Introduction: What is Cognitive Science? Typeset by FoilTEX 1

Similar documents
Abstractions and the Brain

Knowledge based expert systems D H A N A N J A Y K A L B A N D E

Philosophy 301L: Early Modern Philosophy, Spring 2012

Notes on The Sciences of the Artificial Adapted from a shorter document written for course (Deciding What to Design) 1

1 NETWORKS VERSUS SYMBOL SYSTEMS: TWO APPROACHES TO MODELING COGNITION

Proposal of Pattern Recognition as a necessary and sufficient principle to Cognitive Science

Seminar - Organic Computing

PHILOSOPHY & CULTURE Syllabus

What is Thinking (Cognition)?

Concept Acquisition Without Representation William Dylan Sabo

Neural Representation and Neural Computation. Philosophical Perspectives, Vol. 4, Action Theory and Philosophy of Mind (1990),

Evolution of Symbolisation in Chimpanzees and Neural Nets

NAME: East Carolina University PSYC Developmental Psychology Dr. Eppler & Dr. Ironsmith

Developing an Assessment Plan to Learn About Student Learning

AGENDA LEARNING THEORIES LEARNING THEORIES. Advanced Learning Theories 2/22/2016

Vision for Science Education A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas

Lecture 1: Basic Concepts of Machine Learning

Maximizing Learning Through Course Alignment and Experience with Different Types of Knowledge

Ph.D. in Behavior Analysis Ph.d. i atferdsanalyse

Module 12. Machine Learning. Version 2 CSE IIT, Kharagpur

TEACHING AND EXAMINATION REGULATIONS PART B: programme-specific section MASTER S PROGRAMME IN LOGIC

Introduction to World Philosophy Syllabus Fall 2013 PHIL 2010 CRN: 89658

EDIT 576 (2 credits) Mobile Learning and Applications Fall Semester 2015 August 31 October 18, 2015 Fully Online Course

MYCIN. The MYCIN Task

Visual CP Representation of Knowledge

Knowledge-Based - Systems

EDIT 576 DL1 (2 credits) Mobile Learning and Applications Fall Semester 2014 August 25 October 12, 2014 Fully Online Course

Machine Learning and Development Policy

An Introduction to the Minimalist Program

University of Groningen. Systemen, planning, netwerken Bosman, Aart

Introduction to Simulation

CONQUERING THE CONTENT: STRATEGIES, TASKS AND TOOLS TO MOVE YOUR COURSE ONLINE. Robin M. Smith, Ph.D.

UNIVERSITY OF THESSALY DEPARTMENT OF EARLY CHILDHOOD EDUCATION POSTGRADUATE STUDIES INFORMATION GUIDE

Philosophy. Philosophy 463. Degrees. Program Description

Computerized Adaptive Psychological Testing A Personalisation Perspective

Assessing and Providing Evidence of Generic Skills 4 May 2016

Introduction to Psychology

Self Study Report Computer Science

Lecture 1: Machine Learning Basics

Rendezvous with Comet Halley Next Generation of Science Standards

Is operations research really research?

MASTER OF SCIENCE (M.S.) MAJOR IN COMPUTER SCIENCE

Axiom 2013 Team Description Paper

Syllabus: Introduction to Philosophy

UNDERSTANDING DECISION-MAKING IN RUGBY By. Dave Hadfield Sport Psychologist & Coaching Consultant Wellington and Hurricanes Rugby.

KLI: Infer KCs from repeated assessment events. Do you know what you know? Ken Koedinger HCI & Psychology CMU Director of LearnLab

Arizona s English Language Arts Standards th Grade ARIZONA DEPARTMENT OF EDUCATION HIGH ACADEMIC STANDARDS FOR STUDENTS

IAT 888: Metacreation Machines endowed with creative behavior. Philippe Pasquier Office 565 (floor 14)

The CTQ Flowdown as a Conceptual Model of Project Objectives

Language Development: The Components of Language. How Children Develop. Chapter 6

Language Acquisition Fall 2010/Winter Lexical Categories. Afra Alishahi, Heiner Drenhaus

ENGBG1 ENGBL1 Campus Linguistics. Meeting 2. Chapter 7 (Morphology) and chapter 9 (Syntax) Pia Sundqvist

Applications of memory-based natural language processing

Learning Optimal Dialogue Strategies: A Case Study of a Spoken Dialogue Agent for

PAGE(S) WHERE TAUGHT If sub mission ins not a book, cite appropriate location(s))

Extending Place Value with Whole Numbers to 1,000,000

Objectives. Chapter 2: The Representation of Knowledge. Expert Systems: Principles and Programming, Fourth Edition

A student diagnosing and evaluation system for laboratory-based academic exercises

Rule-based Expert Systems

Breaking the Habit of Being Yourself Workshop for Quantum University

Innovative Methods for Teaching Engineering Courses

Fenstad, Jens Erik: Grammar, Geometry, & Brain. CSLI Lecture Notes. CSLI Pages.

A Case-Based Approach To Imitation Learning in Robotic Agents

A Philosopher Looks at STEM Quality in Higher Education from a Liberal Arts and Sciences Perspective Jeremy A. Gallegos, Ph.D. Friends University

Developing True/False Test Sheet Generating System with Diagnosing Basic Cognitive Ability

Ricochet Robots - A Case Study for Human Complex Problem Solving

RUDOLF CARNAP ON SEMANTICAL SYSTEMS AND W.V.O. QUINE S PRAGMATIST CRITIQUE

EGRHS Course Fair. Science & Math AP & IB Courses

Replies to Greco and Turner

Sociology and Anthropology

Biomedical Sciences (BC98)

Artificial Neural Networks

Integrating Meta-Level and Domain-Level Knowledge for Task-Oriented Dialogue

An Interactive Intelligent Language Tutor Over The Internet

Compositional Semantics

Appendix. Journal Title Times Peer Review Qualitative Referenced Authority* Quantitative Studies

Informatics 2A: Language Complexity and the. Inf2A: Chomsky Hierarchy

The College Board Redesigned SAT Grade 12

Inquiry Learning Methodologies and the Disposition to Energy Systems Problem Solving

Analysis: Evaluation: Knowledge: Comprehension: Synthesis: Application:

The Paradox of Structure: What is the Appropriate Amount of Structure for Course Assignments with Regard to Students Problem-Solving Styles?

Causal Link Semantics for Narrative Planning Using Numeric Fluents

Statewide Framework Document for:

UC Merced Proceedings of the Annual Meeting of the Cognitive Science Society

11:00 am Robotics and the Law: An American Perspective Prof. Ryan Calo, University of Washington School of Law

What is PDE? Research Report. Paul Nichols

FUZZY EXPERT. Dr. Kasim M. Al-Aubidy. Philadelphia University. Computer Eng. Dept February 2002 University of Damascus-Syria

PRODUCT COMPLEXITY: A NEW MODELLING COURSE IN THE INDUSTRIAL DESIGN PROGRAM AT THE UNIVERSITY OF TWENTE

Critical Thinking in Everyday Life: 9 Strategies

Guru: A Computer Tutor that Models Expert Human Tutors

Educational Technology: The Influence of Theory

Plenary Session The School as a Home for the Mind. Presenters Angela Salmon, FIU Erskine Dottin, FIU

Teaching a Laboratory Section

Qualitative Research and Audiences. Thursday, February 23, 17

Motivation to e-learn within organizational settings: What is it and how could it be measured?

Highlighting and Annotation Tips Foundation Lesson

Accelerated Learning Course Outline

A Grammar for Battle Management Language

AQUA: An Ontology-Driven Question Answering System

Unit 7 Data analysis and design

Transcription:

Introduction: What is Cognitive Science? Typeset by FoilTEX 1

Cognitive science is the interdisciplinary study of mind and intelligence philosophy psychology neuroscience artificial intelligence linguistics anthropology Cognitive science is the interdisciplinary scientific study of the mind and its processes. It examines what cognition is, what it does and how it works. It includes research on intelligence and behavior, especially focusing on how information is represented, processed, and transformed (in faculties such as perception, language, memory, reasoning, and emotion) within nervous systems (humans or other animals) and machines (e.g. computers). Cognitive science consists of multiple research disciplines, including psychology, artificial intelligence, philosophy, neuroscience, linguistics, and anthropology. It spans many levels of analysis, from low-level learning and decision mechanisms to high-level logic and planning; from neural circuitry to modular brain organization. The fundamental concept of cognitive science is that thinking can best be understood in terms of representational structures in the mind and computational procedures that operate on those structures. Typeset by FoilTEX 2

History of cognitive science: preliminary remarks Philosophy: Fundamental questions since Aristotle and Plato: 1. What is the nature of mind? Metaphysics and nature of reality 2. What is the nature of knowledge? Epistemology and nature of knowledge Psychology:, 1890s. Behaviorism: can t study what is in the mind (from philosophical psychology towards experimental psychology ) 1950 s. Miller, etc.: mind has structure 3. How do we think? Neuroscience: 4. How does the brain make a mind? Artificial intelligence: 1956. Minsky, Newell, Simon, Mc- Carthy 5. How to construct mind? Linguistics :1956. Chomsky versus behaviorist view of language. 6. Language acquisition and evolution. Innateness? Anthropology: social, cultural aspects of knowledge 7. Is there any cultural difference in the thinking of people? Typeset by FoilTEX 3

Cognitive science is the interdisciplinary study of mind and intelligence The need of INTEGRA- TION: How can all these fields, with different histories and methodologies can be integrated to produce an understanding of mind? Typeset by FoilTEX 4

Key concepts Mental representation Computational procedures Thinking = Mental representaions + computational procedures more precisely: Thinking = representational structures + procedures that operate on those structures. Analogy between computation and thinking: data structures mental representations + algorithms + procedures = running programs = thinking Methodological consequence: study the mind by developing computer simulations of thinking Typeset by FoilTEX 5

Philosophy from the Greek philosophers to the age of reason Aristotle: logical inference; knowledge from experience rule-based knowledge Plato: What is knowledge? concepts are innate rationalism: Plato, Descartes, Leibniz: knowledge can be gained by thinking and reasoning empirism: Aristotle, Locke, Hume: learning be experience Kant: combination of rationalism and empirism Further reading: http://plato.stanford.edu/entries/rationalismempiricism/ Typeset by FoilTEX 6

Philosophy monism vs. dualism The brain - mind problem reductionism emergentism functionalism downward causation Typeset by FoilTEX 7

Philosophy Monism: is the theory that there is only one fundamental kind, category of thing or principle. Dualism: is the theory that the mental and the physical or mind and body or mind and brain are, in some sense, radically different kinds of thing. (Interactionist dualism from Descartes to Popper and Eccles) Monism versus dualims Typeset by FoilTEX 8

Philosophy Reductionism Philosophical position: a complex system is nothing else but the sum of its parts Methodological reductionism: a problem (the object of explaining something) is split up into separate parts or aspects and thus reduced to simpler components Epistemological reductionism: higher level phenomena can be explained by processes at a lower level Ontological reductionism: reality is composed of a minimum number of kinds of entities or substances. Typeset by FoilTEX 9

Philosophy Emergentism is a theory concerning the nature of the material world. In contrast to reductionistic materialism, which asserts that only the tiniest components of matter have unique properties, emergentism maintains that along with complexity, and especially with structure and function, go properties that are unique and that are not to be found in the tiniest components of matter. These properties of more complex systems are therefore not reducible to those of their constituent elements, though they could not exist without them. While many of the fundamental properties of matter, such as mass, are held to be merely quantitative and additive, emergent properties are said to be qualitative and novel or nonpredictable. Jaegwon Kim proposes (using the chart on the right) that M1 causes M2 (these are mental events) and P1 causes P2 (these are physical events). P1 realises M1 and P2 realises M2. However M1 does not causally effect P1 (i.e., M1 is a consequent event of P1). If P1 causes P2, and M1 is a result of P1, then M2 is a result of P2. He says that the only alternatives to this problem is to accept dualism (where the mental events are independent of the physical events) or eliminativism (where the mental events do not exist). Typeset by FoilTEX 10

Philosophy Functionalism Functionalism is the doctrine that what makes something a thought, desire, pain (or any other type of mental state) depends not on its internal constitution, but solely on its function, or the role it plays, in the cognitive system of which it is a part. More precisely, functionalist theories take the identity of a mental state to be determined by its causal relations to sensory stimulations, other mental states, and behavior. An illustration of multiple realizability. M stands for mental and P stands for physical. It can be seen that more than one P can instantiate one M, but not vice versa. Causal relations between states are represented by the arrows (M1 goes to M2, etc.) Typeset by FoilTEX 11

Philosophy Downward Causation all processes at the lower level of a hierarchy are restrained by and act in conformity to the laws of the higher level (Donald T. Campbell) specifically: mental agents can influence the neural functioning (Sperry, Szentágothai) There is a feedback from the effect to the cause CYBERNETICS: a great tradition (i.e. a causal chain from emergent mental phenomena downward upon the physiological functions of neural structures) it was suggested that the nervous system can be considered as being open to various kinds of information here would be no valid scientific reason to deny the existence of downward causation, or more precisely, a two-way causal relationship between brain and mind Typeset by FoilTEX 12

Psychology George Miller: The Magical Number Seven, Plus or Minus Two: Some Limits on Our Capacity for Processing Information (1956) From behaviorism to cognitive science Short-term memory could only hold seven plus or minus two chunks of information a chunk is any meaningful unit:digits, words, chess positions, or people s faces The concept of chunking and the limited capacity of short term memory became a basic element of all subsequent theories of memory. Finite capacity of human thinking Information Processing Memory models The cognitive revolution is the name for an intellectual movement in the 1950s that began what are known collectively as the cognitive sciences. It began in the modern context of greater interdisciplinary communication and research. Typeset by FoilTEX 13

Experimental methods and disciplines Levels Neural representation: cells, networks, modules Neural computation versus computational neuroscience Cognitive Neuroscience Neuroscience Typeset by FoilTEX 14

Artificial intelligence Dartmouth Conference the first running AI program, the Logic Theorist (LT): Allen Newell, J.C. Shaw and Herbert Simon (1957) The General Problem Solver (GPS) demonstrated by Newell, Shaw and Simon. 1952-62 first game-playing program, for checkers, to achieve sufficient skill to challenge a world champion:arthur Samuel 1958 LISP language: John McCarthy: 1958 Teddington Conference on the Mechanization of Thought Processes: UK John McCarthy s Programs with Common Sense, Oliver Selfridge s Pandemonium, and Marvin Minsky s Some Methods of Heuristic Programming and Artificial Intelligence. ; 1958 Typeset by FoilTEX 15

Linguistics Noam Chomsky versus behaviorist view of language. Innateness : universal grammer rejected behaviorist assumptions about language as a learned habit proposed instead to explain language comprehension in terms of mental grammars consisting of rules generative grammar: Syntactic Structures 1957...Chomsky argues that the experiences available to language learners are far too sparse to account for their knowledge of their language. To explain language acquisition, we must assume that learners have an innate knowledge of a universal grammar capturing the common deep structure of natural languages. It is important to note that Chomsky s language learners do not know particular propositions describing a universal grammar. They have a set of innate capacities or dispositions which enable and determine their language development. Chomsky gives us a theory of innate learning capacities or structures rather than a theory of innate knowledge.. Typeset by FoilTEX 16

Antrophology Ethnography, but pay attention to how people think Like psychology, but less experimental, more cross cultural Psychologists are also doing crosscultural studies Typeset by FoilTEX 17