Ziemke, Tom. (2003). What s that Thing Called Embodiment?

Size: px
Start display at page:

Download "Ziemke, Tom. (2003). What s that Thing Called Embodiment?"

Transcription

1 Ziemke, Tom. (2003). What s that Thing Called Embodiment? Aleš Oblak MEi: CogSci, 2017

2 Before After Carravagio (1602 CE). San Matteo e l angelo Myron ( BCE). Discobolus

3 Six Views of Embodied Cognition I. Cognition is situated; II. Cognition is time-pressured; III. Cognitive work is off-loaded into the environment IV. The environment is part of the cog. system V. Cognition is for action; VI. Off-line cognition is body-based. Rembrandt, H. R. (1659) Mozes en de tafelen der wet

4 Working definition of embodiment Embodiment: a term used to refer to the fact that intelligence cannot merely exist in the form of an abstract algorithm, but requires a physical instantiation, a body. Pfeifer & Scheier (1999) Kuniyoshi, U. (1838). Saito Oniwakamaru Chase, W. M. (1905). Still Life with Fish

5 I. Embodiment as structural coupling A system X is embodied in an environment E if perturbatory channels exist between the two. That means, X is embodied in E if for every time t at which both X and E exist, some subset of E s possible states with respect to X have the capacity to perturb X s state, and some subset of X s possible states with respect to E have the capacity to perturb E s state. Quick (1999) X E

6 2 E E X E E E Friedrich, C. D. (1824) Das Eismeer

7 II. Historical embodiment Embodied systems are not only coupled with their environments in the present, but we can see a history of agent-environment coupling.

8 Several K years Friedrich, C. D. (1824) Felsenriff am Meeresstrand

9 III. Physical embodiment Embodiment = possessing a physical body - Software NO; - Granite outcrops, glaciers, reefs YES. Village Roadshow Pictures (2003) The Matrix Revolutions Bernini, G. L. (1622) Ratto di Proserpina

10 III.a) Physical grounding The agent is not connected to the environment only by physical forces, but by sensors and motors as well. Sensorimotor embodiment??? Walt Disney Pictures (2008). WALL-E

11 A tangent: Ziemke (1999) Rethinking Grounding The grounding problem is / / the problem of how to causally connect an artificial agent with its environment, such that agent s [behavior], as well as the mechanisms, representations, etc. underlying it, can be intrinsic and meaningful to itself. (ibid.) Agent-environment interaction; Causal connection between the agent and the environment.

12 Tangent continues Two approaches to reaching grounding: I. Cognitivist (disembodied view of the mind); Input systems and central systems; Percept Representation; Atomic representations Complex representations; II. Enactivist (embodiment, action, agent-environment coupling); Physical grounding

13 III.a) Physical grounding Agents are embodied and situated; Situatedness refers to the agents operating here and now, not with abstract representations; Grounded behavior emerges from parallel action of behavioral subsystems, rather than a central processor; The idea of rooting: systems are rooted if they as a whole develop in interaction with their environment; Natural embodiment: physical embodiment + structural coupling + mutual specification between agent and environment;

14 IV. Organismoid embodiment Organism-like cognition requires organism-like bodies; Wilson s IV claim on embodiment: off-line cognition is body-based; Sensorimotor structures. Meaningful conceptual structures arise from two sources: (1) from the structured nature of bodily and social experience and (2) from our innate capacity to imaginatively project from certain well-structured aspects of bodily and interactional experience to abstract conceptual structures. Lakoff (1998)

15 The Khepra robot (Lund, Webb & Hallam, 1998) Witney & Hedwig (2011). Kinematics of phonotactic steering in the walking cricket

16 Cog (Brooks et al, 1998) - Gain intelligence by learning; - Learns by watching; - Socially appropriate behavior; MIT AI Laboratories (1998) Rodney Brooks and Cog

17 V. Organismic embodiment Cognition is not limitted to organism-like bodies, but to organisms, to living bodies. A Varelian view of cognition is that cognition is what living systems do in interaction with their environments.

18 Biology of cognition According to Varela & Maturana (1980) living organisms are autopoietic and autonomous; Man-made machines are heteronomous and allopoietic; Machines according to plans, whereas living organisms are acting plans. Ziemke ( )

19 Entropy According to Kordeš (2004) cognition Allows organisms to minimize their Internal entropy; Free-energy Principle; The purpose of cognition is to Create a stable reality. Friedrich, C. D. (1818) Der Wanderer über dem Nebelmeer

20 Von Uexküll (1928) Behavior of organisms is context-dependent and grows from experience; In his time machines were not able of growth; Machines constructed centripetally; Organisms construct themselves centrifugally;

21 VI. Social embodiment states of the body, such as postures, arm movements, and facial expressions, arise during social interaction and play central roles in social information processing. Barsalou et al (in press) Social stimuli produce both cognitive and bodily states; Creates knowledge required to navigate social situations; Partial simulation of sensory, motor and introspective states.

22 Social embeddedness (Dautenhahn et al, 2001) Socially embedded agents are coupled with their social environment; Coupling = being interaction-aware; E E X Trumbull, J. (1817). Declaration of Independence

23 Social interaction (partial) awareness of social interactions; Not necessarily an explicit representation of social structure (ants); Perceiving and reacting to dynamically-occuring interactive cues; Anthropomorphic or zoomorphic shape; Ability to track, identify, and interpret visual interactive behavior; Continuum of formality; Globally VS locally structured interactions;

24 Summary 1. Structural coupling; 2. Historical embodiment; 3. Physical embodiment Physical groundedness; 4. Organismoid embodiment; 5. Organismic embodiment; 6. Social embodiment social embeddedness

25 Thank you for your attention!

26 Primary sources Dautenhahn, K., Ogden, B., Quick, T. (2001). From embodied to socially embedded agents Implications for interaction-aware robots. Cognitive Systems Researc. 3(1): Kordeš, U. (2004). Od resnice k zaupanju. Studia humanitatis: Ljubljana Ziemke, T. (1999). Rethinking Grounding. Understanding Representation in the Cognitive Sciences. Plenum Press: New York, Ziemke, T. ( ). What s that Thing Called Embodiment. Proc. of the 25th Annual Conf. of the Cog. Sci. Society,

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

A SURVEY OF SOCIALLY INTERACTIVE ROBOTS

A SURVEY OF SOCIALLY INTERACTIVE ROBOTS A SURVEY OF SOCIALLY INTERACTIVE ROBOTS Terrence Fong, Illah Nourbakhsh, Kerstin Dautenhahn Presented By: Mehwish Alam INTRODUCTION History of Social Robots Social Robots Socially Interactive Robots Why

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

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

Introduction to cognitive science Session 3: Cognitivism

Introduction to cognitive science Session 3: Cognitivism Introduction to cognitive science Session 3: Cognitivism Martin Takáč Centre for cognitive science DAI FMFI Comenius University in Bratislava Príprava štúdia matematiky a informatiky na FMFI UK v anglickom

More information

Overview Agents, environments, typical components

Overview Agents, environments, typical components Overview Agents, environments, typical components CSC752 Autonomous Robotic Systems Ubbo Visser Department of Computer Science University of Miami January 23, 2017 Outline 1 Autonomous robots 2 Agents

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

Title: The Chinese Room and the Robot Reply Author: Matthijs Piek Stream: Philosophy of Science and

Title: The Chinese Room and the Robot Reply Author: Matthijs Piek Stream: Philosophy of Science and Abstract: This thesis is concerned with the question whether the robot reply can overcome the Chinese Room argument. The Chinese Room arguments attempt to show that a computer system, executing a program,

More information

Essay on A Survey of Socially Interactive Robots Authors: Terrence Fong, Illah Nourbakhsh, Kerstin Dautenhahn Summarized by: Mehwish Alam

Essay on A Survey of Socially Interactive Robots Authors: Terrence Fong, Illah Nourbakhsh, Kerstin Dautenhahn Summarized by: Mehwish Alam 1 Introduction Essay on A Survey of Socially Interactive Robots Authors: Terrence Fong, Illah Nourbakhsh, Kerstin Dautenhahn Summarized by: Mehwish Alam 1.1 Social Robots: Definition: Social robots are

More information

Plan for the 2nd hour. What is AI. Acting humanly: The Turing test. EDAF70: Applied Artificial Intelligence Agents (Chapter 2 of AIMA)

Plan for the 2nd hour. What is AI. Acting humanly: The Turing test. EDAF70: Applied Artificial Intelligence Agents (Chapter 2 of AIMA) Plan for the 2nd hour EDAF70: Applied Artificial Intelligence (Chapter 2 of AIMA) Jacek Malec Dept. of Computer Science, Lund University, Sweden January 17th, 2018 What is an agent? PEAS (Performance measure,

More information

5a. Reactive Agents. COMP3411: Artificial Intelligence. Outline. History of Reactive Agents. Reactive Agents. History of Reactive Agents

5a. Reactive Agents. COMP3411: Artificial Intelligence. Outline. History of Reactive Agents. Reactive Agents. History of Reactive Agents COMP3411 15s1 Reactive Agents 1 COMP3411: Artificial Intelligence 5a. Reactive Agents Outline History of Reactive Agents Chemotaxis Behavior-Based Robotics COMP3411 15s1 Reactive Agents 2 Reactive Agents

More information

Unit 1: Introduction to Autonomous Robotics

Unit 1: Introduction to Autonomous Robotics Unit 1: Introduction to Autonomous Robotics Computer Science 6912 Andrew Vardy Department of Computer Science Memorial University of Newfoundland May 13, 2016 COMP 6912 (MUN) Course Introduction May 13,

More information

MIN-Fakultät Fachbereich Informatik. Universität Hamburg. Socially interactive robots. Christine Upadek. 29 November Christine Upadek 1

MIN-Fakultät Fachbereich Informatik. Universität Hamburg. Socially interactive robots. Christine Upadek. 29 November Christine Upadek 1 Christine Upadek 29 November 2010 Christine Upadek 1 Outline Emotions Kismet - a sociable robot Outlook Christine Upadek 2 Denition Social robots are embodied agents that are part of a heterogeneous group:

More information

Knowledge Representation and Reasoning

Knowledge Representation and Reasoning Master of Science in Artificial Intelligence, 2012-2014 Knowledge Representation and Reasoning University "Politehnica" of Bucharest Department of Computer Science Fall 2012 Adina Magda Florea The AI Debate

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

Funzionalità per la navigazione di robot mobili. Corso di Robotica Prof. Davide Brugali Università degli Studi di Bergamo

Funzionalità per la navigazione di robot mobili. Corso di Robotica Prof. Davide Brugali Università degli Studi di Bergamo Funzionalità per la navigazione di robot mobili Corso di Robotica Prof. Davide Brugali Università degli Studi di Bergamo Variability of the Robotic Domain UNIBG - Corso di Robotica - Prof. Brugali Tourist

More information

Embodiment: Does a laptop have a body?

Embodiment: Does a laptop have a body? Embodiment: Does a laptop have a body? Pei Wang Temple University, Philadelphia, USA http://www.cis.temple.edu/ pwang/ Abstract This paper analyzes the different understandings of embodiment. It argues

More information

Unit 1: Introduction to Autonomous Robotics

Unit 1: Introduction to Autonomous Robotics Unit 1: Introduction to Autonomous Robotics Computer Science 4766/6778 Department of Computer Science Memorial University of Newfoundland January 16, 2009 COMP 4766/6778 (MUN) Course Introduction January

More information

Cognitive Science: What Is It, and How Can I Study It at RPI?

Cognitive Science: What Is It, and How Can I Study It at RPI? Cognitive Science: What Is It, and How Can I Study It at RPI? What is Cognitive Science? Cognitive Science: Aspects of Cognition Cognitive science is the science of cognition, which includes such things

More information

INTELLIGENT ROBOTS: THE QUESTION OF EMBODIMENT

INTELLIGENT ROBOTS: THE QUESTION OF EMBODIMENT INTELLIGENT ROBOTS: THE QUESTION OF EMBODIMENT Brian R. Duffy, Gina Joue Department of Computer Science, University College Dublin, Ireland Brian.Duffy@ucd.ie, Gina.Joue@ucd.ie http://dead.ucd.ie/welcome.html

More information

ENHANCED HUMAN-AGENT INTERACTION: AUGMENTING INTERACTION MODELS WITH EMBODIED AGENTS BY SERAFIN BENTO. MASTER OF SCIENCE in INFORMATION SYSTEMS

ENHANCED HUMAN-AGENT INTERACTION: AUGMENTING INTERACTION MODELS WITH EMBODIED AGENTS BY SERAFIN BENTO. MASTER OF SCIENCE in INFORMATION SYSTEMS BY SERAFIN BENTO MASTER OF SCIENCE in INFORMATION SYSTEMS Edmonton, Alberta September, 2015 ABSTRACT The popularity of software agents demands for more comprehensive HAI design processes. The outcome of

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

Subsumption Architecture in Swarm Robotics. Cuong Nguyen Viet 16/11/2015

Subsumption Architecture in Swarm Robotics. Cuong Nguyen Viet 16/11/2015 Subsumption Architecture in Swarm Robotics Cuong Nguyen Viet 16/11/2015 1 Table of content Motivation Subsumption Architecture Background Architecture decomposition Implementation Swarm robotics Swarm

More information

Swarm Intelligence W7: Application of Machine- Learning Techniques to Automatic Control Design and Optimization

Swarm Intelligence W7: Application of Machine- Learning Techniques to Automatic Control Design and Optimization Swarm Intelligence W7: Application of Machine- Learning Techniques to Automatic Control Design and Optimization Learning to avoid obstacles Outline Problem encoding using GA and ANN Floreano and Mondada

More information

Autonomy: a review and a reappraisal

Autonomy: a review and a reappraisal Autonomy: a review and a reappraisal Tom Froese, Nathaniel Virgo, Eduardo Izquierdo CSRP 591 June 2007 ISSN 1350-3162 Cognitive Science Research Papers T. Froese, N. Virgo and E. Izquierdo 1 Autonomy:

More information

Introduction to AI. What is Artificial Intelligence?

Introduction to AI. What is Artificial Intelligence? Introduction to AI Instructor: Dr. Wei Ding Fall 2009 1 What is Artificial Intelligence? Views of AI fall into four categories: Thinking Humanly Thinking Rationally Acting Humanly Acting Rationally The

More information

Autonomous Robotic (Cyber) Weapons?

Autonomous Robotic (Cyber) Weapons? Autonomous Robotic (Cyber) Weapons? Giovanni Sartor EUI - European University Institute of Florence CIRSFID - Faculty of law, University of Bologna Rome, November 24, 2013 G. Sartor (EUI-CIRSFID) Autonomous

More information

CPS331 Lecture: Agents and Robots last revised April 27, 2012

CPS331 Lecture: Agents and Robots last revised April 27, 2012 CPS331 Lecture: Agents and Robots last revised April 27, 2012 Objectives: 1. To introduce the basic notion of an agent 2. To discuss various types of agents 3. To introduce the subsumption architecture

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

II. ROBOT SYSTEMS ENGINEERING

II. ROBOT SYSTEMS ENGINEERING Mobile Robots: Successes and Challenges in Artificial Intelligence Jitendra Joshi (Research Scholar), Keshav Dev Gupta (Assistant Professor), Nidhi Sharma (Assistant Professor), Kinnari Jangid (Assistant

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

Cambrian Intelligence: The Early History Of The New AI PDF

Cambrian Intelligence: The Early History Of The New AI PDF Cambrian Intelligence: The Early History Of The New AI PDF Until the mid-1980s, AI researchers assumed that an intelligent system doing high-level reasoning was necessary for the coupling of perception

More information

STRATEGO EXPERT SYSTEM SHELL

STRATEGO EXPERT SYSTEM SHELL STRATEGO EXPERT SYSTEM SHELL Casper Treijtel and Leon Rothkrantz Faculty of Information Technology and Systems Delft University of Technology Mekelweg 4 2628 CD Delft University of Technology E-mail: L.J.M.Rothkrantz@cs.tudelft.nl

More information

Touch Perception and Emotional Appraisal for a Virtual Agent

Touch Perception and Emotional Appraisal for a Virtual Agent Touch Perception and Emotional Appraisal for a Virtual Agent Nhung Nguyen, Ipke Wachsmuth, Stefan Kopp Faculty of Technology University of Bielefeld 33594 Bielefeld Germany {nnguyen, ipke, skopp}@techfak.uni-bielefeld.de

More information

Key-Words: - Fuzzy Behaviour Controls, Multiple Target Tracking, Obstacle Avoidance, Ultrasonic Range Finders

Key-Words: - Fuzzy Behaviour Controls, Multiple Target Tracking, Obstacle Avoidance, Ultrasonic Range Finders Fuzzy Behaviour Based Navigation of a Mobile Robot for Tracking Multiple Targets in an Unstructured Environment NASIR RAHMAN, ALI RAZA JAFRI, M. USMAN KEERIO School of Mechatronics Engineering Beijing

More information

Evolving High-Dimensional, Adaptive Camera-Based Speed Sensors

Evolving High-Dimensional, Adaptive Camera-Based Speed Sensors In: M.H. Hamza (ed.), Proceedings of the 21st IASTED Conference on Applied Informatics, pp. 1278-128. Held February, 1-1, 2, Insbruck, Austria Evolving High-Dimensional, Adaptive Camera-Based Speed Sensors

More information

Intelligent Robotic Systems. What is a Robot? Is This a Robot? Prof. Richard Voyles Department of Computer Engineering University of Denver

Intelligent Robotic Systems. What is a Robot? Is This a Robot? Prof. Richard Voyles Department of Computer Engineering University of Denver Intelligent Robotic Systems Prof. Richard Voyles Department of Computer Engineering University of Denver ENCE 3830/4800 What is a Robot? WWWebsters: a mechanism guided by automatic controls a device that

More information

Agents in the Real World Agents and Knowledge Representation and Reasoning

Agents in the Real World Agents and Knowledge Representation and Reasoning Agents in the Real World Agents and Knowledge Representation and Reasoning An Introduction Mitsubishi Concordia, Java-based mobile agent system. http://www.merl.com/projects/concordia Copernic Agents for

More information

Chapter 2 Intelligent Control System Architectures

Chapter 2 Intelligent Control System Architectures Chapter 2 Intelligent Control System Architectures Making realistic robots is going to polarize the market, if you will. You will have some people who love it and some people who will really be disturbed.

More information

Post-Moore s Law Computation. Embodiment and Non-Turing Computation. Differences in Spatial Scale. Differences in Time Scale

Post-Moore s Law Computation. Embodiment and Non-Turing Computation. Differences in Spatial Scale. Differences in Time Scale Post-Moore s Law Computation Embodiment and Non-Turing Computation Bruce MacLennan Dept. of Electrical Eng. & Computer Science University of Tennessee, Knoxville The end of Moore s Law is in sight! Physical

More information

ON THE WATCH. Tony Belpaeme and Andreas Birk AI-lab, Vrije Universiteit Brussel Belgium

ON THE WATCH. Tony Belpaeme and Andreas Birk AI-lab, Vrije Universiteit Brussel Belgium ON THE WATCH Tony Belpaeme and Andreas Birk AI-lab, Vrije Universiteit Brussel Belgium 97RO007 Draft version Accepted at the ISATA Conference 97, Florence, Italy, 1997. ABSTRACT In this paper we describe

More information

One computer theorist s view of cognitive systems

One computer theorist s view of cognitive systems One computer theorist s view of cognitive systems Jiri Wiedermann Institute of Computer Science, Prague Academy of Sciences of the Czech Republic Partially supported by grant 1ET100300419 Outline 1. The

More information

Hybrid architectures. IAR Lecture 6 Barbara Webb

Hybrid architectures. IAR Lecture 6 Barbara Webb Hybrid architectures IAR Lecture 6 Barbara Webb Behaviour Based: Conclusions But arbitrary and difficult to design emergent behaviour for a given task. Architectures do not impose strong constraints Options?

More information

The role of physical embodiment in human-robot interaction

The role of physical embodiment in human-robot interaction The role of physical embodiment in human-robot interaction Joshua Wainer David J. Feil-Seifer Dylan A. Shell Maja J. Matarić Interaction Laboratory Center for Robotics and Embedded Systems Department of

More information

Intro to AI. AI is a huge field. AI is a huge field 2/26/16. What is AI (artificial intelligence) What is AI. One definition:

Intro to AI. AI is a huge field. AI is a huge field 2/26/16. What is AI (artificial intelligence) What is AI. One definition: Intro to AI CS30 David Kauchak Spring 2016 http://www.bbspot.com/comics/pc-weenies/2008/02/3248.php Adapted from notes from: Sara Owsley Sood AI is a huge field What is AI (artificial intelligence) AI

More information

Intelligent Agents & Search Problem Formulation. AIMA, Chapters 2,

Intelligent Agents & Search Problem Formulation. AIMA, Chapters 2, Intelligent Agents & Search Problem Formulation AIMA, Chapters 2, 3.1-3.2 Outline for today s lecture Intelligent Agents (AIMA 2.1-2) Task Environments Formulating Search Problems CIS 421/521 - Intro to

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

Embodiment from Engineer s Point of View

Embodiment from Engineer s Point of View New Trends in CS Embodiment from Engineer s Point of View Andrej Lúčny Department of Applied Informatics FMFI UK Bratislava lucny@fmph.uniba.sk www.microstep-mis.com/~andy 1 Cognitivism Cognitivism is

More information

Cognitive Robotics 2016/2017

Cognitive Robotics 2016/2017 Cognitive Robotics 2016/2017 Course Introduction Matteo Matteucci matteo.matteucci@polimi.it Artificial Intelligence and Robotics Lab - Politecnico di Milano About me and my lectures Lectures given by

More information

Intro to AI. AI is a huge field. AI is a huge field 2/19/15. What is AI. One definition:

Intro to AI. AI is a huge field. AI is a huge field 2/19/15. What is AI. One definition: Intro to AI CS30 David Kauchak Spring 2015 http://www.bbspot.com/comics/pc-weenies/2008/02/3248.php Adapted from notes from: Sara Owsley Sood AI is a huge field What is AI AI is a huge field What is AI

More information

Important Tools and Perspectives for the Future of AI

Important Tools and Perspectives for the Future of AI Important Tools and Perspectives for the Future of AI The Norwegian University of Science and Technology (NTNU) Trondheim, Norway keithd@idi.ntnu.no April 1, 2011 Outline 1 Artificial Life 2 Cognitive

More information

MULTI-LAYERED HYBRID ARCHITECTURE TO SOLVE COMPLEX TASKS OF AN AUTONOMOUS MOBILE ROBOT

MULTI-LAYERED HYBRID ARCHITECTURE TO SOLVE COMPLEX TASKS OF AN AUTONOMOUS MOBILE ROBOT MULTI-LAYERED HYBRID ARCHITECTURE TO SOLVE COMPLEX TASKS OF AN AUTONOMOUS MOBILE ROBOT F. TIECHE, C. FACCHINETTI and H. HUGLI Institute of Microtechnology, University of Neuchâtel, Rue de Tivoli 28, CH-2003

More information

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Lecture 01 - Introduction Edirlei Soares de Lima What is Artificial Intelligence? Artificial intelligence is about making computers able to perform the

More information

CPS331 Lecture: Agents and Robots last revised November 18, 2016

CPS331 Lecture: Agents and Robots last revised November 18, 2016 CPS331 Lecture: Agents and Robots last revised November 18, 2016 Objectives: 1. To introduce the basic notion of an agent 2. To discuss various types of agents 3. To introduce the subsumption architecture

More information

Advanced Robotics Introduction

Advanced Robotics Introduction Advanced Robotics Introduction Institute for Software Technology 1 Motivation Agenda Some Definitions and Thought about Autonomous Robots History Challenges Application Examples 2 http://youtu.be/rvnvnhim9kg

More information

Bridging the gap between agent and environment: the missing body

Bridging the gap between agent and environment: the missing body Bridging the gap between agent and environment: the missing body Julien Saunier Computer Science, Information Processing and Systems Laboratory (LITIS), INSA-Rouen, Avenue de l Université - BP8, 76801

More information

Cognitive robots and emotional intelligence Cloud robotics Ethical, legal and social issues of robotic Construction robots Human activities in many

Cognitive robots and emotional intelligence Cloud robotics Ethical, legal and social issues of robotic Construction robots Human activities in many Preface The jubilee 25th International Conference on Robotics in Alpe-Adria-Danube Region, RAAD 2016 was held in the conference centre of the Best Western Hotel M, Belgrade, Serbia, from 30 June to 2 July

More information

COMP 150: Developmental Robotics. Instructor: Jivko Sinapov

COMP 150: Developmental Robotics. Instructor: Jivko Sinapov COMP 150: Developmental Robotics Instructor: Jivko Sinapov www.cs.tufts.edu/~jsinapov This Week Embodiment Team-up Activity Literature Surveys Announcement Readings for Week 4 are out Homework 2 will go

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

More Robots in Cages Exploring interactions between animals and robots.

More Robots in Cages Exploring interactions between animals and robots. More Robots in Cages Exploring interactions between animals and robots. Marc Böhlen 1 Abstract Typically, roboticists have invoked the animal world conceptually as a source of inspiration for finding new

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

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

CS 380: ARTIFICIAL INTELLIGENCE RATIONAL AGENTS. Santiago Ontañón

CS 380: ARTIFICIAL INTELLIGENCE RATIONAL AGENTS. Santiago Ontañón CS 380: ARTIFICIAL INTELLIGENCE RATIONAL AGENTS Santiago Ontañón so367@drexel.edu Outline What is an Agent? Rationality Agents and Environments Agent Types (these slides are adapted from Russel & Norvig

More information

Reinforcement Learning Simulations and Robotics

Reinforcement Learning Simulations and Robotics Reinforcement Learning Simulations and Robotics Models Partially observable noise in sensors Policy search methods rather than value functionbased approaches Isolate key parameters by choosing an appropriate

More information

IN5480 vildehos Høst 2018

IN5480 vildehos Høst 2018 1. Three definitions of Ai The study of how to produce machines that have some of the qualities that the human mind has, such as the ability to understand language, recognize pictures, solve problems,

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

Cognitive Robotics 2017/2018

Cognitive Robotics 2017/2018 Cognitive Robotics 2017/2018 Course Introduction Matteo Matteucci matteo.matteucci@polimi.it Artificial Intelligence and Robotics Lab - Politecnico di Milano About me and my lectures Lectures given by

More information

Robot Learning by Demonstration using Forward Models of Schema-Based Behaviors

Robot Learning by Demonstration using Forward Models of Schema-Based Behaviors Robot Learning by Demonstration using Forward Models of Schema-Based Behaviors Adam Olenderski, Monica Nicolescu, Sushil Louis University of Nevada, Reno 1664 N. Virginia St., MS 171, Reno, NV, 89523 {olenders,

More information

Session 11 Introduction to Robotics and Programming mbot. >_ {Code4Loop}; Roochir Purani

Session 11 Introduction to Robotics and Programming mbot. >_ {Code4Loop}; Roochir Purani Session 11 Introduction to Robotics and Programming mbot >_ {Code4Loop}; Roochir Purani RECAP from last 2 sessions 3D Programming with Events and Messages Homework Review /Questions Understanding 3D Programming

More information

What is Artificial Intelligence? Alternate Definitions (Russell + Norvig) Human intelligence

What is Artificial Intelligence? Alternate Definitions (Russell + Norvig) Human intelligence CSE 3401: Intro to Artificial Intelligence & Logic Programming Introduction Required Readings: Russell & Norvig Chapters 1 & 2. Lecture slides adapted from those of Fahiem Bacchus. What is AI? What is

More information

Why interest in visual perception?

Why interest in visual perception? Raffaella Folgieri Digital Information & Communication Departiment Constancy factors in visual perception 26/11/2010, Gjovik, Norway Why interest in visual perception? to investigate main factors in VR

More information

A Practical Approach to Understanding Robot Consciousness

A Practical Approach to Understanding Robot Consciousness A Practical Approach to Understanding Robot Consciousness Kristin E. Schaefer 1, Troy Kelley 1, Sean McGhee 1, & Lyle Long 2 1 US Army Research Laboratory 2 The Pennsylvania State University Designing

More information

COSC343: Artificial Intelligence

COSC343: Artificial Intelligence COSC343: Artificial Intelligence Lecture 2: Starting from scratch: robotics and embodied AI Alistair Knott Dept. of Computer Science, University of Otago Alistair Knott (Otago) COSC343 Lecture 2 1 / 29

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

Development of a telepresence agent

Development of a telepresence agent Author: Chung-Chen Tsai, Yeh-Liang Hsu (2001-04-06); recommended: Yeh-Liang Hsu (2001-04-06); last updated: Yeh-Liang Hsu (2004-03-23). Note: This paper was first presented at. The revised paper was presented

More information

EMERGENCE OF COMMUNICATION IN TEAMS OF EMBODIED AND SITUATED AGENTS

EMERGENCE OF COMMUNICATION IN TEAMS OF EMBODIED AND SITUATED AGENTS EMERGENCE OF COMMUNICATION IN TEAMS OF EMBODIED AND SITUATED AGENTS DAVIDE MAROCCO STEFANO NOLFI Institute of Cognitive Science and Technologies, CNR, Via San Martino della Battaglia 44, Rome, 00185, Italy

More information

Children and Social Robots: An integrative framework

Children and Social Robots: An integrative framework Children and Social Robots: An integrative framework Jochen Peter Amsterdam School of Communication Research University of Amsterdam (Funded by ERC Grant 682733, CHILDROBOT) Prague, November 2016 Prague,

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

COMP9414/ 9814/ 3411: Artificial Intelligence. Week 2. Classifying AI Tasks

COMP9414/ 9814/ 3411: Artificial Intelligence. Week 2. Classifying AI Tasks COMP9414/ 9814/ 3411: Artificial Intelligence Week 2. Classifying AI Tasks Russell & Norvig, Chapter 2. COMP9414/9814/3411 18s1 Tasks & Agent Types 1 Examples of AI Tasks Week 2: Wumpus World, Robocup

More information

PERCEPTUAL AND SOCIAL FIDELITY OF AVATARS AND AGENTS IN VIRTUAL REALITY. Benjamin R. Kunz, Ph.D. Department Of Psychology University Of Dayton

PERCEPTUAL AND SOCIAL FIDELITY OF AVATARS AND AGENTS IN VIRTUAL REALITY. Benjamin R. Kunz, Ph.D. Department Of Psychology University Of Dayton PERCEPTUAL AND SOCIAL FIDELITY OF AVATARS AND AGENTS IN VIRTUAL REALITY Benjamin R. Kunz, Ph.D. Department Of Psychology University Of Dayton MAICS 2016 Virtual Reality: A Powerful Medium Computer-generated

More information

A Robust Neural Robot Navigation Using a Combination of Deliberative and Reactive Control Architectures

A Robust Neural Robot Navigation Using a Combination of Deliberative and Reactive Control Architectures A Robust Neural Robot Navigation Using a Combination of Deliberative and Reactive Control Architectures D.M. Rojas Castro, A. Revel and M. Ménard * Laboratory of Informatics, Image and Interaction (L3I)

More information

CS494/594: Software for Intelligent Robotics

CS494/594: Software for Intelligent Robotics CS494/594: Software for Intelligent Robotics Spring 2007 Tuesday/Thursday 11:10 12:25 Instructor: Dr. Lynne E. Parker TA: Rasko Pjesivac Outline Overview syllabus and class policies Introduction to class:

More information

Model-based Diagnosis Tutorial PHM-E 12

Model-based Diagnosis Tutorial PHM-E 12 Model-based Diagnosis Tutorial PHM-E 12 Peter Struss Tech. Univ. of Munich Univ. College Cork OCC M Software GmbH struss@in.tum.de - 1 Outline 1 Introduction: Model-based Systems 2 Component-oriented (Qualitative)

More information

EE631 Cooperating Autonomous Mobile Robots. Lecture 1: Introduction. Prof. Yi Guo ECE Department

EE631 Cooperating Autonomous Mobile Robots. Lecture 1: Introduction. Prof. Yi Guo ECE Department EE631 Cooperating Autonomous Mobile Robots Lecture 1: Introduction Prof. Yi Guo ECE Department Plan Overview of Syllabus Introduction to Robotics Applications of Mobile Robots Ways of Operation Single

More information

Designing the Mind of a Social Robot

Designing the Mind of a Social Robot Article Designing the Mind of a Social Robot Nicole Lazzeri 1, *, ID, Daniele Mazzei 1,, Lorenzo Cominelli 2,, Antonio Cisternino 1, and Danilo Emilio De Rossi 2, 1 Computer Science Department, University

More information

reality lapses with the attention." (James, 1950, p~ 293)~

reality lapses with the attention. (James, 1950, p~ 293)~ reality lapses with the attention." (James, 1950, p~ 293)~ Is James right? If not, wherein? If so, is that how artificial intelligence--which possibly has design options not available to the human mind--would

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

Toward Interactive Learning of Object Categories by a Robot: A Case Study with Container and Non-Container Objects

Toward Interactive Learning of Object Categories by a Robot: A Case Study with Container and Non-Container Objects Toward Interactive Learning of Object Categories by a Robot: A Case Study with Container and Non-Container Objects Shane Griffith, Jivko Sinapov, Matthew Miller and Alexander Stoytchev Developmental Robotics

More information

How to AI COGS 105. Traditional Rule Concept. if (wus=="hi") { was = "hi back to ya"; }

How to AI COGS 105. Traditional Rule Concept. if (wus==hi) { was = hi back to ya; } COGS 105 Week 14b: AI and Robotics How to AI Many robotics and engineering problems work from a taskbased perspective (see competing traditions from last class). What is your task? What are the inputs

More information

Situated Robotics INTRODUCTION TYPES OF ROBOT CONTROL. Maja J Matarić, University of Southern California, Los Angeles, CA, USA

Situated Robotics INTRODUCTION TYPES OF ROBOT CONTROL. Maja J Matarić, University of Southern California, Los Angeles, CA, USA This article appears in the Encyclopedia of Cognitive Science, Nature Publishers Group, Macmillian Reference Ltd., 2002. Situated Robotics Level 2 Maja J Matarić, University of Southern California, Los

More information

Advanced Robotics Introduction

Advanced Robotics Introduction Advanced Robotics Introduction Institute for Software Technology 1 Agenda Motivation Some Definitions and Thought about Autonomous Robots History Challenges Application Examples 2 Bridge the Gap Mobile

More information

Robotic Systems ECE 401RB Fall 2007

Robotic Systems ECE 401RB Fall 2007 The following notes are from: Robotic Systems ECE 401RB Fall 2007 Lecture 14: Cooperation among Multiple Robots Part 2 Chapter 12, George A. Bekey, Autonomous Robots: From Biological Inspiration to Implementation

More information

Neuro-Fuzzy and Soft Computing: Fuzzy Sets. Chapter 1 of Neuro-Fuzzy and Soft Computing by Jang, Sun and Mizutani

Neuro-Fuzzy and Soft Computing: Fuzzy Sets. Chapter 1 of Neuro-Fuzzy and Soft Computing by Jang, Sun and Mizutani Chapter 1 of Neuro-Fuzzy and Soft Computing by Jang, Sun and Mizutani Outline Introduction Soft Computing (SC) vs. Conventional Artificial Intelligence (AI) Neuro-Fuzzy (NF) and SC Characteristics 2 Introduction

More information

Reactive Planning with Evolutionary Computation

Reactive Planning with Evolutionary Computation Reactive Planning with Evolutionary Computation Chaiwat Jassadapakorn and Prabhas Chongstitvatana Intelligent System Laboratory, Department of Computer Engineering Chulalongkorn University, Bangkok 10330,

More information

YDDON. Humans, Robots, & Intelligent Objects New communication approaches

YDDON. Humans, Robots, & Intelligent Objects New communication approaches YDDON Humans, Robots, & Intelligent Objects New communication approaches Building Robot intelligence Interdisciplinarity Turning things into robots www.ydrobotics.co m Edifício A Moagem Cidade do Engenho

More information

Autonomous and Autonomic Systems: With Applications to NASA Intelligent Spacecraft Operations and Exploration Systems

Autonomous and Autonomic Systems: With Applications to NASA Intelligent Spacecraft Operations and Exploration Systems Walt Truszkowski, Harold L. Hallock, Christopher Rouff, Jay Karlin, James Rash, Mike Hinchey, and Roy Sterritt Autonomous and Autonomic Systems: With Applications to NASA Intelligent Spacecraft Operations

More information

Introduction to Computer Science

Introduction to Computer Science Introduction to Computer Science CSCI 109 Andrew Goodney Fall 2017 China Tianhe-2 Robotics Nov. 20, 2017 Schedule 1 Robotics ì Acting on the physical world 2 What is robotics? uthe study of the intelligent

More information

INTERACTION AND SOCIAL ISSUES IN A HUMAN-CENTERED REACTIVE ENVIRONMENT

INTERACTION AND SOCIAL ISSUES IN A HUMAN-CENTERED REACTIVE ENVIRONMENT INTERACTION AND SOCIAL ISSUES IN A HUMAN-CENTERED REACTIVE ENVIRONMENT TAYSHENG JENG, CHIA-HSUN LEE, CHI CHEN, YU-PIN MA Department of Architecture, National Cheng Kung University No. 1, University Road,

More information

ADAPTIVE HOME AUTOMATION. A Major Qualifying Project. submitted to the Faculty. of the WORCESTER POLYTECHNIC INSTITUTE

ADAPTIVE HOME AUTOMATION. A Major Qualifying Project. submitted to the Faculty. of the WORCESTER POLYTECHNIC INSTITUTE Project Number: DCB-01JF ADAPTIVE HOME AUTOMATION A Major Qualifying Project submitted to the Faculty of the WORCESTER POLYTECHNIC INSTITUTE in partial fulfillment of the requirements for the Degree of

More information

On a Possible Future of Computationalism

On a Possible Future of Computationalism Magyar Kutatók 7. Nemzetközi Szimpóziuma 7 th International Symposium of Hungarian Researchers on Computational Intelligence Jozef Kelemen Institute of Computer Science, Silesian University, Opava, Czech

More information