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... A.I (Artificial Intelligence) was first introduced to me when I was playing a strategy based computer game on my fathers PC. I always wondered as to how the computer would know how and when to respond to my attacks and even counter them without me knowing what my next move was going to be. This form ...
CHAPTER 21 THE NERVOUS SYSTEM and SENSES
CHAPTER 21 THE NERVOUS SYSTEM and SENSES

... tell your brain about tactile sensations. There are several types of touch receptors, but they can be divided into two groups. • (1) mechanoreceptors that tell you about sensations of pushing, pulling or movement, – The mechanoreceptors contain the most types of ...
Sensory and Motor Systems
Sensory and Motor Systems

... Hairlike receptors to detect frequency Temporal lobe Heschl’s gyrus Frequency bands Not quite as rigid as the visual system but some bands are more sensitive to certain frequencies ...
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Unit 5: Study Guide Biological Bases of Behavior (Neuroscience)

... Unit 5: Study Guide Biological Bases of Behavior (Neuroscience) Students need to understand the relationship between biology and behavior. We explore the range of techniques scientists have used to learn about brain function, from procedures such as ablation, direct stimulation, EEG, CAT scans, PET ...
Artificial Intelligence
Artificial Intelligence

... Should do whatever action is expected to maximize its performance measure based on percept sequence and whatever build-in knowledge the agent has ...
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Minsky`s Students` progress at MIT…

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The Sensorimotor Stage
The Sensorimotor Stage

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Minsky`s Students` progress at MIT…
Minsky`s Students` progress at MIT…

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lec1-aug28-09 - Computer Science Department : Sonoma State

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Nervous System

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Control of Movement

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Unit 2 The Brain
Unit 2 The Brain

... Question 5 • If an axon of a neuron is covered with myelin, which of the following is TRUE? – A. the action potential will move much slower down the axon – B. The action potential will move much faster down the axon – C. The neuron must be a sensory neuron – D. The threshold of excitation will incr ...
Activity 1.2.5 Mechanical System Efficiency * VEX
Activity 1.2.5 Mechanical System Efficiency * VEX

... brain around 2035. He predicts a “singularity” in 2045 in which machines quickly design smarter machines on their own. a. When computers become smart enough that we cannot tell humans and computers apart (the Turing test), do you think that computers will experience consciousness the way we do? Shou ...
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Lecture 28: Physical symbol system

... Newell, Allen and Simon, Herbert, “Computer Science and Empirical Inquiry: Search and Symbols”, Mind Design II, Ed. John Hagueland, MIT Press, 1997, Searle, John, “Minds, Brains and Programs”, Minds I, Ed. Douglas Hofstadter, and Daniel Dennett, Basic Books, 2001, P. 282-306 ...
Unit 3A: Neural Processing and the Endocrine System Introduction
Unit 3A: Neural Processing and the Endocrine System Introduction

... pressure, blood sugar, and slows digestion. It gets you ready for action. 2. The parasympathetic nervous system kicks in when the “crisis” is over – it calms you down by doing the opposite things. It helps you chill out. The central nervous system 1. Our bodies are amazing, but without the brain, we ...
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NOTE

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GROUP “A” L T P/S SW/FW TOTAL CREDIT UNITS 1 1 -

... Course Objectives: 1. Describe the nature and basic functions of the nervous system. 2. Explain what neurons are and how they process information. 3. Identify the brain’s levels and structures, and summarize the functions of its structures. 4. Describe the biochemical aspects of brain and how geneti ...
The Nervous System
The Nervous System

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... What are the major areas of the brain that are associated with the perception of sound? • The majority of thalamic neurons that receive sound information subsequently project the information to the primary auditory cortex. Thereafter, information is projected to the secondary auditory cortex (SII) ...
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Sensation

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MCS 8100/CSC 2114 : Artificial Intelligence
MCS 8100/CSC 2114 : Artificial Intelligence

... - Programs that behave (externally) like humans • Computational models of human thought processes ? ...
Applications of computer science in the life sciences
Applications of computer science in the life sciences

... Reward of +1 for a win, 0 for a loss (for example) As it visits states, an agent estimates the state’s value using the temporal difference rule Agent must exploit knowledge and explore alternatives Given enough games, the agent is very likely to discover the best action for each state ...
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Embodied cognitive science

For approaches to cognitive science that emphasize the embodied mind, see Embodied cognitionEmbodied Cognitive Science is an interdisciplinary field of research, the aim of which is to explain the mechanisms underlying intelligent behavior. It comprises three main methodologies: 1) the modeling of psychological and biological systems in a holistic manner that considers the mind and body as a single entity, 2) the formation of a common set of general principles of intelligent behavior, and 3) the experimental use of robotic agents in controlled environments.Embodied cognitive science borrows heavily from embodied philosophy and the related research fields of cognitive science, psychology, neuroscience and artificial intelligence. From the perspective of neuroscience, research in this field was led by Gerald Edelman of the Neurosciences Institute at La Jolla, the late Francisco Varela of CNRS in France, and J. A. Scott Kelso of Florida Atlantic University. From the perspective of psychology, research by Michael Turvey, Lawrence Barsalou and Eleanor Rosch. From the perspective of language acquisition, Eric Lenneberg and Philip Rubin at Haskins Laboratories. From the perspective of autonomous agent design, early work is sometimes attributed to Rodney Brooks or Valentino Braitenberg. From the perspective of artificial intelligence, see Understanding Intelligence by Rolf Pfeifer and Christian Scheier or How the body shapes the way we think, also by Rolf Pfeifer and Josh C. Bongard. From the perspective of philosophy see Andy Clark, Shaun Gallagher, and Evan Thompson.Turing proposed that a machine may need a human-like body to think and speak:It can also be maintained that it is best to provide the machine with the best sense organs that money can buy, and then teach it to understand and speak English. That process could follow the normal teaching of a child. Things would be pointed out and named, etc. Again, I do not know what the right answer is, but I think both approaches should be tried (Turing, 1950).↑
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