subconscious processes, 90 subjective experience, 98 subsystems, 56 supersystem, 56 symbol grounding problem, 33 symbolic thought, 83 symbols, 27, 28,

Size: px
Start display at page:

Download "subconscious processes, 90 subjective experience, 98 subsystems, 56 supersystem, 56 symbol grounding problem, 33 symbolic thought, 83 symbols, 27, 28,"

Transcription

1 group think, 112 hard problem of consciousness, 98 hebbian learning, 37 heuristics, 21 hill-climbing, 23 homunculus, 9 implicit learning., 90 individual differences, 103 induction, 13 inference, 29 information processing, 16 inheritance, 18 input, 55 intelligence, 4, 103, 59 interaction between intelligence and motivation, 108 interiorization of symbols, 86 internal state, 70 knowledge acquisition bottleneck, 32 knowledge acquisition, 4 knowledge representation, 28 knowledge, 4, 21, 59 learning, 36 limitations on collective intelligence, 112 living systems, 56 logical empiricism, 12 long-term memory, 17 meaning, 85 meme, 113 memory, 16 naive realism., 7 naive view of cognition, 5 neural network, 35 neural propagation depth, 106 nodes, 35 output, 16, 56 parallel coupling, 56 perception, 58 perturbations, 58 phenomenal consciousness, 89, 98 physical symbol hypothesis, 28 polarization, 113 pragmatism, 13 primed, 77, 99 priming, 76 problem space., 21 problem, 58 problems of symbolic AI, 30 problems of the gifted, 109 problem-solving, 19 processing, 16 propagation depth, 106 propagation of activation, 36 prototype, 19 quale, 100 rationalism, 11 reactive agents, 62 recall, 17 recognition, 17 recurrent networks, 39, 77 reflection, 87 reflection-correspondence theory of knowledge, 7 reinforcement learning, 68 representation, 85 search spaces, 21 search, 20 self-awareness, 97 semantic network, 17 sensors, 47 sequential, 56 short term memory, 83 situated and embodied cognition 46 situated cognition, 47 social construction of reality, 45 social constructivism, 45 social network, 116 spreading activation, 36 state-determined systems, 70 stigmergic interaction, 97 stigmergy, 65,

2 subconscious processes, 90 subjective experience, 98 subsystems, 56 supersystem, 56 symbol grounding problem, 33 symbolic thought, 83 symbols, 27, 28, 84 system, 55 threshold, 73 toy world, 27 uncertainty reduction, 60 variety of action:, 59 vicarious selectors, 61 working memory, 17,

3 Bibliography Ashby, W. R. Design for a Brain - The Origin of Adaptive Behaviour. Chapman and Hall, London, Aunger R. (ed.) (2001): Darwinizing Culture: The Status of Memetics as a Science (Oxford University Press) Bechtel, W. et al. Ed. (1999). A Companion to Cognitive Science. Blackwell Companions to Philosophy. Malden, MA: Blackwell Publishers. Berger P. L., T. Luckmann: (1967) The Social Construction of Reality: A Treatise in the Sociology of Knowledge, Anchor. Bickhard MH, L Terveen (1996) Foundational issues in artificial intelligence and cognitive science: impasse and solution, Elsevier Science Publishers. Chabris, C. F. (2006). Cognitive and Neurobiological Mechanisms of the Law of General Intelligence, in: Roberts, M.J. (Ed.). Integrating the mind. Hove, UK: Psychology Chalmers DJ Facing up to the problem of consciousness, Journal of Consciousness Studies, 1995 Changeux, Jean-Pierre Neuronal man: the biology of mind. New York: Oxford University Chomsky, Noam (1965). Aspects of the Theory of Syntax. The MIT Churchland, Patricia Smith (1986). Neurophilosophy: Toward a Unified Science of the Mind-Brain. The MIT Clark A. and Chalmers D. (1998): "The Extended Mind," Analysis 58, p Clark, Andy (1997) Being There: Putting the Brain, Body and World Together Again (MITP, Cambridge, MA). Damasio, Antonio R (1994). Descartes' error: emotion, reason and the human brain. London: Papermac [First published by New York: Grosset/Putnam]. Damasio, Antonio R The feeling of what happens: body and emotion in the making of consciousness. New York: Harcourt Brace & Company. Deikman, A.J. (1966): Deautomatization and mystic experience. Psychiatry 29 : pp Deikman, A.J. (2000): A Functional Approach to Mysticism, Journal of Consciousness Studies 7, nr , p Dennett, Daniel C. (1981). Brainstorms: Philosophical Essays on Mind and Psychology. The MIT Dickens, W.T. and Flynn, J.R. (2001) Heritability estimates versus large environmental effects: The IQ paradox resolved, Psychological Review 108, pp Fauconnier, Gilles; and Turner, Mark The way we think: conceptual blending and the mind's hidden complexities. New York: Basic Books. Flynn J.R.: Massive IQ gains in 14 nations, Psychological Bulletin 101:2, (1987). Fodor, Jerry A. (1983). The Modularity of Mind. The MIT Gazzaniga (ed.), Michael S. (2004). The Cognitive Neurosciences III. The MIT Gibson, J.J. (1986). The Ecological Approach to Visual Perception. Hillsdale (NJ): Lawrence Erlbaum. Glimcher, Paul W. (2003). Decision, Uncertainty, and the Brain. The MIT Haugeland, John. (1985). Artificial Intelligence: The Very Idea. Cambridge, MA: Bradford Books, MIT Hawkins, J. (2004) On intelligence (Times books)

4 Hutchins E (1995): Cognition in the Wild (MIT Press). Jensen, A. R. (1998). The g factor: The science of mental ability, (Praeger, Westport, Connecticut) Kelso. J. A. Scott (1995) Dynamic Patterns: The Self-organization of Brain and Behavior (MIT Press; Cambridge, MA). Lakoff, George and Nuñez, Rafael. (2001). Where Mathematics Comes From: How the Embodied Mind Brings Mathematics into Being. New York: Basic Books Lakoff, George; and Johnson, Mark Philosophy in the flesh: the embodied mind and its challenge to western thought. New York: Basic Books. Lévy P. (1997): Collective Intelligence, Plenum. Janis, I. L. (1972) Victims of groupthink. (Boston: Houghton Mifflin). Luger, G. (1994). Cognitive science: the science of intelligent systems. San Diego: Academic McCrone J. (1999). Going Inside: A Tour Round a Single Moment of Consciousness. Faber and Faber. McLeod, P., Plunkett, K. & Rolls, E. T. (1998). Introduction to connectionist modeling of cognitive processes. Oxford, UK: Oxford University Minsky, Marvin L.; Seymour A. Papert (1969). Perceptrons: An Introduction to Computational Geometry. Neisser U. (1976): Cognition and Reality, San Francisco: Freeman. Neisser, U. Boodoo, G., Bouchard, T.J., Boykin, A.W., Brody, N., Ceci, S.J., Halpern, D.F., Loehlin, J.C., Perloff, R., Sternberg, R.J., & Urbina, S. (1996). Intelligence: Knowns and unknowns. American Psychologist, 51, Newell A., HA Simon (1972). Human problem solving. Prentice-Hall Englewood Cliffs NJ Newell, A Unified Theories of Cognition. Cambridge, Massachusetts: Harvard University Noe, Alva (2005). Action in Perception. The MIT O Regan JK, A Noe (2001) A sensorimotor account of vision and visual consciousness, Behavioral and Brain Sciences 24, Ochse, R (1990). Before the Gates of Excellence: The Determinants of Creative Genius, Cambridge University Press Port, Robert and Tim van Gelder (1995) Mind as Motion: Explorations in the Dynamics of Cognition. (MIT Press, Cambridge, MA.). Putnam, Hilary (1988). Representation and Reality. The MIT Pylyshyn, Zenon. (1986) Computation and Cognition: Toward a Foundation for Cognitive Science. Reber A.S. (1993) Implicit learning and tacit knowledge, Oxford University Press Rumelhart, David E.; James L. McClelland and the PDP Research Group (1987). Parallel Distributed Processing: Explorations in the Microstructure of Cognition. The MIT Ryle, Gilbert [1949] (1984). The Concept of Mind. Chicago: University of Chicago Press Searle JR 1980 Minds, brains, and programs, Behavioral and Brain Sciences, Searle, John (1992). The Rediscovery of the Mind. The MIT Simon, Herbert A. (1970). The Sciences of the Artificial. The MIT Steels L. & Brooks R. (eds.) (1995): The Artificial Life Route to Artificial Intelligence: Building Embodied Situated Agents (Erlbaum ). Susi, T. & Ziemke, T. (2001). Social Cognition, Artefacts, and Stigmergy: A Comparative Analysis of Theoretical Frameworks for the Understanding of Artefact-mediated Collaborative Activity. Cognitive Systems Research, 2(4), Thagard P. (2005) Mind, Introduction to Cognitive Science. (2nd edition) (Bradford Books) Thelen, Esther and Linda Smith (1994) A Dynamical Systems Approach to the Development of Cognition and Action (MITPress; Cambridge MA)

5 Varela, F.; Thompson, E. & Rosch, E. (1991). The Embodied Mind. Cambridge, MA: MIT Wilson, Robert A.; Frank C. Keil (eds.) (2001). The MIT Encyclopedia of the Cognitive Sciences (MITECS). The MIT

AI Principles, Semester 2, Week 1, Lecture 2, Cognitive Science and AI Applications. The Computational and Representational Understanding of Mind

AI Principles, Semester 2, Week 1, Lecture 2, Cognitive Science and AI Applications. The Computational and Representational Understanding of Mind AI Principles, Semester 2, Week 1, Lecture 2, Cognitive Science and AI Applications How simulations can act as scientific theories The Computational and Representational Understanding of Mind Boundaries

More information

Cybernetics, AI, Cognitive Science and Computational Neuroscience: Historical Aspects

Cybernetics, AI, Cognitive Science and Computational Neuroscience: Historical Aspects Cybernetics, AI, Cognitive Science and Computational Neuroscience: Historical Aspects Péter Érdi perdi@kzoo.edu Henry R. Luce Professor Center for Complex Systems Studies Kalamazoo College http://people.kzoo.edu/

More information

Bibliography. Great Britain

Bibliography. Great Britain Bibliography 1. Anthony, O'Hear, 2. Armstrong. D.M., 3. Armstrong, D.M., 4. Anderson Alan Ross (ed.). Current Issues in Philosophy of Mind, Cambridge University Press. Cambridge. 1998. A Materialists Theory

More information

CSCE 315: Programming Studio

CSCE 315: Programming Studio CSCE 315: Programming Studio Introduction to Artificial Intelligence Textbook Definitions Thinking like humans What is Intelligence Acting like humans Thinking rationally Acting rationally However, it

More information

Enigma Machine ENIAC Braintenberg Vehicles Ghengis

Enigma Machine ENIAC Braintenberg Vehicles Ghengis 2 Enigma Machine ENIAC Braintenberg Vehicles Ghengis Enigma Machine: German cipher machine. The picture shows a 3 rotor model, http://www.chss.montclair.edu/~pererat/mcpu.htm. ENIAC: Electrical Numerical

More information

An Axiomatic Approach to the Study of Mind

An Axiomatic Approach to the Study of Mind An Axiomatic Approach to the Study of Mind Petros A. M. Gelepithis Director, Cognitive Science Laboratory, Kingston University, KT1 2EE, England. E-mail: Petros@kingston.ac.uk Abstract Cognitive Science

More information

Artificial Intelligence: Your Phone Is Smart, but Can It Think?

Artificial Intelligence: Your Phone Is Smart, but Can It Think? Artificial Intelligence: Your Phone Is Smart, but Can It Think? Mark Maloof Department of Computer Science Georgetown University Washington, DC 20057-1232 http://www.cs.georgetown.edu/~maloof Prelude 18

More information

Is Artificial Intelligence an empirical or a priori science?

Is Artificial Intelligence an empirical or a priori science? Is Artificial Intelligence an empirical or a priori science? Abstract This essay concerns the nature of Artificial Intelligence. In 1976 Allen Newell and Herbert A. Simon proposed that philosophy is empirical

More information

CSIS 4463: Artificial Intelligence. Introduction: Chapter 1

CSIS 4463: Artificial Intelligence. Introduction: Chapter 1 CSIS 4463: Artificial Intelligence Introduction: Chapter 1 What is AI? Strong AI: Can machines really think? The notion that the human mind is nothing more than a computational device, and thus in principle

More information

Intro to Artificial Intelligence Lecture 1. Ahmed Sallam { }

Intro to Artificial Intelligence Lecture 1. Ahmed Sallam {   } Intro to Artificial Intelligence Lecture 1 Ahmed Sallam { http://sallam.cf } Purpose of this course Understand AI Basics Excite you about this field Definitions of AI Thinking Rationally Acting Humanly

More information

Emergent Nature of Cognition

Emergent Nature of Cognition 1 Emergent Nature of Cognition Cognition as a Generative, Redundant and Open System without Central Controls HIROAKI Suzuki Department of Education, Aoyama Gakuin University susan@ri.aoyama.ac.jp, http://www.ri.aoyama.ac.jp/~susan/

More information

Artificial Intelligence. What is AI?

Artificial Intelligence. What is AI? 2 Artificial Intelligence What is AI? Some Definitions of AI The scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines American Association

More information

Incorporating a Connectionist Vision Module into a Fuzzy, Behavior-Based Robot Controller

Incorporating a Connectionist Vision Module into a Fuzzy, Behavior-Based Robot Controller From:MAICS-97 Proceedings. Copyright 1997, AAAI (www.aaai.org). All rights reserved. Incorporating a Connectionist Vision Module into a Fuzzy, Behavior-Based Robot Controller Douglas S. Blank and J. Oliver

More information

Ar#ficial)Intelligence!!

Ar#ficial)Intelligence!! Ar#ficial)Intelligence!! Ar#ficial) intelligence) is) the) science) of) making) machines) do) things) that) would) require) intelligence)if)done)by)men.) Marvin)Minsky,)1967) Roman Barták Department of

More information

CMSC 372 Artificial Intelligence. Fall Administrivia

CMSC 372 Artificial Intelligence. Fall Administrivia CMSC 372 Artificial Intelligence Fall 2017 Administrivia Instructor: Deepak Kumar Lectures: Mon& Wed 10:10a to 11:30a Labs: Fridays 10:10a to 11:30a Pre requisites: CMSC B206 or H106 and CMSC B231 or permission

More information

PHI 202 Philosophy of Mind Autumn

PHI 202 Philosophy of Mind Autumn PHI 202 Philosophy of Mind Autumn 2011-12 Lecturer Kathy Puddifoot k.puddifoot@shef.ac.uk Office Hours My office hours are Wednesday 11-1. You do not have to be having a problem to come to talk to me.

More information

Outline. What is AI? A brief history of AI State of the art

Outline. What is AI? A brief history of AI State of the art Introduction to AI Outline What is AI? A brief history of AI State of the art What is AI? AI is a branch of CS with connections to psychology, linguistics, economics, Goal make artificial systems solve

More information

History and Philosophical Underpinnings

History and Philosophical Underpinnings History and Philosophical Underpinnings Last Class Recap game-theory why normal search won t work minimax algorithm brute-force traversal of game tree for best move alpha-beta pruning how to improve on

More information

2. The theory of Abstract Intelligence

2. The theory of Abstract Intelligence Review Article DOI: 10.2478/s13230-010-0007-z JBR 1(1) 2010 66-72 Abstract intelligence and cognitive robots Yingxu Wang International Center for Cognitive Informatics and Cognitive Computing (ICCICC),

More information

Random Administrivia. In CMC 306 on Monday for LISP lab

Random Administrivia. In CMC 306 on Monday for LISP lab Random Administrivia In CMC 306 on Monday for LISP lab Artificial Intelligence: Introduction What IS artificial intelligence? Examples of intelligent behavior: Definitions of AI There are as many definitions

More information

Artificial Intelligence

Artificial Intelligence Artificial Intelligence (Sistemas Inteligentes) Pedro Cabalar Depto. Computación Universidade da Coruña, SPAIN Chapter 1. Introduction Pedro Cabalar (UDC) ( Depto. AIComputación Universidade da Chapter

More information

Artificial Intelligence: An overview

Artificial Intelligence: An overview Artificial Intelligence: An overview Thomas Trappenberg January 4, 2009 Based on the slides provided by Russell and Norvig, Chapter 1 & 2 What is AI? Systems that think like humans Systems that act like

More information

AI in a New Millennium: Obstacles and Opportunities 1

AI in a New Millennium: Obstacles and Opportunities 1 AI in a New Millennium: Obstacles and Opportunities 1 Aaron Sloman, University of Birmingham, UK http://www.cs.bham.ac.uk/ axs/ AI has always had two overlapping, mutually-supporting strands: science,

More information

Notes for BASIC INFORMATION Cover Sheet

Notes for BASIC INFORMATION Cover Sheet Notes for BASIC INFORMATION Cover Sheet (*) Estimated enrollment for CSE 584 is 10 15. Estimated enrollment for PHI 584 is 10 15. Estimated enrollment for CSE/PHI 484 is 25. Total estimated enrollment

More information

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Introduction Chapter 1 & 26 Why Study AI? One reason to study it is to learn more about ourselves Another reason is that these constructed intelligent entities are interesting and

More information

Artificial Intelligence: An Armchair Philosopher s Perspective

Artificial Intelligence: An Armchair Philosopher s Perspective Artificial Intelligence: An Armchair Philosopher s Perspective Mark Maloof Department of Computer Science Georgetown University Washington, DC 20057-1232 http://www.cs.georgetown.edu/~maloof Philosophy

More information

Goals of this Course. CSE 473 Artificial Intelligence. AI as Science. AI as Engineering. Dieter Fox Colin Zheng

Goals of this Course. CSE 473 Artificial Intelligence. AI as Science. AI as Engineering. Dieter Fox Colin Zheng CSE 473 Artificial Intelligence Dieter Fox Colin Zheng www.cs.washington.edu/education/courses/cse473/08au Goals of this Course To introduce you to a set of key: Paradigms & Techniques Teach you to identify

More information

Intelligent Systems. Lecture 1 - Introduction

Intelligent Systems. Lecture 1 - Introduction Intelligent Systems Lecture 1 - Introduction In which we try to explain why we consider artificial intelligence to be a subject most worthy of study, and in which we try to decide what exactly it is Dr.

More information

How the Body Shapes the Way We Think

How the Body Shapes the Way We Think How the Body Shapes the Way We Think A New View of Intelligence Rolf Pfeifer and Josh Bongard with a contribution by Simon Grand Foreword by Rodney Brooks Illustrations by Shun Iwasawa A Bradford Book

More information

New developments in the philosophy of AI. Vincent C. Müller. Anatolia College/ACT February 2015

New developments in the philosophy of AI. Vincent C. Müller. Anatolia College/ACT   February 2015 Müller, Vincent C. (2016), New developments in the philosophy of AI, in Vincent C. Müller (ed.), Fundamental Issues of Artificial Intelligence (Synthese Library; Berlin: Springer). http://www.sophia.de

More information

Artificial Intelligence: An Introduction

Artificial Intelligence: An Introduction Artificial Intelligence: An Introduction Mark Maloof Department of Computer Science Georgetown University Washington, DC 20057-1232 http://www.cs.georgetown.edu/~maloof August 30, 2017 What is Artificial

More information

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Academic year 2016/2017 Giorgio Fumera http://pralab.diee.unica.it fumera@diee.unica.it Pattern Recognition and Applications Lab Department of Electrical and Electronic Engineering

More information

A. & Wilson, S. W (eds.) From Animals to Animats 5

A. & Wilson, S. W (eds.) From Animals to Animats 5 Tom Ziemke Ziemke, T. (1996b) Towards Autonomous Robot Control via Self-Adapting Recurrent Networks. Artificial Neural Networks - ICANN 96, pp. 611-616. Berlin/ Heidelberg, Germany: Springer Verlag. Ziemke,

More information

Welcome. PSYCHOLOGY 4145, Section 200. Cognitive Psychology. Fall Handouts Student Information Form Syllabus

Welcome. PSYCHOLOGY 4145, Section 200. Cognitive Psychology. Fall Handouts Student Information Form Syllabus Welcome PSYCHOLOGY 4145, Section 200 Fall 2001 Handouts Student Information Form Syllabus NO Laboratory Meetings Until Week of Sept. 10 Page 1 To Do List For This Week Pick up reading assignment, syllabus,

More information

ENTRY ARTIFICIAL INTELLIGENCE

ENTRY ARTIFICIAL INTELLIGENCE ENTRY ARTIFICIAL INTELLIGENCE [ENTRY ARTIFICIAL INTELLIGENCE] Authors: Oliver Knill: March 2000 Literature: Peter Norvig, Paradigns of Artificial Intelligence Programming Daniel Juravsky and James Martin,

More information

THE MECA SAPIENS ARCHITECTURE

THE MECA SAPIENS ARCHITECTURE THE MECA SAPIENS ARCHITECTURE J E Tardy Systems Analyst Sysjet inc. jetardy@sysjet.com The Meca Sapiens Architecture describes how to transform autonomous agents into conscious synthetic entities. It follows

More information

CSC 550: Introduction to Artificial Intelligence. Fall 2004

CSC 550: Introduction to Artificial Intelligence. Fall 2004 CSC 550: Introduction to Artificial Intelligence Fall 2004 See online syllabus at: http://www.creighton.edu/~davereed/csc550 Course goals: survey the field of Artificial Intelligence, including major areas

More information

Artificial Intelligence. Lecture 1: Introduction. Fall 2010

Artificial Intelligence. Lecture 1: Introduction. Fall 2010 15-381 Artificial Intelligence Lecture 1: Introduction Fall 2010 ARTIFICIAL INTELLIGENCE Administration Instructors: Illah Nourbakhsh and Yaser Sheikh TAs: Sam Ganzfried, Benjamin Shih, Wooyoung Lee Course

More information

Master Artificial Intelligence

Master Artificial Intelligence Master Artificial Intelligence Appendix I Teaching outcomes of the degree programme (art. 1.3) 1. The master demonstrates knowledge, understanding and the ability to evaluate, analyze and interpret relevant

More information

Category Theory for Agent-based Modeling & Simulation

Category Theory for Agent-based Modeling & Simulation Category Theory for Agent-based Modeling & Simulation Kenneth A. Lloyd Copyright 2010, Watt Systems Technologies All Rights Reserved Objectives Bring Awareness of Category Theory. General, we can t accomplish

More information

The essential role of. mental models in HCI: Card, Moran and Newell

The essential role of. mental models in HCI: Card, Moran and Newell 1 The essential role of mental models in HCI: Card, Moran and Newell Kate Ehrlich IBM Research, Cambridge MA, USA Introduction In the formative years of HCI in the early1980s, researchers explored the

More information

The Lure of the Measurable in Design Research

The Lure of the Measurable in Design Research INTERNATIONAL DESIGN CONFERENCE - DESIGN 2004 Dubrovnik, May 18-21, 2004. The Lure of the Measurable in Design Research Claudia Eckert, P. John Clarkson and Martin Stacey Keywords: design research methodology,

More information

Artificial Intelligence

Artificial Intelligence Politecnico di Milano Artificial Intelligence Artificial Intelligence What and When Viola Schiaffonati viola.schiaffonati@polimi.it What is artificial intelligence? When has been AI created? Are there

More information

Emergence: Contemporary Readings in Philosophy and Science

Emergence: Contemporary Readings in Philosophy and Science Emergence: Contemporary Readings in Philosophy and Science edited by Mark A. Bedau and Paul Humphreys A Bradford Book The MIT Press Cambridge, Massachusetts London, England ( 2008 Massachusetts Institute

More information

1.1 What is AI? 1.1 What is AI? Foundations of Artificial Intelligence. 1.2 Acting Humanly. 1.3 Thinking Humanly. 1.4 Thinking Rationally

1.1 What is AI? 1.1 What is AI? Foundations of Artificial Intelligence. 1.2 Acting Humanly. 1.3 Thinking Humanly. 1.4 Thinking Rationally Foundations of Artificial Intelligence February 20, 2017 1. Introduction: What is Artificial Intelligence? Foundations of Artificial Intelligence 1. Introduction: What is Artificial Intelligence? Malte

More information

Policy Forum. Science 26 January 2001: Vol no. 5504, pp DOI: /science Prev Table of Contents Next

Policy Forum. Science 26 January 2001: Vol no. 5504, pp DOI: /science Prev Table of Contents Next Science 26 January 2001: Vol. 291. no. 5504, pp. 599-600 DOI: 10.1126/science.291.5504.599 Prev Table of Contents Next Policy Forum ARTIFICIAL INTELLIGENCE: Autonomous Mental Development by Robots and

More information

CS 1571 Introduction to AI Lecture 1. Course overview. CS 1571 Intro to AI. Course administrivia

CS 1571 Introduction to AI Lecture 1. Course overview. CS 1571 Intro to AI. Course administrivia CS 1571 Introduction to AI Lecture 1 Course overview Milos Hauskrecht milos@cs.pitt.edu 5329 Sennott Square Course administrivia Instructor: Milos Hauskrecht 5329 Sennott Square milos@cs.pitt.edu TA: Swapna

More information

MITECS: Chess, Psychology of

MITECS: Chess, Psychology of Page 1 of 5 Historically, chess has been one of the leading fields in the study of EXPERTISE (see De Groot and Gobet 1996 and Holding 1985 for reviews). This popularity as a research domain is explained

More information

Course Info. CS 486/686 Artificial Intelligence. Outline. Artificial Intelligence (AI)

Course Info. CS 486/686 Artificial Intelligence. Outline. Artificial Intelligence (AI) Course Info CS 486/686 Artificial Intelligence May 2nd, 2006 University of Waterloo cs486/686 Lecture Slides (c) 2006 K. Larson and P. Poupart 1 Instructor: Pascal Poupart Email: cs486@students.cs.uwaterloo.ca

More information

! The architecture of the robot control system! Also maybe some aspects of its body/motors/sensors

! The architecture of the robot control system! Also maybe some aspects of its body/motors/sensors Towards the more concrete end of the Alife spectrum is robotics. Alife -- because it is the attempt to synthesise -- at some level -- 'lifelike behaviour. AI is often associated with a particular style

More information

Bibliography Alien Newell

Bibliography Alien Newell Bibliography Alien Newell Ernst, G. W. & Newell, A. (1967a) GPS and generality. Pittsburgh: Carnegie Institute of Technology Ernst, G. W. & Newell, A. (1967b) Some issues of representation in a general

More information

CSC384 Intro to Artificial Intelligence* *The following slides are based on Fahiem Bacchus course lecture notes.

CSC384 Intro to Artificial Intelligence* *The following slides are based on Fahiem Bacchus course lecture notes. CSC384 Intro to Artificial Intelligence* *The following slides are based on Fahiem Bacchus course lecture notes. Artificial Intelligence A branch of Computer Science. Examines how we can achieve intelligent

More information

Turing s model of the mind

Turing s model of the mind Published in J. Copeland, J. Bowen, M. Sprevak & R. Wilson (Eds.) The Turing Guide: Life, Work, Legacy (2017), Oxford: Oxford University Press mark.sprevak@ed.ac.uk Turing s model of the mind Mark Sprevak

More information

Research on Artificial Intelligence Breakthroughs and Electrical Automation Control in AI Technology

Research on Artificial Intelligence Breakthroughs and Electrical Automation Control in AI Technology Research on Artificial Intelligence Breakthroughs and Electrical Automation Control in AI Technology Chuanwei Zhang a, Weipeng Zhang b School of Mechanical and Electronic Engineering, Shandong University

More information

Lecture 1 What is AI?

Lecture 1 What is AI? Lecture 1 What is AI? CSE 473 Artificial Intelligence Oren Etzioni 1 AI as Science What are the most fundamental scientific questions? 2 Goals of this Course To teach you the main ideas of AI. Give you

More information

22c:145 Artificial Intelligence

22c:145 Artificial Intelligence 22c:145 Artificial Intelligence Fall 2005 Introduction Cesare Tinelli The University of Iowa Copyright 2001-05 Cesare Tinelli and Hantao Zhang. a a These notes are copyrighted material and may not be used

More information

CSE 473 Artificial Intelligence (AI)

CSE 473 Artificial Intelligence (AI) CSE 473 Artificial Intelligence (AI) Rajesh Rao (Instructor) Jennifer Hanson (TA) Evan Herbst (TA) http://www.cs.washington.edu/473 Based on slides by UW CSE AI faculty, Dan Klein, Stuart Russell, Andrew

More information

Artificial Intelligence. An Introductory Course

Artificial Intelligence. An Introductory Course Artificial Intelligence An Introductory Course 1 Outline 1. Introduction 2. Problems and Search 3. Knowledge Representation 4. Advanced Topics - Game Playing - Uncertainty and Imprecision - Planning -

More information

Welcome to CompSci 171 Fall 2010 Introduction to AI.

Welcome to CompSci 171 Fall 2010 Introduction to AI. Welcome to CompSci 171 Fall 2010 Introduction to AI. http://www.ics.uci.edu/~welling/teaching/ics171spring07/ics171fall09.html Instructor: Max Welling, welling@ics.uci.edu Office hours: Wed. 4-5pm in BH

More information

CS:4420 Artificial Intelligence

CS:4420 Artificial Intelligence CS:4420 Artificial Intelligence Spring 2018 Introduction Cesare Tinelli The University of Iowa Copyright 2004 18, Cesare Tinelli and Stuart Russell a a These notes were originally developed by Stuart Russell

More information

Annotated Bibliography: Artificial Intelligence (AI) in Organizing Information By Sara Shupe, Emporia State University, LI 804

Annotated Bibliography: Artificial Intelligence (AI) in Organizing Information By Sara Shupe, Emporia State University, LI 804 Annotated Bibliography: Artificial Intelligence (AI) in Organizing Information By Sara Shupe, Emporia State University, LI 804 Introducing Artificial Intelligence Boden, M.A. (Ed.). (1996). Artificial

More information

COMP9414/ 9814/ 3411: Artificial Intelligence. Overview. UNSW c Alan Blair,

COMP9414/ 9814/ 3411: Artificial Intelligence. Overview. UNSW c Alan Blair, COMP9414/ 9814/ 3411: Artificial Intelligence Overview COMP9414/9814/3411 16s1 Overview 1 Course Web Page(s) http://www.cse.unsw.edu.au/~cs9414 http://www.cse.unsw.edu.au/~cs3411 Lecturer-in-Charge Alan

More information

British Library Cataloguing-in-Publication Data A catalogue record for this book is available from the British Library.

British Library Cataloguing-in-Publication Data A catalogue record for this book is available from the British Library. Published by Pan Stanford Publishing Pte. Ltd. Penthouse Level, Suntec Tower 3 8 Temasek Boulevard Singapore 038988 Email: editorial@panstanford.com Web: www.panstanford.com British Library Cataloguing-in-Publication

More information

Behaviour-Based Control. IAR Lecture 5 Barbara Webb

Behaviour-Based Control. IAR Lecture 5 Barbara Webb Behaviour-Based Control IAR Lecture 5 Barbara Webb Traditional sense-plan-act approach suggests a vertical (serial) task decomposition Sensors Actuators perception modelling planning task execution motor

More information

Introduction to Artificial Intelligence: cs580

Introduction to Artificial Intelligence: cs580 Office: Nguyen Engineering Building 4443 email: zduric@cs.gmu.edu Office Hours: Mon. & Tue. 3:00-4:00pm, or by app. URL: http://www.cs.gmu.edu/ zduric/ Course: http://www.cs.gmu.edu/ zduric/cs580.html

More information

Artificial Neural Networks. Artificial Intelligence Santa Clara, 2016

Artificial Neural Networks. Artificial Intelligence Santa Clara, 2016 Artificial Neural Networks Artificial Intelligence Santa Clara, 2016 Simulate the functioning of the brain Can simulate actual neurons: Computational neuroscience Can introduce simplified neurons: Neural

More information

Toward a Design for Teaching Cognitive Robotics. Matthew D. Tothero Oskars J. Rieksts

Toward a Design for Teaching Cognitive Robotics. Matthew D. Tothero Oskars J. Rieksts Toward a Design for Teaching Cognitive Robotics Matthew D. Tothero Oskars J. Rieksts Criteria Embodied cognition Agent-principal paradigm Clear ontology Clear epistemology Concepts supporting agentprincipal

More information

ECE 599/692 Deep Learning Lecture 19 Beyond BP and CNN

ECE 599/692 Deep Learning Lecture 19 Beyond BP and CNN ECE 599/692 Deep Learning Lecture 19 Beyond BP and CNN Hairong Qi, Gonzalez Family Professor Electrical Engineering and Computer Science University of Tennessee, Knoxville http://www.eecs.utk.edu/faculty/qi

More information

Artificial Intelligence: What it is, and what it should be

Artificial Intelligence: What it is, and what it should be Artificial Intelligence: What it is, and what it should be Pei Wang Department of Computer and Information Sciences, Temple University http://www.cis.temple.edu/ pwang/ pei.wang@temple.edu Abstract What

More information

AI in Business Enterprises

AI in Business Enterprises AI in Business Enterprises Are Humans Rational? Rini Palitmittam 10 th October 2017 Image Courtesy: Google Images Founders of Modern Artificial Intelligence Image Courtesy: Google Images Founders of Modern

More information

Booklet of teaching units

Booklet of teaching units International Master Program in Mechatronic Systems for Rehabilitation Booklet of teaching units Third semester (M2 S1) Master Sciences de l Ingénieur Université Pierre et Marie Curie Paris 6 Boite 164,

More information

AI MAGAZINE AMER ASSOC ARTIFICIAL INTELL UNITED STATES English ANNALS OF MATHEMATICS AND ARTIFICIAL

AI MAGAZINE AMER ASSOC ARTIFICIAL INTELL UNITED STATES English ANNALS OF MATHEMATICS AND ARTIFICIAL Title Publisher ISSN Country Language ACM Transactions on Autonomous and Adaptive Systems ASSOC COMPUTING MACHINERY 1556-4665 UNITED STATES English ACM Transactions on Intelligent Systems and Technology

More information

A Conceptual Modeling Method to Use Agents in Systems Analysis

A Conceptual Modeling Method to Use Agents in Systems Analysis A Conceptual Modeling Method to Use Agents in Systems Analysis Kafui Monu University of British Columbia, Sauder School of Business, 2053 Main Mall, Vancouver BC, Canada {Kafui Monu kafui.monu@sauder.ubc.ca}

More information

Main Textbook Curd, M. and Cover, J.A. (eds.) (1998) Philosophy of Science: The Central Issues, New York: W.V. Norton & Company.

Main Textbook Curd, M. and Cover, J.A. (eds.) (1998) Philosophy of Science: The Central Issues, New York: W.V. Norton & Company. SCIENTIFIC REALISM Time and Place: Tuesdays 16:15-17:45, 23.21/U1.83 Instructor: Dr. Ioannis Votsis E-mail: votsis@phil-fak.uni-duesseldorf.de Office hours (Room Geb. 23.21/04.86): Wednesdays 11:00-12:00

More information

The attribution problem in Cognitive Science. Thinking Meat?! Formal Systems. Formal Systems have a history

The attribution problem in Cognitive Science. Thinking Meat?! Formal Systems. Formal Systems have a history The attribution problem in Cognitive Science Thinking Meat?! How can we get Reason-respecting behavior out of a lump of flesh? We can t see the processes we care the most about, so we must infer them from

More information

A Conceptual Modeling Method to Use Agents in Systems Analysis

A Conceptual Modeling Method to Use Agents in Systems Analysis A Conceptual Modeling Method to Use Agents in Systems Analysis Kafui Monu 1 1 University of British Columbia, Sauder School of Business, 2053 Main Mall, Vancouver BC, Canada {Kafui Monu kafui.monu@sauder.ubc.ca}

More information

Lecture 1 Introduction to AI

Lecture 1 Introduction to AI Lecture 1 Introduction to AI Kristóf Karacs PPKE-ITK Questions? What is intelligence? What makes it artificial? What can we use it for? How does it work? How to create it? How to control / repair / improve

More information

10/4/10. An overview using Alan Turing s Forgotten Ideas in Computer Science as well as sources listed on last slide.

10/4/10. An overview using Alan Turing s Forgotten Ideas in Computer Science as well as sources listed on last slide. Well known for the machine, test and thesis that bear his name, the British genius also anticipated neural- network computers and hyper- computation. An overview using Alan Turing s Forgotten Ideas in

More information

Installing a Studio-Based Collective Intelligence Mark Cabrinha California Polytechnic State University, San Luis Obispo

Installing a Studio-Based Collective Intelligence Mark Cabrinha California Polytechnic State University, San Luis Obispo Installing a Studio-Based Collective Intelligence Mark Cabrinha California Polytechnic State University, San Luis Obispo Abstract Digital tools have had an undeniable influence on design intent, for better

More information

CS 486/686 Artificial Intelligence

CS 486/686 Artificial Intelligence CS 486/686 Artificial Intelligence Sept 15th, 2009 University of Waterloo cs486/686 Lecture Slides (c) 2009 K. Larson and P. Poupart 1 Course Info Instructor: Pascal Poupart Email: ppoupart@cs.uwaterloo.ca

More information

Rethinking Grounding

Rethinking Grounding Rethinking Grounding Tom Ziemke Department of Computer Science, University of Skövde Box 408, 54128 Skövde, Sweden Email: tom@ida.his.se Abstract The grounding problem is, generally speaking, the problem

More information

Dipartimento di Elettronica Informazione e Bioingegneria Robotics

Dipartimento di Elettronica Informazione e Bioingegneria Robotics Dipartimento di Elettronica Informazione e Bioingegneria Robotics Behavioral robotics @ 2014 Behaviorism behave is what organisms do Behaviorism is built on this assumption, and its goal is to promote

More information

22c:145 Artificial Intelligence. Texbook. Bartlett Publishers, Check the class web sites daily! https://piazza.com/class#spring2013/22c145

22c:145 Artificial Intelligence. Texbook. Bartlett Publishers, Check the class web sites daily! https://piazza.com/class#spring2013/22c145 22c:145 Artificial Intelligence Hantao Zhang http://www.cs.uiowa.edu/ hzhang/c145 The University of Iowa Department of Computer Science Artificial Intelligence p.1/25 Texbook Contemporary Artificial Intelligence

More information

Artificial Intelligence

Artificial Intelligence Torralba and Wahlster Artificial Intelligence Chapter 1: Introduction 1/22 Artificial Intelligence 1. Introduction What is AI, Anyway? Álvaro Torralba Wolfgang Wahlster Summer Term 2018 Thanks to Prof.

More information

Introduction to Humans in HCI

Introduction to Humans in HCI Introduction to Humans in HCI Mary Czerwinski Microsoft Research 9/18/2001 We are fortunate to be alive at a time when research and invention in the computing domain flourishes, and many industrial, government

More information

Appendices master s degree programme Human Machine Communication

Appendices master s degree programme Human Machine Communication Appendices master s degree programme Human Machine Communication 2015-2016 Appendix I Teaching outcomes of the degree programme (art. 1.3) 1. The master demonstrates knowledge, understanding and the ability

More information

Appendices master s degree programme Artificial Intelligence

Appendices master s degree programme Artificial Intelligence Appendices master s degree programme Artificial Intelligence 2015-2016 Appendix I Teaching outcomes of the degree programme (art. 1.3) 1. The master demonstrates knowledge, understanding and the ability

More information

Welcome to CSC384: Intro to Artificial MAN.

Welcome to CSC384: Intro to Artificial MAN. Welcome to CSC384: Intro to Artificial Intelligence!@#!, MAN. CSC384: Intro to Artificial Intelligence Winter 2014 Instructor: Prof. Sheila McIlraith Lectures/Tutorials: Monday 1-2pm WB 116 Wednesday 1-2pm

More information

HUMAN-LEVEL ARTIFICIAL INTELIGENCE & COGNITIVE SCIENCE

HUMAN-LEVEL ARTIFICIAL INTELIGENCE & COGNITIVE SCIENCE HUMAN-LEVEL ARTIFICIAL INTELIGENCE & COGNITIVE SCIENCE Nils J. Nilsson Stanford AI Lab http://ai.stanford.edu/~nilsson Symbolic Systems 100, April 15, 2008 1 OUTLINE Computation and Intelligence Approaches

More information

Introduction to AI. Chapter 1. TB Artificial Intelligence 1/ 23

Introduction to AI. Chapter 1. TB Artificial Intelligence 1/ 23 Introduction to AI Chapter 1 TB Artificial Intelligence 2017 1/ 23 Reference Book Artificial Intelligence: A Modern Approach Stuart Russell and Peter Norvig http://aima.cs.berkeley.edu/ 2 / 23 Some Other

More information

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Chapter 1 Chapter 1 1 Outline What is AI? A brief history The state of the art Chapter 1 2 What is AI? Systems that think like humans Systems that think rationally Systems that

More information

Joining Forces University of Art and Design Helsinki September 22-24, 2005

Joining Forces University of Art and Design Helsinki September 22-24, 2005 APPLIED RESEARCH AND INNOVATION FRAMEWORK Vesna Popovic, Queensland University of Technology, Australia Abstract This paper explores industrial (product) design domain and the artifact s contribution to

More information

Introduction. Artificial Intelligence. Topic 1. What is AI? Contributions to AI History of AI Modern AI. Reading: Russel and Norvig, Chapter 1

Introduction. Artificial Intelligence. Topic 1. What is AI? Contributions to AI History of AI Modern AI. Reading: Russel and Norvig, Chapter 1 Artificial Intelligence Topic 1 Introduction What is AI? Contributions to AI History of AI Modern AI Reading: Russel and Norvig, Chapter 1 c CSSE. Includes material c S. Russell & P. Norvig 1995,2003 with

More information

What is AI? AI is the reproduction of human reasoning and intelligent behavior by computational methods. an attempt of. Intelligent behavior Computer

What is AI? AI is the reproduction of human reasoning and intelligent behavior by computational methods. an attempt of. Intelligent behavior Computer What is AI? an attempt of AI is the reproduction of human reasoning and intelligent behavior by computational methods Intelligent behavior Computer Humans 1 What is AI? (R&N) Discipline that systematizes

More information

Intelligent Agents. Introduction. Ute Schmid Practice: Emanuel Kitzelmann. Cognitive Systems, Applied Computer Science, University of Bamberg

Intelligent Agents. Introduction. Ute Schmid Practice: Emanuel Kitzelmann. Cognitive Systems, Applied Computer Science, University of Bamberg Intelligent Agents Introduction Ute Schmid Practice: Emanuel Kitzelmann Cognitive Systems, Applied Computer Science, University of Bamberg last change: 27. Mai 2010 U. Schmid (CogSys) Intelligent Agents

More information

MINE 432 Industrial Automation and Robotics

MINE 432 Industrial Automation and Robotics MINE 432 Industrial Automation and Robotics Part 3, Lecture 5 Overview of Artificial Neural Networks A. Farzanegan (Visiting Associate Professor) Fall 2014 Norman B. Keevil Institute of Mining Engineering

More information

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Chapter 1 Chapter 1 1 Outline What is AI? A brief history The state of the art Chapter 1 2 What is AI? Systems that think like humans Systems that think rationally Systems that

More information

KI-Programmierung. Introduction

KI-Programmierung. Introduction KI-Programmierung Introduction Bernhard Beckert UNIVERSITÄT KOBLENZ-LANDAU Winter Term 2007/2008 B. Beckert: KI-Programmierung p.1 What is Artificial Intelligence (AI)? [The automation of] activities that

More information

Course Syllabus. Week 1: Philosophy of the Social Sciences and its Subject Matter

Course Syllabus. Week 1: Philosophy of the Social Sciences and its Subject Matter Course Syllabus Course: Philosophy of the Social Sciences Instructor: Dr. Catherine Herfeld Time and place: WS 2013/14, Wednesdays 2-4 pm, R021 Office hours: by appointment Course language: English Course

More information

Artificial Intelligence (AI) Artificial Intelligent definition, vision, reality and consequences. 1. What is AI, definition and use today?

Artificial Intelligence (AI) Artificial Intelligent definition, vision, reality and consequences. 1. What is AI, definition and use today? Artificial Intelligent definition, vision, reality and consequences Peter Funk Department of computer Science Mälardalen University peter.funk@mdh.se Artificial Intelligence (AI) 1. What is AI, definition

More information