Jump to first page Computationalism: The Very Idea David Davenport Bilkent University, Ankara 06533 – Turkey. disclaimer (non-standard!)

Slides:



Advertisements
Similar presentations
Ron Chrisley COGS Department of Informatics University of Sussex
Advertisements

Chapter 11 user support. Issues –different types of support at different times –implementation and presentation both important –all need careful design.
Consistency-Based Diagnosis
Proceedings of the Conference on Intelligent Text Processing and Computational Linguistics (CICLing-2007) Learning for Semantic Parsing Advisor: Hsin-His.
University of Delaware Problem-Based Learning: Getting Started Institute for Transforming Undergraduate Education Courtesy of Hal White.
Knowledge, Mental Models and HCI. Introduction 4 If we want to –predict learning time –identify “typical” errors –relative ease of performance of tasks.
System Analysis - Data Modeling
Designing Help… Mark Johnson Providing Support Issues –different types of support at different times –implementation and presentation both important.
PSY 369: Psycholinguistics Some basic linguistic theory part3.
Outline: Research Methodology: Case Study - what is case study
Lecture 1 Introduction: Linguistic Theory and Theories
Chapter Three Copyright © 2004 John Wiley & Sons, Inc. Problem Definition and the Research Process Copyright © 2004 John Wiley & Sons, Inc. Chapter Three.
Philosophical Foundations Chapter 26. Searle v. Dreyfus argument §Dreyfus argues that computers will never be able to simulate intelligence §Searle, on.
Main Branches of Linguistics
THEORIES OF MIND: AN INTRODUCTION TO COGNITIVE SCIENCE Jay Friedenberg and Gordon Silverman.
Mental Mathematics.
ARTIFICIAL INTELLIGENCE [INTELLIGENT AGENTS PARADIGM] Professor Janis Grundspenkis Riga Technical University Faculty of Computer Science and Information.
WSFCS Elementary Social Studies Revised Bloom’s Taxonomy Alignment & Assessment Module 3 - PT. 1.
Chapter 6: Objections to the Physical Symbol System Hypothesis.
Notes for Chapter 12 Logic Programming The AI War Basic Concepts of Logic Programming Prolog Review questions.
Purpose of study A high-quality computing education equips pupils to use computational thinking and creativity to understand and change the world. Computing.
ITEC224 Database Programming
© 2009 McGraw-Hill Higher Education. All rights reserved. C H A P T E R 9 Complex Cognitive Processes.
Author: James Allen, Nathanael Chambers, etc. By: Rex, Linger, Xiaoyi Nov. 23, 2009.
Process Skill use a variety of both primary and secondary valid sources to acquire information and to analyze and answer historical questions.[USH.29A]
Learning Progressions: A Discussion Ravit Golan Duncan Rutgers University Ravit Golan Duncan Rutgers University.
Introduction Algorithms and Conventions The design and analysis of algorithms is the core subject matter of Computer Science. Given a problem, we want.
Putting Research to Work in K-8 Science Classrooms Ready, Set, SCIENCE.
SEMANTIC ANALYSIS WAES3303
LEVEL 3 I can identify differences and similarities or changes in different scientific ideas. I can suggest solutions to problems and build models to.
Long Essay Tips. First of all, it’s not that long. You pick one of two choices. 35 minutes. 15% of the score. 5 paragraphs is ok.
The Two (Computational) Faces of AI David Davenport Computer Engineering Dept., Bilkent University Ankara – TURKEY PT-AI.
Universal Grammar Noam Chomsky.
PROBLEM AREAS IN MATHEMATICS EDUCATION By C.K. Chamasese.
Learning Styles and the Classroom 指導教授 : 陳明溥 博士 研 究 生 : 王麗君 More, A. J. (1993). Learning Styles and the Classroom. British Columbia Univ., Vancouver.,
44220: Database Design & Implementation Modelling the ‘Real’ World Ian Perry Room: C41C Ext.: 7287
The Reality of Logic David Davenport Computer Eng. Dept., Bilkent University, Ankara Turkey.
Chapter 3 Culture and Language. Chapter Outline  Humanity and Language  Five Properties of Language  How Language Works  Language and Culture  Social.
LDK R Logics for Data and Knowledge Representation PL of Classes.
Teaching Reading Comprehension
Introduction to Neural Networks and Example Applications in HCI Nick Gentile.
Programming Languages and Design Lecture 3 Semantic Specifications of Programming Languages Instructor: Li Ma Department of Computer Science Texas Southern.
Logical Agents Chapter 7. Outline Knowledge-based agents Logic in general Propositional (Boolean) logic Equivalence, validity, satisfiability.
Learning to Share Meaning in a Multi-Agent System (Part I) Ganesh Padmanabhan.
A Mediated Approach towards Web Service Choreography Michael Stollberg, Dumitru Roman, Juan Miguel Gomez DERI – Digital Enterprise Research Institute
From Mind to Brain Machine The Architecture of Cognition David Davenport Computer Eng. Dept., Bilkent University, Ankara – Turkey.
What is the Skills framework?
LEARNING DISABILITIES IMPACTING MATHEMATICS Ann Morrison, Ph.D.
Yr 7.  Pupils use mathematics as an integral part of classroom activities. They represent their work with objects or pictures and discuss it. They recognise.
RULES Patty Nordstrom Hien Nguyen. "Cognitive Skills are Realized by Production Rules"
Constructivism: The Social Construction of International Politics POL 3080 Approaches to IR.
PIAGET Termed theory genetic epistemology. Asked what would structure of thought need to be to generate formal, scientific view of reality & how would.
How to structure good history writing Always put an introduction which explains what you are going to talk about. Always put a conclusion which summarises.
INTRODUCTION TO COGNITIVE SCIENCE NURSING INFORMATICS CHAPTER 3 1.
#1 Make sense of problems and persevere in solving them How would you describe the problem in your own words? How would you describe what you are trying.
Identification in Econometrics: A Way to Get Causal Information from Observations? Damien Fennell, LSE UCL, May 27, 2005.
Copyright 2006 John Wiley & Sons, Inc Chapter 5 – Cognitive Engineering HCI: Developing Effective Organizational Information Systems Dov Te’eni Jane Carey.
Understanding Customer Relationships Bob Hogg Senior Examiner Assignment brief December 2013 / March 2014.
Artificial Intelligence Logical Agents Chapter 7.
MATH BY MEAGHAN, ROWEN, ELSIE. CONTENT LIST ▪ INTRODUCTION : Past vs Present ▪ SELECTING APPROPRIATE MATH : Math Standards ▪ RESEARCH ON MATH INSTRUCTION.
Conceptual Change Theory
Knowledge Representation & Logic
MANAGEMENT ACCOUNTING
Situation Awareness through Agent Based
Bell Ringer Explain why you believe scientists have to sometimes use models when conducting an experiment.
Chapter 11 user support.
The influence of social and cultural factors on memory
Unit 1 Vocabulary Science Skills.
Information Retrieval
Representations & Reasoning Systems (RRS) (2.2)
Presentation transcript:

Jump to first page Computationalism: The Very Idea David Davenport Bilkent University, Ankara – Turkey. disclaimer (non-standard!)

Jump to first page Introduction n Wealth of detail n lacks solid foundations n Understand the “big-picture” n organising principle - vocabulary COMPUTATIONALISMCOMPUTATIONALISM 101

Jump to first page Outline n Introduction n What is Computation? n What is Cognition? n Is Computationalism correct? n Issues u Meaning u Symbols & Rules u Representation u Timing n Concluding Remarks

Jump to first page Models… n Physical Replicas u Answer questions u Make predictions u Implementation independent u Observer-relative u Cost, time, difficulty of production

Jump to first page Models… n Abstract {computational} n Answer questions, make predictions! n Map questions to answers n All equivalent a=f(q) a=r(s(s(t(q)))) a=u(v(q)) g=t(q) for 2 times h=s(g) g=h a=r(h)

Jump to first page Implementation n Map states & seq. u Find existing system u Construct one anew u Use digital computer n Rely on causation n Program/algorithm/computation is u abstract spec. of causal system.

Jump to first page What is Computation? n Models… u Answer questions, make predictions! u Physical/abstract {computational} n Computational Model u Is a function! {questions to answers} u Equivalent views… n Implementation u Find existing system u Construct one anew {use computer} u Rely on causation n Program/algorithm/computation u abstract spec. of causal system.

Jump to first page What is Computation? n Answer questions, make predictions! n A function! Abstract, but physical implementation. n Program/algorithm/computation u abstract spec. of causal system.

Jump to first page Computation… Target system Implementation Abstraction

Jump to first page Putnam’s Argument… n Explain & refute

Jump to first page What is Computation? n About Prediction n Program/algorithm/computation u abstract spec. of causal system. n Concept is not vacuous! n But, it is in the eye of the beholder u Interpretation u State & system!

Jump to first page What is Cognition? n Agents – parts of world n Cognitive Agents use knowledge n Prediction is the key! n Models predict n Choose most appropriate action based on present situation, past experience, knowledge of effects of own actions.

Jump to first page Computationalism n Can cognition be described or simulated by computations? n Different levels! n Assuming physical basis n & occurs elsewhere

Jump to first page Computationalism n Is cognition literally computation? n Computation is part of cognition (the agent’s world model) n The rest, I/O, goals, matching & decision making mechanism? n Semantics? n Subjective aspects…?

Jump to first page Computationalism n Can the notion of computation help explain cognition? n Computation is clearly u Of practical & historic importance! u Related to cognition u Not vacuous! n Does lack semantics, timing & is not embedded, but…

Jump to first page Meaning n Representations acquire it u From other symbols? F Chinese Room Argument F Foreign language dictionary u From causal links to environment? F Symbol Grounding, but… n State has meaning for the agent F If it has predictive value! F May be wrong, unreal, undemonstrated, etc.

Jump to first page Symbols & Rules n Model viewed as formal system n Symbols & rules may be u Innate or Learnt u Primitive symbols F Disjunctions/Conjunctions u Internal or External n Rules – logical mechanism!

Jump to first page Representation n Symbolic, Connectionist, Dynamicist? n Functional accounts of Cognition & computation n Organisation/Implementation issue.

Jump to first page Timing n Too quick n Too slow n Unstable! Maybe time is sequence!

Jump to first page Concluding Remarks n Computationalism is right! u Computation, is about prediction u Cognition, demands prediction n Computation - states representational u only to observer n Cognition - states representational u to observer u & for agent itself (i.e. has predictive value.)

Jump to first page Physical Systems Cognitive Actually Computing Systems Potentially Computational Systems Classes of Systems

Jump to first page