The Turing Ratio - Journal of Evolution and Technology
... the complexity class NP; we don’t mind arbitrarily complex solution strategies being used for a task, as long as we can verify the resulting task performance level using an implementable algorithm. In contrast to an Absolute Turing Ratio, a Relative Turing Ratio result needs to specify the opponent ...
... the complexity class NP; we don’t mind arbitrarily complex solution strategies being used for a task, as long as we can verify the resulting task performance level using an implementable algorithm. In contrast to an Absolute Turing Ratio, a Relative Turing Ratio result needs to specify the opponent ...
“Intelligent” Agents
... urban streets. • It is time to thing about a new AI that considers intelligence as a whole, and not only for pre-specified applications… Dr. Oubbati, Kybernetik (Neuroinformatik, Uni-Ulm) ...
... urban streets. • It is time to thing about a new AI that considers intelligence as a whole, and not only for pre-specified applications… Dr. Oubbati, Kybernetik (Neuroinformatik, Uni-Ulm) ...
Request for Information: Artificial Intelligence
... It should be noted that responses to this RFI are non-binding for both the NTA and suppliers who choose to respond. See section 5.8 for information about the process going forward. It should also be noted that any projected requirements listed in this document in future RFIs and/or procurements may ...
... It should be noted that responses to this RFI are non-binding for both the NTA and suppliers who choose to respond. See section 5.8 for information about the process going forward. It should also be noted that any projected requirements listed in this document in future RFIs and/or procurements may ...
Liability for Distributed Artificial Intelligences
... hardware. And we produce, maintain, modify and feed into these linked systems a practically unlimited amount of data.17 The inextricable complexity of essential digital equipment can make life miserable for the humans who are expected to operate the These human operators will not reject the help of ...
... hardware. And we produce, maintain, modify and feed into these linked systems a practically unlimited amount of data.17 The inextricable complexity of essential digital equipment can make life miserable for the humans who are expected to operate the These human operators will not reject the help of ...
Business - Take-A
... – American Association for Artificial Intelligence 1989 to 1994, 1997, 2006 to present (AAAI) – International Who’s Who on the Web 2003-2004 – Honored Member of Empire Who’s Who 2002-2004 – International Who’s Who of Entrepreneurs 2002-2003 ...
... – American Association for Artificial Intelligence 1989 to 1994, 1997, 2006 to present (AAAI) – International Who’s Who on the Web 2003-2004 – Honored Member of Empire Who’s Who 2002-2004 – International Who’s Who of Entrepreneurs 2002-2003 ...
Stefanie Anne Tellex - Researchers @ Brown
... • With collaborators, built a natural language dialog system for a conversational humanoid robot. The robot operated in a table-top environment and understood commands such as “Group the green one and the gray one.” • Created models for the meanings of spatial prepositions such as “near.” Spatial Ro ...
... • With collaborators, built a natural language dialog system for a conversational humanoid robot. The robot operated in a table-top environment and understood commands such as “Group the green one and the gray one.” • Created models for the meanings of spatial prepositions such as “near.” Spatial Ro ...
A Rule-Based Expert System for Mineral Identification
... The emerging knowledge-driven dictate of the economy has no boundary. The use of Information and Communication Technology (ICT) has enhanced applications of knowledge-based expert system. The idea is that human expert is programmed into the machine in form of an Artificial Intelligence (AI). This wo ...
... The emerging knowledge-driven dictate of the economy has no boundary. The use of Information and Communication Technology (ICT) has enhanced applications of knowledge-based expert system. The idea is that human expert is programmed into the machine in form of an Artificial Intelligence (AI). This wo ...
Artificial Intelligence and Consciousness - Computer Science
... the material he contributed to (Hofstadter & Dennett, 1981). Most of he what he writes seems to be intended to stimulate or tantalize one’s thinking about the problem. For example, in (Hofstadter, 1979) there is a chapter (reprinted in (Hofstadter & Dennett, 1981)) in which characters talk to an ant ...
... the material he contributed to (Hofstadter & Dennett, 1981). Most of he what he writes seems to be intended to stimulate or tantalize one’s thinking about the problem. For example, in (Hofstadter, 1979) there is a chapter (reprinted in (Hofstadter & Dennett, 1981)) in which characters talk to an ant ...
toward memory-based reasoning - Computer Science, Columbia
... processor compute a numerical "distance" and a nu merical "weight" for each predictor in its record as a function of the new patient's value for that predic tor;5 (3) having each processor use these weights and distances to compute a total distance measure from each record to that of the new patie ...
... processor compute a numerical "distance" and a nu merical "weight" for each predictor in its record as a function of the new patient's value for that predic tor;5 (3) having each processor use these weights and distances to compute a total distance measure from each record to that of the new patie ...
Artificial Intelligence and Expert Systems
... AI is many different sciences and technologies It is a collection of concepts and ideas ...
... AI is many different sciences and technologies It is a collection of concepts and ideas ...
Robotics
... Machines beat humans at perfect information games but not yet at imperfect information ...
... Machines beat humans at perfect information games but not yet at imperfect information ...
Megan Reichlen
... guess of the remaining path cost is always added to the path cost so far. This creates an estimation of the total path as the measure of each node. As long as the heuristic is admissible, or never overestimates the actual cost of the path, this is called an A* search. A* is complete, so it will alwa ...
... guess of the remaining path cost is always added to the path cost so far. This creates an estimation of the total path as the measure of each node. As long as the heuristic is admissible, or never overestimates the actual cost of the path, this is called an A* search. A* is complete, so it will alwa ...
Joseph Ransdell
... solutions to the same problem; Bush and Turing were attacking entirely different problems, and so their respective solutions do not directly conflict with each other; but: Third, the two constructs embody different conceptions of the human mind in general and of human-machine interaction in particul ...
... solutions to the same problem; Bush and Turing were attacking entirely different problems, and so their respective solutions do not directly conflict with each other; but: Third, the two constructs embody different conceptions of the human mind in general and of human-machine interaction in particul ...
6.034 Artificial Intelligence by T. Lozano
... Another way to look at the process we have just gone through is as a form of tree search. In this search space, the states are goals, that is, the literals that appear on our stack. The edges (shown with a green dot in the middle of each edge) are the rules or facts. However, there is one complicati ...
... Another way to look at the process we have just gone through is as a form of tree search. In this search space, the states are goals, that is, the literals that appear on our stack. The edges (shown with a green dot in the middle of each edge) are the rules or facts. However, there is one complicati ...
An algorithm for inducing least generalization under relative
... other algorithms, which are very well studied with respect to their complexity. These are the unification algorithm and the resolution procedure. In our experimental implementation of the algorithm we use Prolog, a language in which these algorithms are built-in. Thus the examples we discussed in th ...
... other algorithms, which are very well studied with respect to their complexity. These are the unification algorithm and the resolution procedure. In our experimental implementation of the algorithm we use Prolog, a language in which these algorithms are built-in. Thus the examples we discussed in th ...
Knowledge Representation and Reasoning
... tolerance of action theories [58]. Together with his colleagues, Kakas has extended the Language E to a new language, called Modular E, where an integrated solution to all three major problems in RAA (frame,ramification and qualification problems) is given. This new language exhibits a high degree ...
... tolerance of action theories [58]. Together with his colleagues, Kakas has extended the Language E to a new language, called Modular E, where an integrated solution to all three major problems in RAA (frame,ramification and qualification problems) is given. This new language exhibits a high degree ...
The errors, insights and lessons of famous AI predictions
... have isolated the task characteristics in which experts tend to have good judgement – and the results of that literature strongly imply that AI predictions are likely to be very unreliable, at least as far as timeline predictions (‘date until AI’) are concerned. That theoretical result is born out i ...
... have isolated the task characteristics in which experts tend to have good judgement – and the results of that literature strongly imply that AI predictions are likely to be very unreliable, at least as far as timeline predictions (‘date until AI’) are concerned. That theoretical result is born out i ...
Chapter 9: Information, Decision Support, Artificial Intelligence, and
... Computers with ability to mimic or duplicate the functions of the human brain Advances in AI Have led to systems that work like the human brain to recognize complex patterns ...
... Computers with ability to mimic or duplicate the functions of the human brain Advances in AI Have led to systems that work like the human brain to recognize complex patterns ...
Neural Networks
... Number of Features training time is directly related to the number of input features as the number of features increases, the network becomes more likely to converge to an inferior solution eg. first use statistical correlation or decision trees to determine which features are likely to be more impo ...
... Number of Features training time is directly related to the number of input features as the number of features increases, the network becomes more likely to converge to an inferior solution eg. first use statistical correlation or decision trees to determine which features are likely to be more impo ...
IACAP Newsletter 2011-1 - International Association for Computing
... Charlie Ess is retiring from the treasurer's position after more years than I can remember. I wish to express a special word of thanks to both of these members as well. Charlie Ess also oversaw our first International Conference at the University of Aarhus in Denmark this past July, with the help of ...
... Charlie Ess is retiring from the treasurer's position after more years than I can remember. I wish to express a special word of thanks to both of these members as well. Charlie Ess also oversaw our first International Conference at the University of Aarhus in Denmark this past July, with the help of ...
IOSR Journal of Computer Engineering (IOSRJCE)
... rules and data can be called upon when needed to solve problems. Books and manual guides have a tremendous amount of knowledge but a human has to read and interpret the knowledge for it to be used. A computer program designed to model the problem solving ability of a human expert. Expert systems and ...
... rules and data can be called upon when needed to solve problems. Books and manual guides have a tremendous amount of knowledge but a human has to read and interpret the knowledge for it to be used. A computer program designed to model the problem solving ability of a human expert. Expert systems and ...
Lecture_1 - Recherche : Service web
... simulate the way human act in their environment, interact with one another, cooperatively solve problems or act on behalf of others, solve more and more complex problems by distributing tasks or enhance their problem solving performances by competition. ...
... simulate the way human act in their environment, interact with one another, cooperatively solve problems or act on behalf of others, solve more and more complex problems by distributing tasks or enhance their problem solving performances by competition. ...
CS607_Midterm_Spring20151
... If we analyze the various types of knowledge we using every day life, we can broadly define knowledge to be one of the following categories: •Procedural knowledge: Describes how to do things, provides a set of directions of how to perform certain tasks, e.g., how to drive a car. •Declarative knowled ...
... If we analyze the various types of knowledge we using every day life, we can broadly define knowledge to be one of the following categories: •Procedural knowledge: Describes how to do things, provides a set of directions of how to perform certain tasks, e.g., how to drive a car. •Declarative knowled ...
Personified Systems - Eldacur Technologies
... Artificial General Intelligence - An AGI is a system that is fully capable of performing any cognitive function that a human being could perform. This is sometimes referred to as “strong AI”, to distinguish it from specialized systems that can perform only some functions, such as play chess or “Jeop ...
... Artificial General Intelligence - An AGI is a system that is fully capable of performing any cognitive function that a human being could perform. This is sometimes referred to as “strong AI”, to distinguish it from specialized systems that can perform only some functions, such as play chess or “Jeop ...