RTF - University of Michigan
... To enable decentralized development of large societies of agents, agents should be able to selectively team with others based on declarative descriptions of services, rather than a priori knowledge. 1 This capability is difficult to achieve because descriptions written by different developers may be ...
... To enable decentralized development of large societies of agents, agents should be able to selectively team with others based on declarative descriptions of services, rather than a priori knowledge. 1 This capability is difficult to achieve because descriptions written by different developers may be ...
View PDF - CiteSeerX
... knowingly, exclusively on hill-climbing programs. The time saved and confidence gained by performing an automated search are significant. Even if the results of the search are not themselves conclusive they do provide a muchmore informed result in a shorter time than would have been otherwise possib ...
... knowingly, exclusively on hill-climbing programs. The time saved and confidence gained by performing an automated search are significant. Even if the results of the search are not themselves conclusive they do provide a muchmore informed result in a shorter time than would have been otherwise possib ...
full list of publications - American University of Beirut
... 4. Saba, W. S. (2002), Mental States of Autonomous Agents in Cooperative and Competitive Environments, In Hendtlass, T. and Ali, M. (Eds.), Developments in Applied Artificial Intelligence (Proc. of the 15th Int. Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert ...
... 4. Saba, W. S. (2002), Mental States of Autonomous Agents in Cooperative and Competitive Environments, In Hendtlass, T. and Ali, M. (Eds.), Developments in Applied Artificial Intelligence (Proc. of the 15th Int. Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert ...
The Turing Test - Department of Computer Science
... ii. Hollow shell criticism. Computer may pass test, but computers still won’t be able to think. As we shall see (on i) computers arent doing badly and are getting better. On (ii) the answer just begs the question as to what thinking is--which was Turing’s point in the first place! ...
... ii. Hollow shell criticism. Computer may pass test, but computers still won’t be able to think. As we shall see (on i) computers arent doing badly and are getting better. On (ii) the answer just begs the question as to what thinking is--which was Turing’s point in the first place! ...
What Does it Mean to be Human?
... optimist, because no one really knows. Twenty years ago, very few people envisioned the rise of information technology. On the other hand, many did predict an incredible transformation in home life and transportation, and those changes have moved very slowly. Jon: In the long run, there is no stoppi ...
... optimist, because no one really knows. Twenty years ago, very few people envisioned the rise of information technology. On the other hand, many did predict an incredible transformation in home life and transportation, and those changes have moved very slowly. Jon: In the long run, there is no stoppi ...
artificial intelligence for 3d path finding
... are often of high variability and scalability. Furthermore, the problems are processed in a restricted domain and the results are generally easy to evaluate. Not only has AI found its way into computer games, the way it is being incorporated in games has becomes different over the years too. Traditi ...
... are often of high variability and scalability. Furthermore, the problems are processed in a restricted domain and the results are generally easy to evaluate. Not only has AI found its way into computer games, the way it is being incorporated in games has becomes different over the years too. Traditi ...
Press Release
... EDMONTON (March 2, 2017, 12pm MST)—A team of computing scientists from the University of Alberta's Computer Poker Research Group is once again capturing the world's collective fascination with artificial intelligence. In a historic result for the flourishing AI research community, the team—which inc ...
... EDMONTON (March 2, 2017, 12pm MST)—A team of computing scientists from the University of Alberta's Computer Poker Research Group is once again capturing the world's collective fascination with artificial intelligence. In a historic result for the flourishing AI research community, the team—which inc ...
Intelligence - Cognitive Science Department
... “... [the] ability to understand complex ideas, to adapt effectively to the environment, to learn from experience, to engage in various forms of reasoning, to overcome obstacles by taking thought. ... Concepts of ‘intelligence’ are attempts to clarify and organize this complex set of phenomena. Alth ...
... “... [the] ability to understand complex ideas, to adapt effectively to the environment, to learn from experience, to engage in various forms of reasoning, to overcome obstacles by taking thought. ... Concepts of ‘intelligence’ are attempts to clarify and organize this complex set of phenomena. Alth ...
A differentiable approach to inductive logic programming
... rules that model the observed data. The observed data usually contains background knowledge and examples, typically in the form of database relations or knowledge graphs. Inductive logic programming is often combined with use of probabilistic logics, and is a useful technique for knowledge base comp ...
... rules that model the observed data. The observed data usually contains background knowledge and examples, typically in the form of database relations or knowledge graphs. Inductive logic programming is often combined with use of probabilistic logics, and is a useful technique for knowledge base comp ...
Applied Machine Learning for Engineering and Design
... Machine Learning (ML) link these devices to the data they generate through a dizzying array of models and computing architectures. This course helps you make sense of these techniques and understand when and how they can be used for new products, systems, or research directions in engineering. This ...
... Machine Learning (ML) link these devices to the data they generate through a dizzying array of models and computing architectures. This course helps you make sense of these techniques and understand when and how they can be used for new products, systems, or research directions in engineering. This ...
Stuart Russell
... Locus of decision making Even for chess, the human cannot provide, in advance, an individual response for each of 1055 scenarios Delegating to a machine results in different decisions from those the human would make This is true regardless of whether it’s done by human-defined rules or purely a ...
... Locus of decision making Even for chess, the human cannot provide, in advance, an individual response for each of 1055 scenarios Delegating to a machine results in different decisions from those the human would make This is true regardless of whether it’s done by human-defined rules or purely a ...
CURRICULUM VITAE Academic Education Academic Employment
... IAICVINN-93: proceedings of the 10th Israeli Symposium on Artificial intelligence, computer vision, and Neural networks, pages 61-70, December 1993. 6. Rachel Ben-Eliyahu and Luigi Palopoli,"Reasoning with minimal models: Efficient algorithms and applications",In KR-94: proceedings of the 4th Intern ...
... IAICVINN-93: proceedings of the 10th Israeli Symposium on Artificial intelligence, computer vision, and Neural networks, pages 61-70, December 1993. 6. Rachel Ben-Eliyahu and Luigi Palopoli,"Reasoning with minimal models: Efficient algorithms and applications",In KR-94: proceedings of the 4th Intern ...
John McCarthy defines artificial intelligence as
... 6. Say something, in two sentences or less, about Alonzo Church that is at least a little bit interesting from an AI perspective. Alonzo Church was a mathematician who contributed to number, algorithm, and computability theories which lead to Church’s theorem that “states that only recursive functio ...
... 6. Say something, in two sentences or less, about Alonzo Church that is at least a little bit interesting from an AI perspective. Alonzo Church was a mathematician who contributed to number, algorithm, and computability theories which lead to Church’s theorem that “states that only recursive functio ...
The Mathematics of Causal Inference
... Department of Computer Science University of California at Los Angeles ...
... Department of Computer Science University of California at Los Angeles ...
Computer Systems - School of Computer Science
... answer to the description. At this time, operations such as effective utilization (inference) of the knowledge about problem domains and storage (learning) of new knowledge are effected. The generated answer is then converted into a summarized answer by removing unnecessary selfevident information. ...
... answer to the description. At this time, operations such as effective utilization (inference) of the knowledge about problem domains and storage (learning) of new knowledge are effected. The generated answer is then converted into a summarized answer by removing unnecessary selfevident information. ...
A Virtual Archive for the History of AI
... mechanized thought as a metaphor to help clarify the nature of the human mind and of rational thought. In this period there was also important work on probability theory, but serious work on post-Aristotelian logic did not start until the mid-19th century. After Gottlob Frege’s 1879 publication crea ...
... mechanized thought as a metaphor to help clarify the nature of the human mind and of rational thought. In this period there was also important work on probability theory, but serious work on post-Aristotelian logic did not start until the mid-19th century. After Gottlob Frege’s 1879 publication crea ...
document - Greensprings School
... Output devices: for example, claws, wheels, motors, relays, speakers Robot, android, cyborg Sensors: for example, heat, proximity, magnetism, light, humidity, pH Artificial intelligence Artificial intelligence versus computational intelligence Man or machine: Turing test, CAPTCHA (completely ...
... Output devices: for example, claws, wheels, motors, relays, speakers Robot, android, cyborg Sensors: for example, heat, proximity, magnetism, light, humidity, pH Artificial intelligence Artificial intelligence versus computational intelligence Man or machine: Turing test, CAPTCHA (completely ...
roadmapping a us-german agenda for artificial intelligence policy
... relationship. Both the U.S. and Germany are highly industrialized countries striving to understand the impact of digitalization and new forms of data analytics. The emergence of AI as an integral part of the twenty-first century economy will no doubt have significant implications for the U.S.-German ...
... relationship. Both the U.S. and Germany are highly industrialized countries striving to understand the impact of digitalization and new forms of data analytics. The emergence of AI as an integral part of the twenty-first century economy will no doubt have significant implications for the U.S.-German ...
Turing Test suggests that we base our decision about whether a
... The Halting Problem: will the execution of a program P eventually halt or will it run for ever? Turing (1936) proved that for any algorithm H that purports to solve halting problems there will always be a program Pi such that H will not be able to answer the halting question correctly Hence certain ...
... The Halting Problem: will the execution of a program P eventually halt or will it run for ever? Turing (1936) proved that for any algorithm H that purports to solve halting problems there will always be a program Pi such that H will not be able to answer the halting question correctly Hence certain ...