Cognitive ability: Challenge: How to recognize objects in a scene; where are the object’s boundaries? This problem is known as ‘image segmentation’ in.

Slides:



Advertisements
Similar presentations
Is Free Will Possible ( if all thinking is, in fact, unconscious)?
Advertisements

Objectives Make qualitative and quantitative observations
The Extended Mind.
How Do People Learn From e-Courses? Chapter 2 Ken Koedinger Based on slides from Ruth Clark 1.
Section III THE SELF Egos, Bundles and Multiple Selves Theories of Self Agency and Free Will.
Perception and Perspective in Robotics Paul Fitzpatrick MIT Computer Science and Artificial Intelligence Laboratory Humanoid Robotics Group Goal To build.
Perception Chapter 4.
Artificial Intelligence
ERGONOMICS KINAESTHESIA. ERGONOMICS STUDY OF HUMAN BEINGS IN THEIR WORKING ENVIRONMENT ERGONOMICS INVOLVES: MAN-MACHINE MAN-ARTIFACT RELATIONSHIP.
Higher Mental Functions. The brain exhibits electrical activity, which is associated with higher mental functions.
Introduction to Robotics In the name of Allah. Introduction to Robotics o Leila Sharif o o Lecture #2: The Big.
Artificial Intelligence
Causality Interface  Declares the dependency that output events have on input events.  D is an ordered set associated with the min ( ) and plus ( ) operators.
Towards a true neural stance on consciousness by Victor A.F. Lamme (2006) Group 10: Chi-Hang Lau, Anita Leung, Clarisse Miguel, Elisa Tsan, Alistair Wong.
Approaches to Knowledge Descriptive Approach Conveying of knowledge through the verbal and pictorial description of events or circumstances Rationalistic.
Section 3.3 Control Yourself Freedom as Self-Determination 1.
Overview of Long-Term Memory laura leventhal. Reference Chapter 14 Chapter 14.
Emotion, Cognition and Behavior: The Interplay Mentoring CPD & Supervision.
6.3 Physiological Computing ISE554 The WWW for eLearning.
Attention Introduction to Cognitive Science. Overview A few more things on perception Attention –Description of Attention What is attention? What are.
Emotion.
Sensors. Sensors are for Perception Sensors are physical devices that measure physical quantities. – Such as light, temperature, pressure – Proprioception.
Technologies of Representation Ls9 Mirror Neurons April 2015 Digital Media Program, University of Lower Silesia Dr. Krystina Madej School of Literature,
The Whole World in Your Hand: Active and Interactive Segmentation The Whole World in Your Hand: Active and Interactive Segmentation – Artur Arsenio, Paul.
MODULE 23 COGNITION/THINKING. THINKING Thinking is a cognitive process in which the brain uses information from the senses, emotions, and memory to create.
Prediction in Human Presented by: Rezvan Kianifar January 2009.
Sensing and Responding to the Environment. CB 48.3 Nerves allow us to perceive the environment while the brain integrates the incoming signals to determine.
Computational Intelligence II Lecturer: Professor Pekka Toivanen Exercises: Nina Rogelj
Experimental Economics and Neuroeconomics. An Illustration: Rules.
Chapter 20: Perceptual Motor Development PED 383: Adapted Physical Education Dr. Johnson.
‘Can the situated cognitive loop hypothesis be supported by the notion of self-consciousness?’ Katerina Capouskova MSc. Philosophy of science LSE (London)
You will be shown a timer, counting down from 60s to 0s. At a time of your choosing, tap on the desk with your pen. Record the time at which you decided.
Robotics Sharif In the name of Allah. Robotics Sharif Introduction to Robotics o Leila Sharif o o Lecture #2: The.
Introduction to Machine Learning Kamal Aboul-Hosn Cornell University Chess, Chinese Rooms, and Learning.
 The passive process of bringing information from the outside world into the body and to the brain.  The process is passive in the sense that we do.
University of Windsor School of Computer Science Topics in Artificial Intelligence Fall 2008 Sept 11, 2008.
Brain Imaging in Natural Cognition Sit still! Nearly all brain imaging studies (MEG, PET, fMRI, and EEG) are conducted in rigidly static seated or prone.
Information processing
Learning Agents MSE 2400 EaLiCaRA Spring 2015 Dr. Tom Way.
Object Lesson: Discovering and Learning to Recognize Objects Object Lesson: Discovering and Learning to Recognize Objects – Paul Fitzpatrick – MIT CSAIL.
Lecture 1: Overview of Motor Control. What is Motor Control?
1 Challenges visual perception auditory perception speech perception lack of invariance no distinct segments lightness contrast pitch depends on loudness.
Unit 3 The Workings of Mind and Body. Matching The weakest amount of a stimulus that a person can detect half the time – The gap that occurs between the.
MAX This is MAX. He is a brain in a vat. (and this is a new take on an old thought experiment) Unlike other envatted brains however, the Physical Reality.
Situated Cognition: A New Direction in AI Bram van Heuveln.
Give examples of the way that virtual reality can be used in Psychology.
Chapter 7 Affective Computing. Structure IntroductionEmotions Emotions & Computers Applications.
How conscious experience and working memory interact Bernard J. Baars and Stan Franklin Soft Computing Laboratory 김 희 택 TRENDS in Cognitive Sciences vol.
Copyright © 2013, 2010, 2007 Pearson Education, Inc. All Rights Reserved.
Unit 2 - Perception. The Perceptual Process Sensory stimuli – sounds, sights, smells, tastes, and feelings you experience on a regular basis Perception.
Bridges To Computing General Information: This document was created for use in the "Bridges to Computing" project of Brooklyn College. You are invited.
Sensation and Perception By: Mike Hervey. Thresholds Absolute Thresholds: the level of stimulation that is right on our perceptual borderline Absolute.
Blindsight, Zombies & Consciousness Jim Fahey Department of Cognitive Science Rensselaer Polytechnic Institute 10/4/2007.
The Process of Forming Perceptions SHMD219. Perception The ability to see, hear, or become aware of something through the senses. Perception is a series.
Observation vs. Inferences The Local Environment.
Chapter 15. Cognitive Adequacy in Brain- Like Intelligence in Brain-Like Intelligence, Sendhoff et al. Course: Robots Learning from Humans Cinarel, Ceyda.
Artificial Intelligence ( AI ) Ahmed Ismail AIT 600 Spring 08.
1 Computational Vision CSCI 363, Fall 2012 Lecture 2 Introduction to Vision Science.
Does the brain compute confidence estimates about decisions?
Overview of Artificial Intelligence (1) Artificial intelligence (AI) Computers with the ability to mimic or duplicate the functions of the human brain.
Chapter 9 Knowledge. Some Questions to Consider Why is it difficult to decide if a particular object belongs to a particular category, such as “chair,”
Automation as the Subject of Mechanical Engineer’s interest
When to engage in interaction – and how
Today: Classic & AI Control Wednesday: Image Processing/Vision
Rationalism versus Empiricism
ARTIFICIAL INTELLIGENCE.
Perception Chapter 8-3.
Libet (1983). Time of conscious intention to act in relation to onset of cerebral activity (readiness potential): the unconscious initiation of a freely.
Artificial Intelligence
Philosophy Dec. 1st Objective Opener
Presentation transcript:

Cognitive ability: Challenge: How to recognize objects in a scene; where are the object’s boundaries? This problem is known as ‘image segmentation’ in the field of computer vision. It is one of the most difficult problems in computer vision. CS295/CS395/CSYS395Evolutionary Robotics

Cognitive ability: Challenge: How to recognize objects in a scene; where are the object’s boundaries? This problem is known as ‘image segmentation’ in the field of computer vision. Solution: Cog: interacts with the scene, rather than passively observing it. Q: What else can Cog infer about the objects it interacts with? CS295/CS395/CSYS395Evolutionary Robotics Early integration of vision and manipulation. G Metta, P Fitzpatrick Adaptive Behavior, 2003

CS295/CS395/CSYS395Evolutionary Robotics Cognitive ability: Kasparov vs. Deep Blue: Won its first game against world champion: Won its first match against world champion: Q: How does Deep Blue work?

Cognitive ability: Example: Another aspect of human cognition: free will. Most people believe that they have free will: “I decide in my mind that I want to do something, and then I do it.” Libet, B., Gleason, C. A., Write, E. W., and Pearl, D. K. (1983). Time of conscious intention to act in relation to onset of cerebral activity (readiness-potential): The unconscious initiation of a freely voluntary act. Brain, 106: Time (EEG) sensors record brain activity I decide to move my finger now. The finger moves. 0 msec200 msec (EMG) sensors record muscle activity CS295/CS395/CSYS395Evolutionary Robotics

Warning: Thinking about thinking is misleading; introspection is dangerous Example: Another aspect of human cognition: free will. Most people believe that they have free will: “I decide in my mind that I want to do something, and then I do it.”  Thinking about free will seems to imply that free will exists … but does it? Observation: Brain activity associated with the finger movement begins 300 msec before the subject experiences the conscious will to move the finger. Conclusion: If free will is unconscious, and our consciousness has no control over it, then it can’t be “free” will. Time (EEG) sensors record brain activity I decide to move my finger now. The finger moves. 0 msec200 msec-300 msec (EMG) sensors record muscle activity CS295/CS395/CSYS395Evolutionary Robotics

CS295/CS395/CSYS395Evolutionary Robotics Model Sense Move Embodied Planning Model Plan

CS295/CS395/CSYS395Evolutionary Robotics 1.Behaviors are arranged in parallel, not serial. 2. One behavior is always in control at any one time. 3. When stimuli are not present, higher levels subsume control of the robot.

(This does not count as a body  ) Why not? A body is a tool for affecting the world, and for being affected by it. Embodied cognition: the way you process information is affected by the fact that you have a body. Example: If you have a body that can move, and you can see, then moving will cause immediate feedback. Non-embodied technologies (such as computers) must wait for feedback from another computer (via packets) or a person (via an input device). Movement Distance grows less CS295/CS395/CSYS395Evolutionary Robotics

(Embodied cognition: the way you process information is affected by the fact that you have a body.) Situated cognition: the way you process information is affected by the fact that you are physically situated in the world. Example: Embedded devices Changes in sensor readings are often the result of physical processes: 1. they occur in real-time, 2. they are not under the control of the device or agent, 3. and they do not wait for a signal from the device to change. Specific example:A wireless sensor senses changes in light levels; light levels change regardless of whether the device records the data or not. A computer:Data within computer memory does not change, unless it is explicitly changed by the computer itself. CS295/CS395/CSYS395Evolutionary Robotics

Embodied and Situated cognition (Embodied cognition: the way you process information is affected by the fact that you have a body.) (Situated cognition: the way you process information is affected by the fact that you are physically situated in the world. A complete agent is an agent that is both situated and embodied. Complete agents have three important properties that distinguish them from other kinds of agents: 1.They are subject to the laws of physics (by being in the world). Q: Examples? 2. They generate sensory stimulation (through behavior). Q: Examples? 3. They affect the environment (through behavior). Q: Examples? CS295/CS395/CSYS395Evolutionary Robotics

Classification of technologies: CS295/CS395/CSYS395Evolutionary Robotics