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List Of Artificial Intelligence Projects
The following is a list of current and past, non-classified notable artificial intelligence projects. Specialized projects Brain-inspired * Blue Brain Project, an attempt to create a synthetic brain by reverse-engineering the mammalian brain down to the molecular level. * Google Brain, a deep learning project part of Google X attempting to have intelligence similar or equal to human-level. * Human Brain Project, ten-year scientific research project, based on exascale supercomputers. Cognitive architectures * 4CAPS, developed at Carnegie Mellon University under Marcel A. Just * ACT-R, developed at Carnegie Mellon University under John R. Anderson. * AIXI, Universal Artificial Intelligence developed by Marcus Hutter at IDSIA and ANU. * CALO, a DARPA-funded, 25-institution effort to integrate many artificial intelligence approaches (natural language processing, speech recognition, machine vision, probabilistic logic, planning, reasoning, many forms of machine learning) into an ...
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Artificial Intelligence
Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machines, as opposed to intelligence displayed by animals and humans. Example tasks in which this is done include speech recognition, computer vision, translation between (natural) languages, as well as other mappings of inputs. The ''Oxford English Dictionary'' of Oxford University Press defines artificial intelligence as: the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. AI applications include advanced web search engines (e.g., Google), recommendation systems (used by YouTube, Amazon and Netflix), understanding human speech (such as Siri and Alexa), self-driving cars (e.g., Tesla), automated decision-making and competing at the highest level in strategic game systems (such as chess and Go). ...
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Machine Vision
Machine vision (MV) is the technology and methods used to provide imaging-based automatic inspection and analysis for such applications as automatic inspection, process control, and robot guidance, usually in industry. Machine vision refers to many technologies, software and hardware products, integrated systems, actions, methods and expertise. Machine vision as a systems engineering discipline can be considered distinct from computer vision, a form of computer science. It attempts to integrate existing technologies in new ways and apply them to solve real world problems. The term is the prevalent one for these functions in industrial automation environments but is also used for these functions in other environment vehicle guidance. The overall machine vision process includes planning the details of the requirements and project, and then creating a solution. During run-time, the process starts with imaging, followed by automated analysis of the image and extraction of the requir ...
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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 thCenter 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 for Lucid Common Lisp); however, Java and Python ports exist. The latest version in 2018 is Python3 portby Lucas Saldyt and J. Alan Brogan. Description 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. They create and destroy ...
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JACK Intelligent Agents
JACK Intelligent Agents is a framework in Java for multi-agent system development. JACK Intelligent Agents was built by Agent Oriented Software Pty. Ltd. (AOS) and is a third generation agent platform building on the experiences of the Procedural Reasoning System (PRS) and Distributed Multi-Agent Reasoning System (dMARS). JACK is one of the few multi-agent systems that uses the BDI software model and provides its own Java-based plan language and graphical planning tools. History JACK Intelligent Agents was initially developed in 1997 by ex-members of the Australian Artificial Intelligence Institute (AAII or A2I2) who were involved in the design, implementation, and application of PRS at SRI International and/or dMARS at the AAII. The JACK platform was written for commercial application of the multi-agent paradigm (a COTS product) to complex problem solving and was the basis for starting the company Agent Oriented Software (AOS) where it remains the flagship product. Featu ...
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Rensselaer Polytechnic Institute
Rensselaer Polytechnic Institute () (RPI) is a private research university in Troy, New York, with an additional campus in Hartford, Connecticut. A third campus in Groton, Connecticut closed in 2018. RPI was established in 1824 by Stephen Van Rensselaer and Amos Eaton for the "application of science to the common purposes of life" and is the oldest technological university in the English-speaking world and the Western Hemisphere. Built on a hillside, RPI's campus overlooks the city of Troy and the Hudson River, and is a blend of traditional and modern architecture. The institute operates an on‑campus business incubator and the Rensselaer Technology Park. RPI is organized into six main schools which contain 37 departments, with emphasis on science and technology. It is classified among "R1: Doctoral Universities: Very High Research Activity" and many of its engineering programs are highly ranked. As of 2017, RPI's faculty and alumni included 6 members of the National Inve ...
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Ron Sun
Ron Sun is a cognitive scientist who made significant contributions to computational psychology and other areas of cognitive science and artificial intelligence. He is currently professor of cognitive sciences at Rensselaer Polytechnic Institute, and formerly the James C. Dowell Professor of Engineering and Professor of Computer Science at University of Missouri. He received his Ph.D. in 1992 from Brandeis University. Overview His many research interests center around the study of human cognition and psychology, especially in the areas of cognitive architectures, human reasoning and learning, cognitive social simulation, and hybrid connectionist-symbolic models. Over the years, his work has been wide-ranging, and spans cognitive science, psychology, philosophy, computer science, artificial intelligence, and social sciences. He has been known for his work in cognitive modeling ( computational psychology). For his paper on integrating rule-based and connectionist models for acc ...
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CLARION (cognitive Architecture)
Connectionist Learning with Adaptive Rule Induction On-line (CLARION) is a computational cognitive architecture that has been used to simulate many domains and tasks in cognitive psychology and social psychology, as well as implementing intelligent systems in artificial intelligence applications. An important feature of CLARION is the distinction between implicit and explicit processes and focusing on capturing the interaction between these two types of processes. The system was created by the research group led by Ron Sun. Overview CLARION is an integrative cognitive architecture, it is used to explain and simulate cognitive-psychological phenomena, which could potentially lead to an unified explanation of psychological phenomena. There are three layers to the CLARION theory, the first layer is the core theory of mind. The main theories consists of a number of distinct subsystems, which are the essential structures of CLARION, with a dual representational structure in each subs ...
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University Of Hertfordshire
The University of Hertfordshire (UH) is a public university in Hertfordshire, United Kingdom. The university is based largely in Hatfield, Hertfordshire. Its antecedent institution, Hatfield Technical College, was founded in 1948 and was identified as one of 25 Colleges of Technology in the United Kingdom in 1959. In 1992, Hatfield Polytechnic was granted university status by the British government and subsequently renamed University of Hertfordshire. It is one of the post-1992 universities. Hertfordshire is mainly based at two campuses - College Lane and de Havilland. As of 2021, it has over 25,130 students, including more than 5,200 international students that together represent 100 countries. The university is one of Hertfordshire's largest employers with over 2,700 staff, 812 of whom are academic members of staff. It has a turnover of more than £235 million. The university has 9 schools: Hertfordshire Business School, Computer Science, Creative Arts, Education, Health and ...
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Brunel University
Brunel University London is a public research university located in the Uxbridge area of London, England. It was founded in 1966 and named after the Victorian engineer and pioneer of the Industrial Revolution, Isambard Kingdom Brunel. In June 1966, Brunel College of Advanced Technology was awarded a royal charter and became Brunel University. The university is often described as a British plate glass university. Brunel is organised into three colleges, a structure adopted in August 2014 which also changed the university's name to Brunel University London. Brunel has over 16,150 students and 2,500 staff, and had a total income of £237 million in 2019–20, of which 30% came from grants and research contracts. Brunel has three constituent Academic Colleges: the College of Business, Arts and Social Sciences; the College of Engineering, Design and Physical Sciences; and the College of Health, Medicine and Life Sciences. Brunel is a member of the Association of Commonwealth Universi ...
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Fernand Gobet
Fernand Gobet (born February 12, 1962 in Switzerland) is a cognitive scientist and a cognitive psychologist, currently Professor of Cognitive Psychology at the London School of Economics. His research interests focus on the study of cognition, especially in the areas of cognitive architectures, perception, intuition, problem solving, learning and decision making. He has developed the CHREST cognitive architecture, an acronym for Chunk Hierarchy and REtrieval STructures, which is a complete architecture for the processes of learning and perception used by humans. He is a chess International Master, and played numerous times for the Swiss national team. He was co-editor of the Swiss Chess Review from 1981 to 1989. His Elo rating The Elo rating system is a method for calculating the relative skill levels of players in zero-sum games such as chess. It is named after its creator Arpad Elo, a Hungarian-American physics professor. The Elo system was invented as an improved ch ... is 24 ...
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CHREST
CHREST (Chunk Hierarchy and REtrieval STructures) is a symbolic cognitive architecture based on the concepts of limited attention, limited short-term memories, and chunking. The architecture takes into low-level aspects of cognition such as reference perception, long and short term memory stores, and methodology of problem-solving and high-level aspects such as the use of strategies. Learning, which is essential in the architecture, is modelled as the development of a network of nodes ( chunks) which are connected in various ways. This can be contrasted with Soar and ACT-R, two other cognitive architectures, which use productions for representing knowledge. CHREST has often been used to model learning using large corpora of stimuli representative of the domain, such as chess games for the simulation of chess expertise or child-directed speech for the simulation of children's development of language. In this respect, the simulations carried out with CHREST have a flavour closer to t ...
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Machine Learning
Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, agriculture, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.Hu, J.; Niu, H.; Carrasco, J.; Lennox, B.; Arvin, F.,Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning IEEE Transactions on Vehicular Technology, 2020. A subset of machine learning is closely related to computational statistics, which focuses on making predicti ...
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