Chapter 1. Introduction in Creating Brain-like intelligence, Sendhoff et al. Course: Robots Learning from Humans Bae, Eun-bit Otology Laboratory Seoul.

Slides:



Advertisements
Similar presentations
Approaches, Tools, and Applications Islam A. El-Shaarawy Shoubra Faculty of Eng.
Advertisements

Chapter Thirteen Conclusion: Where We Go From Here.
Becerra-Fernandez, et al. -- Knowledge Management 1/e -- © 2004 Prentice Hall Chapter 7 Technologies to Manage Knowledge: Artificial Intelligence.
An Introduction to Artificial Intelligence Presented by : M. Eftekhari.
An Introduction to Artificial Intelligence. Introduction Getting machines to “think”. Imitation game and the Turing test. Chinese room test. Key processes.
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.
AI in Computer Games - functional as fictional Mikkel Holm Sørensen Ph.D. Student ITU.
The Brain is Embodied and the Body is Embedded in the Environment Jeff Krichmar Department of Cognitive Sciences University of California, Irvine.
CS 1 – Introduction to Computer Science Introduction to the wonderful world of Dr. T Dr. Daniel Tauritz.
CS 1 – Introduction to Computer Science Introduction to the wonderful world of Dr. T Dr. Daniel Tauritz.
Intelligent Systems Group Emmanuel Fernandez Larry Mazlack Ali Minai (coordinator) Carla Purdy William Wee.
CS 1 – Introduction to Computer Science Introduction to the wonderful world of Dr. T Dr. Daniel Tauritz.
CS 1 – Introduction to Computer Science Introduction to the wonderful world of Dr. T Dr. Daniel Tauritz.
Biointelligence Laboratory School of Computer Science and Engineering Seoul National University Cognitive Robots © 2014, SNU CSE Biointelligence Lab.,
Introduction Lecture 1 Intro to ALS  These lecture notes accompany the book on ALS  They can be used with the book and the software for courses on.
THEORIES OF MIND: AN INTRODUCTION TO COGNITIVE SCIENCE Jay Friedenberg and Gordon Silverman.
Please have your volume turned up. You do not need to hit any buttons as this presentation will progress on its own and as intended.
Artificial Intelligence By Ryan Shoultes & Jeremy Creighton.
Artificial Intelligence Do we stand in the way? Brandon Bushong April 21, 2006.
Evolutionary Robotics and Interdisciplinary Enactivism CNRS Summer School: Constructivism and Enaction: A new paradigm for Cognitive Science Ile d’Oleron,
TECHNOLOGY GUIDE FOUR Intelligent Systems.
Chapter 4 by Kathleen Mastrian and Dee McGonigle
Artificial Intelligence
If the human brain were so simple that we could understand it, we would be so simple that we couldn't. —Emerson M. Pugh.
10/6/2015 1Intelligent Systems and Soft Computing Lecture 0 What is Soft Computing.
Com3240 Adaptive Intelligence Epigenetic Robotics Amanda Sharkey Reinforcement Learning Eleni Vasilaki.
Towards Cognitive Robotics Biointelligence Laboratory School of Computer Science and Engineering Seoul National University Christian.
Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved. Decision Support Systems Chapter 10.
Chapter 1. Introduction in Creating Brain-Like Intelligence, Sendhoff et al. Course: Robots Learning from Humans Jo, HwiYeol Biointelligence Laboratory.
Overview of Part I, CMSC5707 Advanced Topics in Artificial Intelligence KH Wong (6 weeks) Audio signal processing – Signals in time & frequency domains.
Chapter 16. Basal Ganglia Models for Autonomous Behavior Learning in Creating Brain-Like Intelligence, Sendhoff et al. Course: Robots Learning from Humans.
1 CS 2710, ISSP 2610 Foundations of Artificial Intelligence introduction.
CS621 : Artificial Intelligence Pushpak Bhattacharyya CSE Dept., IIT Bombay Lecture 1 - Introduction.
WEEK INTRODUCTION IT440 ARTIFICIAL INTELLIGENCE.
Intelligent System Ming-Feng Yeh Department of Electrical Engineering Lunghwa University of Science and Technology Website:
SIMULATIONS, REALIZATIONS, AND THEORIES OF LIFE H. H. PATTEE (1989) By Hyojung Seo Dept. of Psychology.
Artificial Intelligence, Expert Systems, and Neural Networks Group 10 Cameron Kinard Leaundre Zeno Heath Carley Megan Wiedmaier.
Chapter 4. Formal Tools for the Analysis of Brain-Like Structures and Dynamics (1/2) in Creating Brain-Like Intelligence, Sendhoff et al. Course: Robots.
University of Kurdistan Artificial Intelligence Methods (AIM) Lecturer: Kaveh Mollazade, Ph.D. Department of Biosystems Engineering, Faculty of Agriculture,
Chapter 2. From Complex Networks to Intelligent Systems in Creating Brain-like Systems, Sendhoff et al. Course: Robots Learning from Humans Baek, Da Som.
Introduction to Artificial Intelligence CS 438 Spring 2008.
Chapter 1: Introduction to Neuro-Fuzzy (NF) and Soft Computing (SC)
Chapter 3. Stochastic Dynamics in the Brain and Probabilistic Decision-Making in Creating Brain-Like Intelligence, Sendhoff et al. Course: Robots Learning.
Chapter 12. Some Requirements for Human-Like Robots in Creating Brain-Like Intelligence, Aaron Solman. Course: Robots Learning from Humans Hur, Woo-Sol.
Chapter 2. From Complex Networks to Intelligent Systems in Creating Brain-Like Intelligence, Olaf Sporns Course: Robots Learning from Humans Park, John.
Chapter 14. Active Vision for Goal-Oriented Humanoid Robot Walking (2/2) in Creating Brain-Like Intelligence, Sendhoff et al. Course: Robots Learning from.
1 ARTIFICIAL INTELLIGENCE Gilles BÉZARD Version 3.16.
Chapter 15. Cognitive Adequacy in Brain- Like Intelligence in Brain-Like Intelligence, Sendhoff et al. Course: Robots Learning from Humans Cinarel, Ceyda.
Chapter 4. Analysis of Brain-Like Structures and Dynamics (2/2) Creating Brain-Like Intelligence, Sendhoff et al. Course: Robots Learning from Humans 09/25.
제 9 주. 응용 -4: Robotics Synthesis of Autonomous Robots through Evolution S. Nolfi and D. Floreano, Trends in Cognitive Science, vol. 6, no. 1, pp. 31~37,
TECHNOLOGY GUIDE FOUR Intelligent Systems. TECHNOLOGY GUIDE OUTLINE TG4.1 Introduction to Intelligent Systems TG4.2 Expert Systems TG4.3 Neural Networks.
CHAPTER ELEVEN MANAGING KNOWLEGE. Objectives We have been through some of this already Role of knowledge management Types of knowledge management systems.
CS 1010– Introduction to Computer Science Daniel Tauritz, Ph.D. Associate Professor of Computer Science Director, Natural Computation Laboratory Academic.
Chapter 9. The PlayMate System ( 2/2 ) in Cognitive Systems Monographs. Rüdiger Dillmann et al. Course: Robots Learning from Humans Summarized by Nan Changjun.
Sub-fields of computer science. Sub-fields of computer science.
Artificial Intelligence (CS 370D)
Sistem Kecerdasan Buatan
TECHNOLOGY GUIDE FOUR Intelligent Systems.
RESEARCH APPROACH.
Artificial Intelligence ppt
Interdisciplinary research on language & speech
Interdisciplinary research on language & speech
First work in AI 1943 The name “Artificial Intelligence” coined 1956
Ch 14. Active Vision for Goal-Oriented Humanoid Robot Walking (1/2) Creating Brain-Like Intelligence, Sendhoff et al. (eds), Robots Learning from.
Artificial Intelligence introduction(2)
Logic for Artificial Intelligence
Psychology in AI Jakub Jura
Principles of Computing – UFCFA3-30-1
CHAPTER I. of EVOLUTIONARY ROBOTICS Stefano Nolfi and Dario Floreano
Institute of Computing Technology
Presentation transcript:

Chapter 1. Introduction in Creating Brain-like intelligence, Sendhoff et al. Course: Robots Learning from Humans Bae, Eun-bit Otology Laboratory Seoul National University Hospital Interdisciplinary program in Neuroscience Seoul National University

Contents What is Brain-Like Intelligence? Role of the Environment Theoretical neuroscience Information Structure & Dynamics Summary 2

What is Brain-Like Intelligence? Artificial intelligence ▪ Classical AI Searching engines, logical reasoning systems Expert system NOT Natural Environments Computational intelligence ▪ Neural networks Suzuki et al. ▪ Evolutionary computation Elfwing et al. ▪ Fuzzy systems Sporns et al.

What is Brain-Like Intelligence? Pragmatic intelligence = Selected intelligence ▪ is required for The expression of behaviours Available under all circumstances Autonomous control of the body Adapts and Learns

Role of the Environment Information of evolution and development Information - Influencing development - Contributing to learning and adaptation - Learning from a systems perspective

Theoretical neuroscience Information theory Entropy Thermodynamics Structure Dynamics

Summary Brain- like Intelligence The result of interaction between control, body and environment Recent years Brain-like Intelligence Autonomous mental development Cognitive architectures Brain based devices

Thank you for listening