Comparison of cognitive architectures. Copycat (software) Copycat is a model of analogy making and human cognition based on the concept of the parallel terraced scan, developed in 1988 by Douglas Hofstadter, Melanie Mitchell, and others at the Center for Research on Concepts and Cognition, Indiana University Bloomington.
The original Copycat was written in Common Lisp and is bitrotten (as it relies on now-outdated graphics libraries); however, a Java port exists. Copycat produces answers to such problems as "abc is to abd as ijk is to what? " (abc:abd :: ijk:?). Hofstadter and Mitchell consider analogy making as the core of high-level cognition, or high-level perception, as Hofstadter calls it, basic to recognition and categorization. High-level perception emerges from the spreading activity of many independent processes, called codelets, running in parallel, competing or cooperating. Comparative Repository of Cognitive Architectures. Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind. The Emotion Machine. The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind  is a book by cognitive scientist Marvin Lee Minsky.
The book is a sequel to Minsky's earlier book Society of Mind. Minsky argues that emotions are different ways to think that our mind uses to increase our intelligence. ASLab SOUL Project funded by IST ICEA and MEC C3 - Home.
Structure of Intelligence Table of Contents. Why Cognition-as-a-Service is the next operating system battlefield. The Semantic Web may have failed, but higher intelligence is coming to applications anyway, in another form: Cognition-as-a-Service (CaaS).
And this may just be the next evolution of the operating system. Cyc. The project was started in 1984 by Douglas Lenat at MCC and is developed by the Cycorp company.
Parts of the project are released as OpenCyc, which provides an API, RDF endpoint, and data dump under an open source license. Overview Cognitive architecture. Réseau de concepts. Un article de Wikipédia, l'encyclopédie libre.
Pour les articles homonymes, voir Réseau. En mathématiques, un réseau de concepts est un graphe entièrement connexe dont les nœuds ont une valeur symbolique (un texte, une chaîne de caractères), et une activation. Les liens entre ces nœuds sont pondérés et orientés, de sorte qu'ils puissent représenter l'influence d'un nœud sur un autre. Définition[modifier | modifier le code] Le réseau de concepts est le modèle de BAsCET, il correspond au Slipnet de Copycat; une de ses particularités est d'être dynamique, c'est-à-dire qu'il évolue au cours du temps pour s'adapter au problème.
On peut dire qu'il fonctionne par association de nœuds (si un nœud est actif et qu'il est fortement lié à un autre nœud, il l'activera), et par extension, si l'on construit le réseau de concepts d'une certaine manière, par association de symboles et émergence de concepts. Chaque nœud du réseau possède les champs suivants : Biologically inspired cognitive architectures. Biologically Inspired Cognitive Architectures (BICA) was a DARPA project administered by the Information Processing Technology Office (IPTO) which began in 2005 and is designed to create the next generation of Cognitive architecture models of human artificial intelligence.
Its first phase (Design) ran from September 2005 to around October 2006, and was intended to generate new ideas for biological architectures that could be used to create embodied computational architectures of human intelligence. The second phase (Implementation) of BICA was set to begin in the spring of 2007, and would have involved the actual construction of new intelligent agents that live and behave in a virtual environment.
However, this phase was canceled by DARPA, reportedly because it was seen as being too ambitious. Now BICA is a transdisciplinary study that aims to design, characterise and implement human-level cognitive architectures. External links References Scientists Afflict Computers with Schizophrenia to Better Understand the Human Brain. May 5, 2011 AUSTIN, Texas — Computer networks that can't forget fast enough can show symptoms of a kind of virtual schizophrenia, giving researchers further clues to the inner workings of schizophrenic brains, researchers at The University of Texas at Austin and Yale University have found.
The researchers used a virtual computer model, or "neural network," to simulate the excessive release of dopamine in the brain. They found that the network recalled memories in a distinctly schizophrenic-like fashion. Their results were published in April in Biological Psychiatry. Introduction. JAYET Arnaud Maîtrise de sciences cognitives Année 2002 – 2003 « Affective Computing » : Apport des Processus Emotionnels aux Systèmes Artificiels.
ACT-R. Most of the ACT-R basic assumptions are also inspired by the progress of cognitive neuroscience, and ACT-R can be seen and described as a way of specifying how the brain itself is organized in a way that enables individual processing modules to produce cognition.
Inspiration What ACT-R looks like This means that any researcher may download the ACT-R code from the ACT-R website, load it into a Lisp distribution, and gain full access to the theory in the form of the ACT-R interpreter.
In Natural Networks, Strength in Loops. Examine the delicate branching patterns on a leaf or a dragonfly’s wing and you’ll see a complex network of nested loops.
This pattern can be found scattered throughout nature and structural engineering: in the brain’s cerebral vasculature, arrays of fungi living underground, the convoluted shape of a foraging slime mold and the metal bracings of the Eiffel Tower. The Eiffel Tower incorporates many nested loops, designed to distribute strain over the structure. Loop architectures, like redundant computer networks or electrical grids, make structures resistant to damage.
As Marcelo Magnasco, a physicist at Rockefeller University, points out, the Eiffel Tower is a clear example of loop construction, designed to maximize the distribution of strain across its recursive frame. But for all the natural examples of loop design, surprisingly little is known about why the networks in leaves and the cortical blood vessels are organized in this way. To Build a Leaf. Brain Power. Scientists at IBM research unveil a brain-inspired computer and ecosystem Cognitive computing aims to emulate the human brain’s abilities for perception, action and cognition. The neurosynaptic chip, designed to emulate the neurons and synapses in the human brain, breaks path with traditional architectures used for the last 70 years. Click the plus signs for additional information, including photos and video. Introducing a Brain-inspired Computer. Ricardo Sanz Home Page - Biologically Inspired Cognitive Architectures 2011.
The Biologically Inspired Cognitive Architectures 2011 Conference took place at Washington, USA on 4-6 November 2011. The challenge of creating a real-life computational equivalent of the human mind calls for our joint efforts to better understand at a computational level how natural intelligent systems develop their cognitive and learning functions. BICA conference grew up from a AAAI Fall symposium, focusing on the emergent hot topics in computer, brain and cognitive sciences unified by the challenge of replicating the human mind in a computer.
Alex Wissner-Gross: A new equation for intelligence. Autonomous Systems Laboratory - Home. An ASLab Research Seminar for Autonomous Systems Ricardo Sanz Place: Aula de Seminarios de Automática Time: December 12, 2013 / 12:30-14:00. Hierarchy of Cognitive Architectures. Liste de concepts logiques. Marvin Minsky. Marvin Lee Minsky (born August 9, 1927) is an American cognitive scientist in the field of artificial intelligence (AI), co-founder of Massachusetts Institute of Technology's AI laboratory, and author of several texts on AI and philosophy. Biography Isaac Asimov described Minsky as one of only two people he would admit were more intelligent than he was, the other being Carl Sagan. Probably no one would ever know this; it did not matter. The AI Genealogy Project. Perceptron. The perceptron algorithm was invented in 1957 at the Cornell Aeronautical Laboratory by Frank Rosenblatt. Definition
Artificial senses. IBM launches functioning brain-inspired chip. IBM neurosynaptic chip (credit: IBM) IBM announced today, August 7, the first computer chip to achieve one million programmable “neurons,” 256 million programmable “synapses,” and 46 billion “synaptic operations” per second per watt — simulating the function of neurons and synapses in the brain.* Neurosynaptic. What is RoboEarth?