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computional-art.pdf
computional-art.pdf

... capable, as an artist, of producing images that can be appreciated by other people or artifacts. More specifically, I ask the question "How do we program a computer to behave like an artist?" The reason for choosing a computer for our engineering task instead of any other mechanical device is that t ...
Prof. Hudak`s Lecture Notes
Prof. Hudak`s Lecture Notes

... x = x+1 in an imperative language is a command – it says take the old value of x, and add 1 to it. In contrast, x = x+1 in Haskell is a definition – it says what x is, not how to compute it. In this case, x is defined as a number that is the same as 1 plus that number – i.e. it is the solution to th ...
Definition of a `Robot`
Definition of a `Robot`

... language and voice inflection and responds appropriately. Kismet's creators are interested in how humans and babies interact, based only on tone of speech and visual cue. This low-level interaction could be the foundation of a human-like learning system. Kismet and other humanoid robots at the M.I.T ...
Application of Artificial Intelligence in Today`s
Application of Artificial Intelligence in Today`s

... Intelligence takes many forms, which are not necessarily best tested this way. Is it important that an intelligent system act like a human?, because not all humans are intelligent. ...
chapter 3 slides
chapter 3 slides

... A problem is defined by five components: initial state, e.g., In(Arad) actions Actions(s) = set of actions for state s e.g., Actions(In(Arad)) = {Go(Sibiu), Go(T imisoara), Go(Zerind)} transitions Result(s, a) = the successor state e.g., Result(In(Arad), Go(Zerind)) = In(Zerind) goal test, can be an ...
Artificial life: organization, adaptation and complexity
Artificial life: organization, adaptation and complexity

... contemporary artificial life. Complex systems are composed of many elements simultaneously interacting with each other. Those in which the rules governing the elements are reshaped over time by some process of adaptation or learning are complex adaptive systems [6,7], and these are the main focus of ...
Research Statement
Research Statement

... [2] "Dynamic Stochastic Orienteering Problems for Risk-Aware Applications", by Lau Hoong Chuin, William Yeoh, Pradeep Varakantham, Duc Thien Nguyen and Huaxing Chen. Proceedings of Twenty Eighth International Conference on Uncertainty in Artificial Intelligence (UAI-2012). [3] "Robust Local Search f ...
Medical Terminology
Medical Terminology

... Articulation – the site at which bones meet to form a joint Atherosclerosis – accumulation of fatty material on the inner walls of the arteries, causing them to harden, thicken, and lose elasticity Atrophy – wasting away of organ or tissue; A decrease in muscle or tissue size, usually caused by dise ...
Medical Terminology
Medical Terminology

... Articulation – the site at which bones meet to form a joint Atherosclerosis – accumulation of fatty material on the inner walls of the arteries, causing them to harden, thicken, and lose elasticity Atrophy – wasting away of organ or tissue; A decrease in muscle or tissue size, usually caused by dise ...
Prefrontal cortex and diverse functions Keiji Tanaka The prefrontal
Prefrontal cortex and diverse functions Keiji Tanaka The prefrontal

... they tend to show imitation behavior and forced tool-use. It appears that the capability to inhibit reflective actions for the sake of a longer-term goal is weak in these patients. They also have problems in planning (e.g., in the tower of London task) and in reasoning (e.g., in the Raven’s progress ...
4. Cooperation in Multi-agent Systems – Kevin Wong, Seow Kiam Tian
4. Cooperation in Multi-agent Systems – Kevin Wong, Seow Kiam Tian

... of attention in both the information research community and the information industry. As the amount of information available online increases in a daunting rate, web mining, which aims to extract useful and hidden knowledge from information available online, is becoming an issue of great importance. ...
PDF
PDF

... Theoretical physicist Michio Kaku has pointed out that there are so many people who have worked so hard for so long, the neuroscientists have hardly come up with any theory about the design principles of intelligence (Kaku, 2014). Not necessarily agreeing with his conclusion, but I think that Dr. Ka ...
Techniques for Studying Brain Structure and Function 4
Techniques for Studying Brain Structure and Function 4

... minimal effect on scan images. This means that subjects (including even awake chimpanzees) can perform naturalistic, unrestrained tasks during the FDG uptake period and be scanned afterward, and the scan images will still reflect brain activity during the earlier behavioral period • Strengths FDG-PE ...
Jackson Rancheria Casino Shooting
Jackson Rancheria Casino Shooting

... The nervous system is the master coordinating system of the body. Every thought, action, and sensation reflects its activity. Because of its complexity, the structures of the nervous system are described in terms of two principal divisions—the central nervous system (CNS) and the peripheral nervous ...
Chapter 18
Chapter 18

... PET scan on the left shows two areas of the brain (red and yellow) that become particularly active when volunteers read words on a video screen: the primary visual cortex and an additional part of the visual system, both in the back of the left hemisphere. Other brain regions become especially activ ...
Objectives 49
Objectives 49

... - most common causes of dementia include Alzheimer’s disease (50%) and vascular dementia (25%); other causes (25%): degenerative diseases such as Parkinson’s disease, multiple sclerosis, substance abuse, alcohol-induced dementia (Korsakoff Syndrome), infectious diseases, AIDS, encephalitis, autoimmu ...
Computer Science as Empirical Inquiry
Computer Science as Empirical Inquiry

... Our purpose here, however, is not to plead for understanding from an outside world. It is to examine one aspect of our science, the development of new basic understanding by empirical inquiry. This is best done by illustrations. We will be pardoned if, presuming upon the occasion, we choose our exam ...
Chaper 1. A Brief History of Cognitive Neuroscience
Chaper 1. A Brief History of Cognitive Neuroscience

... stimulus and response.’ Watson: “(can) turn any baby into anything.” Gestalt psychology: showed some human behaviors exist only as a function of built-in properties of the brain, not learned. Cognitivism: From 1950s, psychologists began to think in terms of cognition, not just behavior. The processi ...
slides - AGI conferences
slides - AGI conferences

... mult(s(0),x) = add(x,mult(0,x)) = add(x,0) = … = add(0,x) Hence we can derive: 3: x: mult(s(0),x) = x For the generalized theory, the following substitutions can be established: 1: E  0, Op  add Kai-Uwe Kühnberger et al. Universität Osnabrück ...
Symbolic Convergence Perspective
Symbolic Convergence Perspective

... By: Marcela Lopez ...
Electrodes for stimulation
Electrodes for stimulation

... Defibrillators can also be implanted internal to the body. In that case, the battery pack is placed in the shoulder or chest cavity of the patient.. The metal case (usually titanium) of the battery pack is left in contact with body and a metal wire is surgically attached near an electrically sensiti ...
collinsnervoussystem (1)
collinsnervoussystem (1)

... • Get in groups of 2 or 1. No trios. • Create a neuron with playdoh on your paper. • Include the soma, axon, dendrites, mylien sheath and terminal buttons. (5 different colors) • Match the terminal buttons of your neuron with the dendrites of another (without making a complete second neuron. Label t ...
Are you your brain?
Are you your brain?

... plotted them millisecond by millisecond from their formation. ...
"Instead of a review," in Artificial Intelligence 171
"Instead of a review," in Artificial Intelligence 171

... The difficulty with human minds is that they are much too familiar to us. We already “know all about them” and are effortlessly fluent in describing and explaining how they operate using the terms of folk psychology that we learned as children. We “see” and “hear” and “think”; we “make up our minds” ...
Automatic Scene Activity Modeling
Automatic Scene Activity Modeling

... our hierarchy of activities. Our system[4] uses the tracking sequences to determine regions of the input space that are independent and can be safely differentiated. Figure 1 shows a decomposition of the activities for a particular scene. In this case, the leaf nodes correspond to either people or c ...
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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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