  To perceive differentiated entities: two fish, three stones…measure changes in time: days, seasons, years… compare size, shape and relative position of geometrical figures.  To formally represent these entities: by abstract numerical structures concerning numbers and operations on them and abstract geometrical structures with metrical properties. 5

Mayan numerals 6 Counting and measurements

Classical arithmetic and geometry Formal Sciences seemed to be firmly established on the simple foundation of numbers and geometry:  The formal language of mathematics allowed counting and space-time measurements.  Developments in formal logic and set theory led to questions about mathematical certainty: What is the cause of mathematical certainty? Why does mathematical reason work like it actually does? What is the ontological status of formal entities? 7

Formal theories 8

Foundation of mathematics  The relationship between mathematics and logic.  Philosophers of mathematics began to divide into various schools of thought.  Logic apriorism, formalism and intuitionism emerged partly in response to the search for the causes of mathematical certainty. 9

Apriorism  Platonism suggests that mathematical entities exist independently of the human mind.  E. Kant believes that the objectivity of mathematics is based in space and time as an a priori forms of sensibility.  Different forms of apriorism remain present among today mathematicians.  For Roger Penrose some mathematical assertions belong to an unchanging world of essences. 10

Logicism Mathematics can be known a priori because it is part of logic. Logic is the proper foundation of mathematics. Logicism becomes strong with the formalization of logic. G. Frege constructed a formal logical system that made it possible to represent the logical inferences as formal operations. This program was continued by Russell and Whitehead. 11

Formalism Formal logic is a part of formal mathematics. Can mathematics rationally justify itself as a purely formal science? The meta-mathematical Hilbert program intends to justify mathematics as a pure formal science. Meta-mathematics uses mathematics as a formal language to speak about mathematics as a formal object. 12

Intuitionism/constructivism Gödel caused a crisis in the Hilbert’s programme proving that, if the formal system of arithmetic is consistent, then it is incomplete. Intuitionism rejected the meta-mathematical formal foundation of mathematics. Only the mathematical entities which can be explicitly constructed are admitted. Intuitionist logic does not contain the law of excluded middle. Constructivism regards the sets with infinite elements. 13

Objective reality 14

Natural aposteriorism What is the origin of human reason’s formal capacities?  Aposteriorism responds to the evolutive adaptation of consciousness to an objective and structural reality.  Neurological anthropology, evolutive epistemology, and authors like J. Piaget and X. Zubiri do support this point of view.  It is congruent with the paradigm of evolution in modern Science. 15

Natural aposteriorism Aposteriorism states the:  structural construction of an objective physical world.  emergent properties of mind to adapt behaviourally to this structural world.  emergent structural representation of reality and capacity to abstract specific structural features.  emergent skills to imagine created structural forms in order to open new possibilities for knowledge and technology 16

Computationalism  Computing is formal mathematics applied to the development of algorithms.  From ancient times algorithmic processes have been used in algebra and formal logic.  The old mechanist ideal consisted of obtaining a mechanical artifice by which it would be possible to execute all the deductions.  In 1936 Turing specified the informal idea of an algorithm through what we call the Turing machine. 17

Computationalism By means of his machine, Turing showed that there is no general solution to the Decidability’s Problem: Given a formal statement in a formal system, there is not always a general algorithm which decides if the statement is valid or not. The incompleteness of arithmetic caused disappointment against the mechanicist ideal, but the negative solution to the problem of decidability by the Turing machine, in some way, involves a deepening in this disappointment. 18

Liberation and extension of FFSS 19

Liberation and extension of FFSS The applicability of computing has highlighted applied dimensions of languages and formal models. This has led to the use of a plurality of logics, suited to several finalities. The existence of a plurality of logics opens up new perspectives for scientific language. 20

Anthropic perspectives Reality:  Formal languages allow a high degree of objectivity. Is this objectivity total? Are formal sciences really objective and independent of the subject that formulates them?  The pluralism of formal systems and their undecidability leads us to ask about the rationality of inevitable non formal decisions.  Are formal sciences a mask disfiguring the real world?  How does mathematics access the real world? 21

Anthropic perspectives Technology:  We can say that we control a scientific theory when we have expressed it in formal language. Formal language, as it is objective, permits the technological implementation of scientific theories.  Do formal sciences qualify natural sciences for a new design of theoretical frameworks of new instrumental machinery to formalize and control reality? 22

Anthropic perspectives Metaphysics:  Do formal sciences formalize open or closed systems?  Will they establish insurmountable limits to human reason?  How far will they be able to formalize open or closed natural systems?  How does philosophy of formal sciences behave in face of metaphysics? 23

Expressing reality 24

Knowing reality New forms to know reality:  Classical formal sciences intended to be mechanicist.  Do we have new formalisms for new holistic ontologies? Formal sciences are analytical, not holistic. They can analytically interpret holistic properties.  The human mind: Do we have new classical- quantum forms to formally describe the functioning of our human mind? 25

Creating technology New forms for manipulating technologically reality:  Classical technology intends to be mechanistic. Technology is based in our formal control of reality, and classically the ideal of reality control was mechanist.  Quantum technology: quantum properties such as superposition and entanglement can be used to represent and structure formal data.  Classical-quantum technology for information processing: new forms to implement new technologies of the mind? 26

Speculating in metaphysics The main problem of metaphysics: Universe’s sufficiency/insufficiency Physical knowledge is constructed by applying formal models. Do formal sciences offer to physics a closed and self consistent formal system to organize natural knowledge? Philosophy should think about internal possibilities of formal sciences Gödel’s theorem shows that if formal systems are consistent, they are incomplete and therefore they are intrinsically open. Consistency is an unrenounceable value of formal systems 27

Speculating in metaphysics Do formal sciences qualify human reason for an open or a closed metaphysics? Will formal sciences empower human reason for an absolute consistent dominium over natural reality? 28