AGI System-Building Projects, Total: 21
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AGI System-Building Projects, Total: 21
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AGI System-Building Projects This is a semi-comprehensive list of projects currently taking active steps oriented explicitly toward the creation of general purpose AI. Another list of individuals working on AGI Theory Development Projects, but not currently involved with system-building, is found here. To suggest an AGI project for either list, contact us. Academic(9):
Academic ![]() LIDA Technology - University of Memphis: Dr. Stan Franklin 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. ![]() Embodied Intelligence Laboratory - Michigan State: Juyang Weng The goal of this study is to design the software architecture so that the robot can learn autonomously and effectively through interactions with the environment. The architecture integrates the development of perceptual and cognitive capabilities for vision, audition, touch and behavioral skills. ![]() Human-Level Intelligence Laboratory - Nick Cassimatis Objective: The goal of the Human-Level Intelligence Laboratory is to explain human intelligence and design machines with human-level intelligence. Approach: Our work is based on two hypotheses: 1. A relatively small set of mechanisms underlie human cognition and enable human-level intelligent systems in all domains. 2. The key to implementing these mechanisms is to discover how the mind integrates cognitive and perceptual mechanisms currently best modeled using diverse, difficult-to-integrate algorithms and data structures. ![]() Laboratory for Neuroengineering - Emory & GA Tech: Steve Potter One of seven research groups in the Laboratory for Neuroengineering, the Potter Group is developing new neuroscience technologies for studying learning and memory in vitro. We grow mammalian brain cells in culture on multi-electrode arrays (MEAs), to form a long-term, two-way interface between the cultured networks and a computer. The cultured nets can serve as the 'brain' of simulated animats or robotic creatures. We call these Hybrots, hybrids of living and robotic components. By re-embodying cultured networks, we can allow them to express behaviors, and hopefully, to learn via interactions with their environment. MIT COG Project (Headed by Rodney Brooks) The motivation behind creating Cog is the hypothesis that: Humanoid intelligence requires humanoid interactions with the world. Avoiding flighty anthropomorphism, you can consider Cog to be a set of sensors and actuators which tries to approximate the sensory and motor dynamics of a human body. ![]() NARS (Non-Axiomatic Reasoning System) (Lead by Pei Wang) NARS is an intelligent reasoning system. It can answer questions according to the knowledge originally provided by its user. What makes it different from conventional reasoning systems is its ability to learn from its experience and to work with insufficient knowledge and resources. ![]() SNePS Research Group - U. of Buffalo: Stuart C. Shapiro The long term goal of the SNePS Research Group is to understand the nature of intelligent cognitive processes by developing and experimenting with computational cognitive agents that are able to use and understand natural language, reason, act, and solve problems in a wide variety of domains. The principal research area of the Group is knowledge representation and reasoning (krr) in support of natural-language competent autonomous agents. ![]() SOAR - U. of Michigan Soar is a general cognitive architecture for developing systems that exhibit intelligent behavior. Researchers all over the world, both from the fields of artificial intelligence and cognitive science, are using Soar for a variety of tasks. It has been in use since 1983, evolving through many different versions to where it is now Soar, Version 8.6. ![]() Utah-Brain Project (Headed by Hugo de Garis) I head the Brain Builder Group at the Computer Science Department, of Utah State University (USU), Logan, Utah, USA. My main professional goals over the next few years are to find increasingly evolvable neural net models that I can implement in the latest generation of programmable/evolvable hardware (Xilinx Inc.'s "Virtex" family of FPGA (field programmable gate array) chips) and then to scale up to building the 2nd generation brain building machine (BM2) which should contain about a billion artificial neurons to build an artificial brain. Government ![]() DARPA: Biologically-Inspired Cognitive Architectures - David Gunning The goal of the Biologically-Inspired Cognitive Architectures Program via this BAA is to develop, implement and evaluate psychologically-based and neurobiologically-based theories, design principles, and architectures of human cognition. In a subsequent phase, the program has the ultimate goal of implementing computational models of human cognition that could eventually be used to simulate human behavior and approach human cognitive performance in a wide range of situations. For-Profit ![]() Ai Research - http://www.a-i.com/ Founded to create true artificial intelligence - making it possible for humans and computers to speak to each other in everyday language - Ai is an international project with a research center near Tel Aviv, Israel. ![]() Adaptive A.I. Inc (Founded by Peter Voss) Adaptive A.I. Inc's AGI (Artificial General Intelligence) engine is based on a specific theoretical model of high-level intelligence developed over the past decade. ![]() Artificial Development (Founder, Marcos Guillen) Artificial Development is building CCortex™, an simulation of the Human Cortex and peripheral systems, running on a computer cluster. CCortex will enable the development an array of systems and products that can replicate, partially or completely, some of the primary characteristics of Human Intelligence. Those characteristics include pattern recognition, verbal and visual communication, knowledge acquisition, and conscious-approximate decision-making capabilities. Cycorp Inc. (Founded by Doug Lenat) Cycorp was founded in 1994 to research, develop, and commercialize Artificial Intelligence. Cycorp's vision is to create the world's first true artificial intelligence, having both common sense and the ability to reason with it. ![]() IBM's - Joshua Blue (Headed by Sam S. Adams) The Joshua Blue project at IBM, focuses on achieving the full cognitive capabilities of a human toddler within an embodied machine. Using developmental neurophysiology and developmental psychology as both a set of requirements and a roadmap, the Joshua Blue project attempts to create an embodied system capable of independent emotional cognitive development that mirrors similar development in human infants, from conception to around 3 years of age. ![]() Novamente LLC (Founded by Ben Goertzel) Based in N. Bethesda, MD, Novamente LLC develops software to bridge the gap between narrow and general purpose artificial intelligence. Novamente LLC is focused on creating a powerful Artificial General Intelligence (AGI) software system and then leveraging this system for the profitable creation of software applications in the areas of Natural Language Processing (NLP) and robot cognition. ![]() Numenta (Founded by Jeff Hawkins) Numenta is developing a new type of computer memory system modeled after the human neocortex. The applications of this technology are broad and can be applied to solve problems in computer vision, artificial intelligence, robotics and machine learning. The Numenta technology, called Hierarchical Temporal Memory (HTM), is based on a theory of the neocortex described in Jeff Hawkins' book entitled On Intelligence (with co-author Sandra Blakeslee). ![]() Self-Aware Systems (Founder, Stephen Omohundro) The mission of Self-Aware Systems is to benefit humanity by developing intelligent technology that understands and improves itself. Self-Aware Systems is developing a new kind of software that improves itself by learning. This enables it to be flexible and naturally adapt to changing circumstances. It is the aim of the company to apply this technology to a variety of domains where it provides unique value. Non-Profit ![]() Artificial General Intelligence Research Institute (Founder, Ben Goertzel) AGIRI's nonprofit mission is to foster the creation of powerful and ethically positive Artificial General Intelligence. AGIRI's activities include the general promotion of AGI research, in the academic and commercial communities, the creation, deployment and teaching of AGI software systems, the application of AGI technologies in ethically positive ways, and the study of the theoretical properties of AGI systems, including the interface between AGI and general complex-systems studies, and the potential dynamics of interaction between AGI and society at large. ![]() ----IDSIA: Juergen Schmidhuber's -- Godel Machine, OOPS, and Recurrent Neural Nets Since age 15 or so Prof. Schmidhuber's main scientific ambition has been to build an optimal scientist, then retire. In 2028 they will force him to retire anyway. By then he shall be able to buy hardware providing more raw computing power than his brain. Will the proper self-improving software lag far behind? If so he'd be surprised. This optimism is driving his research on mathematically sound, general purpose universal learning machines and the New AI which is relevant not only for robotics but also for physics. ![]() MindMakers.org - http://www.mindmakers.org The MINDMAKERS.ORG portal is for people collaborating on building large AI systems. It consists of a Project collection, a Forum for disucssions and a Wiki for various member-created pages. |
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