Videos that are tagged with: cognitivescience

• A Conversation with Herbert Simon: Previous Research Experience.
  Herbert A. Simon explains how he came to apply computers to psychology. (more)
• A panel discussion about Artificial Intelligence.
  The Charlie Rose Show television broadcast: A panel discussion about the latest developments in Artificial Intelligence with Rodney Brooks of MIT, Eric Horvitz of Microsoft Research and Ron Brachman of the Defense Advanced Research Projects Agency. December 21, 2004. (more)
• AGI-08 promotional video.
  Promotional video for The First Conference on Artificial General Intelligence (AGI-08). FedEx Institute of Technology, University of Memphis. In cooperation with AAAI. March 1-3, 2008. The video answers the question: What is AGI?. December 2007. (more)
• AGIRI 2006 Workshop Keynote Speaker: Dr. Stan Franklin (Dir. Institute for Intelligent Systems, University of Memphis) - A Cognitive Theory of Everything: The LIDA Technology as an Artificial General Intelligence.
  "Implementing and fleshing out a number of psychological and neuroscience theories of cognition, the LIDA conceptual model aims at being a cognitive 'theory of everything.' With modules or processes for perception, working memory, episodic memories, 'consciousness,' procedural memory, action selection, perceptual learning, episodic learning, deliberation, volition, and non-routine problem solving, the LIDA model is ideally suited to provide a working ontology that would allow for the discussion, design, and comparison of AGI systems. The LIDA technology is based on the LIDA cognitive cycle, a sort of 'cognitive atom.' The more elementary cognitive modules play a role in each cognitive cycle. Higher-level processes are performed over multiple cycles. This talk will give a quick overview of the LIDA conceptual model, and its underlying computational technology." May 20, 2006. (more)
• BACON.
  Herbert A. Simon describes BACON and the nature of programs that do science and scientific discovery. March 21, 1990. (more)
• BrainWorks.
  "With the help of five kids, host Eric Chudler takes viewers on a journey inside of the brain. The show begins in the studio with an introduction to the nervous system. The kids then visit laboratories where they learn about automatic functions of the brain and how the electrical activity of the brain is recorded. Back in the studio, the kids see a real human brain and build their own model nerve cells and brains." April 13, 2006. (more)
• CSE Colloquia - 2005: Intelligent Tutoring Systems - Improving Student Modeling.
  Intelligent Tutoring Systems (ITS) are computer-based instructional tools that rely on artificial intelligence techniques to generate individualized interactions tailored to a student's learning needs. Cristina Conati [University of British Columbia] discusses how the scope and effectiveness of ITS can be increased by extending the range of features captured in a student model to include domain independent, meta-cognitive skills and affective states. October 19, 2004. (more)
• CSE Colloquia - 2006: Turing’s Dream and the Knowledge Challenge.
  In this Turing Center distinguished lecture, Lenhart Schubert [University of Rochester] explains that there is a set of clear-cut challenges for artificial intelligence, all centering around knowledge. The solution to those challenges could realize Alan M. Turing's dream - the dream of a machine capable of intelligent human-like response and interaction. Schubert presents preliminary results of recent efforts to extract 'shallow' general knowledge about the world from large text corpora. November 10, 2005. (more)
• CSE Colloquia 2001 - Machines with Emotional Intelligence. Speaker: Rosalind Picard, Media Laboratory, Massachusetts Institute of Technology.
  "Over 70 studies on human-machine interaction in the last decade have pointed to an intriguing phenomenon: People interact with machines in a way that is basically social, even when the interaction was not designed to be that way. This program will describe how we're giving computers some social skills, specifically the ability to recognize and respond appropriately to human emotion. Examples are shown on keyboard-mouse-monitor systems that try to assess user frustration for usability feedback, and wearable systems that classify affective state based on skin-surface measurements." Questions from the audience follow the talk. October 18, 2001. (more)
• Chess Play.
  Excerpt from "Cognitive Processes" lecture by Herbert A. Simon. October 24, 1989. (more)
• Children using Computers to Learn.
  Seymor Papert trying to show how kids can use computers to learn. Various shots of fourth grade kids giving mathematical orders to a computer in order to control a HP display, or to create songs. 1968-1969? (more)
• Discussion of and Demonstrations of Learning Programs for Robots.
  The first half of the film is a lecture by Marvin Minsky describing the basic ideas of Patrick Winston's learning program, using examples and "near misses" to refine the program's model of what an "arch" is. The second half of the film is a narration by Dave Waltz describing other robotics research at MIT. He discusses Tim Finin's program that uses Winston-like models to recognize objects that match the model even when parts of the object are obscured. It uses hypotheses about dimensions of the objects that it can not directly observe. 1975??. (more)
• Eric Horvitz with Microsoft Research on “Surprise Modeling”.
  Eric Horvitz, head of the Adaptive Systems and Interaction group at Microsoft Research, talks about surprise modeling. 2008?. (more)
• Lighthill Controversy Debate at the Royal Institution with Professor Sir James Lighthill, Professor Donald Michie, Professor Richard Gregory and Professor John McCarthy.
  Professors Donald Michie [Edinburgh], Richard Gregory [Bristol] and John McCarthy [Stanford] challenge the pessimistic findings & views of Professor Sir James Lighthill [Cambridge], author of "The Lighthill Report" [Artificial Intelligence: A General Survey, in Artificial Intelligence: a paper symposium, Science Research Council (1973)]. June 1973. (more)
• Linking Brains, Computers.
  Because it has been around for such a long time, and has either misled or annoyed so many people over the years, it ought to have a name. Let's call it the Synapse Equivalency Fallacy. Synapses are the interconnections between the neurons that make up the brain and nervous system. The fallacy occurs when a writer likens the transistors in a computer to the synapses in a brain, usually as part of an effort to make computers seem like brains. July 09, 2008. (more)
• Mind Reading.
  “As pollsters have so well demonstrated this presidential primary season, reading minds, whether of voters or the person next to you, is close to impossible. However as this ScienCentral News video explains, scientists are actually one step closer to reading our thoughts. … [T]he new research is aimed at the biology underlying thoughts-- or, as scientists call them, ‘cognitive processes.’ Carnegie Mellon cognitive psychologist Marcel Just teamed up with machine learning expert Tom Mitchell to conduct the research.” February 2, 2008. (more)
• Reflections on Science (series): Creativity and Computers - a discussion with Margaret Boden, University of Sussex..
  "The concept of creativity from the point of view of how original ideas develop is explored with the aid of recent advances in computer modelling programming strategies. Featuring some beautiful examples, Margaret [Boden] addresses the question, can computers ever be truly creative?" Hosted by Mike Bullivant, a scientist at the Open University. 1998. (more)
• Scientific American Frontiers with Alan Alda: "Almost Human" segment from the "Robots Alive!" broadcast.
  Rodney Brooks is beginning to build the first robot with human-like senses, allowing it to learn about the world for itself, like a human baby. April 9, 1997. (more)
• Scientific American Frontiers with Alan Alda: "Alpha Wolf" segment from "The Intimate Machine" broadcast.
  Researchers build artificial intelligence software modeled on the canine mind. October 22, 2002. (more)
• Scientific American Frontiers with Alan Alda: "Robots Have Feelings, Too" segment from the "Natural Born Robots" broadcast.
  SAGE, Bit and Kismet are robots with social skills. Researchers hope robotic emotions will make tomorrow's technology more user-friendly. November 2, 1999. (more)
• Soar: excerpt from Allen Newell's William James Lectures.
  Allen Newell explains the Soar architecture. March 11, 1987. (more)
• Symbol System: excerpt from AI: What Can it Do? Where is it Going?.
  Herbert A. Simon explains the hypothesis that intelligent behavior (be it humans or computers) requires the ability to deal with symbols/patterns. March 21, 1990. (more)
• TED Conference - Hod Lipson: Robots that are "self-aware".
  “Hod Lipson demonstrates a few of his cool little robots, which have the ability to learn, understand themselves and even self-replicate. At the root of this uncanny demo is a deep inquiry into the nature of how humans and living beings learn and evolve, and how we might harness these processes to make things that learn and evolve.”. March 10, 2008. (more)
• The Next Big Thing (Series Two): Machines with Minds.
  Real moving, interacting robots is one promising direction in artificial intelligence. But what about the original hope of matching human performance, and what has A.I. told us about the human brain? When science of artificial intelligence was launched in the 50s, its goal was to match the intellectual achievements of human beings. Why isn't machine intelligence already far superior to that of people? Chaired by Colin Blakemore [Oxford University], the panel consists of Professor Aaron Sloman (University of Birmingham), Dr Amanda Sharkey (University of Sheffield), and Professor Igor Aleksander (Imperial College). 2002. (more)
• The Painting Fool.
  Simon Colton lecture on The Painting Fool. Winner of the 2007 Machine Intelligence Competition. December 11, 2007. (more)
• Tower of Hanoi: excerpt from A Conversation with Herbert Simon – A Video Tribute by Julia Love.
  Herbert A. Simon uses the Tower of Hanoi puzzle to illustrate how human problem solving is studied. (more)
• USC Presents...Closer To Truth: What is Consciousness?
  "What is Consciousness – our inner thoughts, feelings, personalities -- the hidden 'Stuff' of our Private Selves? Is there something special about Consciousness, something of the mind not in the brain? This is self awareness, the interior mental experience we call Consciousness. What is the importance of studying Consciousness? The panel discusses the concept of human consciousness." August 8, 2004. (more)
• Unified Theory of Cognition: excerpt from Allen Newell's William James Lectures.
  Excerpt from lecture by Allen Newell. February 18, 1987. (more)
• Visual Elements in Robotics: excerpt from "AI: What Can it Do? Where is it Going?".
  Excerpt from lecture by Herbert A. Simon. March 21, 1990. (more)
• Washburn Lecture Series at the Museum of Science, Boston: "2001: A Space Odyssey. Are we there yet?" Lecture one (of three) - Human/Computer Conversation: HAL and Beyond, with Justine Cassell, Ph.D..
  Justine Cassell's lecture, "Human/Computer Conversation: HAL and Beyond," was the first in the three speaker lecture series: "2001: A Space Odyssey. Are we there yet?" November 6, 2001. (more)
• Wired Science: Face Reader.
  "Ziya Tong meets children with Asperger’s Syndrome testing a new MIT Media Lab device that reads facial expressions." In the course of the report she discusses the project with several individuals including Rana el Kaliouby Ph.D. (Mindreader Software Developer, MIT)); Alea Teeters (MIT Affective Computing Group), and Rosalind Picard, Ph.D. (Director, MIT Affective Computing Group). October 3, 2007. (more)