A Computational Model of Belief - Rochester CS
... between sentences and propositions will be explained in Section 2.5.1, but need not concern us at the moment. These models, in their simplicity, license very little in the way of inference about belief. In these models, a person can believe that roses are red and violets are blue, without believing ...
... between sentences and propositions will be explained in Section 2.5.1, but need not concern us at the moment. These models, in their simplicity, license very little in the way of inference about belief. In these models, a person can believe that roses are red and violets are blue, without believing ...
Artificial Intelligence (AI) Machine Learning and AI Pattern Recognition
... “After WWII, a number of people independently started to work on intelligent machines. The English mathematician Alan Turing may have been the first. He gave a lecture on it in 1947. He also may have been the first to decide that AI was best researched by programming computers rather than by buildin ...
... “After WWII, a number of people independently started to work on intelligent machines. The English mathematician Alan Turing may have been the first. He gave a lecture on it in 1947. He also may have been the first to decide that AI was best researched by programming computers rather than by buildin ...
The computing legacy of Alan M. Turing
... and digital forecast. The computing community worldwide celebrated 2012 as Alan Turing year to honour his contributions and celebrate his lasting scientific influence on computing and the impact of computing on science and society. Indian Academy of Sciences held a special session on 3 November 2012 ...
... and digital forecast. The computing community worldwide celebrated 2012 as Alan Turing year to honour his contributions and celebrate his lasting scientific influence on computing and the impact of computing on science and society. Indian Academy of Sciences held a special session on 3 November 2012 ...
Deployment and dynamic reconfiguration planning for distributed
... There has been a lot of work in the sensing and acting phases [˪3, 4, 6, 15, 16, 28] but much less work on the problem of finding the optimal techniques for planning a reconfiguration [3, 18]. The artificial intelligence (AI) community has been dealing with this kind of problem for a long time, wher ...
... There has been a lot of work in the sensing and acting phases [˪3, 4, 6, 15, 16, 28] but much less work on the problem of finding the optimal techniques for planning a reconfiguration [3, 18]. The artificial intelligence (AI) community has been dealing with this kind of problem for a long time, wher ...
Computational Generation of Dream-like Narrative
... resided in Southern California for most of my life, many of my own dreams take place at the beach or near the ocean, and as such so do many of the dreams generated by the machine, also like the one above. ...
... resided in Southern California for most of my life, many of my own dreams take place at the beach or near the ocean, and as such so do many of the dreams generated by the machine, also like the one above. ...
Ubiquitous Machine Learning
... • The machine learning or data mining is not applied to data about the system, • it is rather part of the information processing capabilities of the system ...
... • The machine learning or data mining is not applied to data about the system, • it is rather part of the information processing capabilities of the system ...
Artificial Intelligence
... Combining Decision Trees & State Machines (1 of 2) • Why? – to avoid duplicating expensive tests in state machine. e.g., assuming “player in sight” is ...
... Combining Decision Trees & State Machines (1 of 2) • Why? – to avoid duplicating expensive tests in state machine. e.g., assuming “player in sight” is ...
Processing and Interaction in Robotics
... Within the knowledge of reality, man performs another intellectual process on the model in order to produce a law. The law is a new created element of the knowledge of reality. The intellectual process from the model to the law is called induction or deduction, depending whether it is a passage fro ...
... Within the knowledge of reality, man performs another intellectual process on the model in order to produce a law. The law is a new created element of the knowledge of reality. The intellectual process from the model to the law is called induction or deduction, depending whether it is a passage fro ...
Computational Intelligence
... is “fired”, i.e. its THEN part is made true, generating new facts and data which in turn causes other rules to “fire”. Reasoning stops when no more new rules can fire. In backward chaining or goal-driven inferencing, a goal to be proved is specified. If the goal cannot be immediately satisfied by ex ...
... is “fired”, i.e. its THEN part is made true, generating new facts and data which in turn causes other rules to “fire”. Reasoning stops when no more new rules can fire. In backward chaining or goal-driven inferencing, a goal to be proved is specified. If the goal cannot be immediately satisfied by ex ...
law and ethics for autonomous weapon systems
... weapons (Article 54(b)(4) of Protocol I) and, second, the rule against weapons that cause unnecessary suffering or superfluous injury (Article 35(2) of Protocol I). These two rules describe the lawfulness of the weapon itself. A weapon is deemed indiscriminate by its very nature if it cannot be aime ...
... weapons (Article 54(b)(4) of Protocol I) and, second, the rule against weapons that cause unnecessary suffering or superfluous injury (Article 35(2) of Protocol I). These two rules describe the lawfulness of the weapon itself. A weapon is deemed indiscriminate by its very nature if it cannot be aime ...
Alan Turing and the development of Artificial Intelligence
... to increase the speed of operations of the machines at all. Parts of modern machines which can be regarded as analogs of nerve cells work about a thousand times faster than the latter. This should provide a “margin of safety” which could cover losses of speed arising in many ways. Our problem then i ...
... to increase the speed of operations of the machines at all. Parts of modern machines which can be regarded as analogs of nerve cells work about a thousand times faster than the latter. This should provide a “margin of safety” which could cover losses of speed arising in many ways. Our problem then i ...
Logic and artificial intelligence - Stanford Artificial Intelligence
... The first serious proposal for an intelligent system with declarative knowledge was by John McCarthy [32]. McCarthy noted the versatility of declaratively represented knowledge: it could be used by the machine even for purposes unforeseen by the machine's designer, it could more easily be modified t ...
... The first serious proposal for an intelligent system with declarative knowledge was by John McCarthy [32]. McCarthy noted the versatility of declaratively represented knowledge: it could be used by the machine even for purposes unforeseen by the machine's designer, it could more easily be modified t ...
Machine Learning Basics: 1. General Introduction
... Chess Playing? Machine Learning Basics: 1. General Introduction ...
... Chess Playing? Machine Learning Basics: 1. General Introduction ...
Machine Learning Basics: 1. General Introduction
... Chess Playing? Machine Learning Basics: 1. General Introduction ...
... Chess Playing? Machine Learning Basics: 1. General Introduction ...
A.I. in Power Systems Alarm Processing
... A power system in a metropolitan area can deliver thousands of alarms per day that can overwhelm human operators. This is an alarm stream which, in periods of high inflow, becomes an ’Alarm Avalanche’ or ’Alarm Flood’ and has been around for 25 years since the advent of the Supervisory Control and D ...
... A power system in a metropolitan area can deliver thousands of alarms per day that can overwhelm human operators. This is an alarm stream which, in periods of high inflow, becomes an ’Alarm Avalanche’ or ’Alarm Flood’ and has been around for 25 years since the advent of the Supervisory Control and D ...
machine intelligence
... The company behind the Robot is called Moley. It is planning to conquer the market in 2017 with a library of 2,000 recipes and the price of the robot is approximately $15,000. The second example ...
... The company behind the Robot is called Moley. It is planning to conquer the market in 2017 with a library of 2,000 recipes and the price of the robot is approximately $15,000. The second example ...
now
... learning-driven game player AlphaGo, which made headlines last year for being the first machine to beat the best human at the game of Go, a game that is significantly more challenging than chess. The applications of machine learning grow by the day. Machine learning has typically been applied to a s ...
... learning-driven game player AlphaGo, which made headlines last year for being the first machine to beat the best human at the game of Go, a game that is significantly more challenging than chess. The applications of machine learning grow by the day. Machine learning has typically been applied to a s ...
Machine Humanity: How the Machine Learning of Today is
... model and recycling its components. There’s a lot of room for error in there, but we can minimize the risk. In the people realm, retaining top-caliber data scientists can be more difficult than attracting them in the first place. You’ve got to make sure they’re working on a variety of interesting ch ...
... model and recycling its components. There’s a lot of room for error in there, but we can minimize the risk. In the people realm, retaining top-caliber data scientists can be more difficult than attracting them in the first place. You’ve got to make sure they’re working on a variety of interesting ch ...
Finite-time Analysis of the Multiarmed Bandit Problem*
... where µ1 , . . . , µ K are the expected values of P1 , . . . , PK . Remark. By choosing α small, the constant of the leading term in the sum (4) gets arbitrarily close to 1/(2 i2 ); however, cα → ∞ as α → 0. The two terms in the sum can be traded-off by letting α = αn be slowly decreasing with the n ...
... where µ1 , . . . , µ K are the expected values of P1 , . . . , PK . Remark. By choosing α small, the constant of the leading term in the sum (4) gets arbitrarily close to 1/(2 i2 ); however, cα → ∞ as α → 0. The two terms in the sum can be traded-off by letting α = αn be slowly decreasing with the n ...
the Future is Now - Machine Learning X
... of cases heard at the European Court of Human Rights, with a 79% accuracy. Lead researcher Dr Nikolaos Aletras, from University College London, told the Today programme the system would not spell the end of judges but could be used to prioritise cases most likely to involve human rights violations. ...
... of cases heard at the European Court of Human Rights, with a 79% accuracy. Lead researcher Dr Nikolaos Aletras, from University College London, told the Today programme the system would not spell the end of judges but could be used to prioritise cases most likely to involve human rights violations. ...
Interpretation of NDTM in the definition of NP 1 Introduction
... b, f (3) = c, f (4) = e, f (5) = d; while for Instance 2, Gp2 is not isomorphic to Gt2 , as there does not exist any isomorphism of Gp2 and Gt2 . Let us look at how a query machine M works (Fig.3). Initially, M is in the initial state q0 and has w as input representing an instance of a problem. Then ...
... b, f (3) = c, f (4) = e, f (5) = d; while for Instance 2, Gp2 is not isomorphic to Gt2 , as there does not exist any isomorphism of Gp2 and Gt2 . Let us look at how a query machine M works (Fig.3). Initially, M is in the initial state q0 and has w as input representing an instance of a problem. Then ...
A Preliminary Investigation of Alien Presence
... Exchanges between people and computers generally occur for limited periods of time. Keyboards and screen displays discourage interaction with a personal computer beyond a few hours. Indeed, current computational systems are not designed for long term exchange with humans, discouraging pleasurable, l ...
... Exchanges between people and computers generally occur for limited periods of time. Keyboards and screen displays discourage interaction with a personal computer beyond a few hours. Indeed, current computational systems are not designed for long term exchange with humans, discouraging pleasurable, l ...
experiments in the variety of being - Home page-
... The subject “God” although not dead, e.g. in Christian theology, is taboo in some circles and passé in others; it is something to be avoided. Here are some possible reasons. The discussion focuses on general and academic sentiments c. 2000 in the English speaking world. The first is the idea of sepa ...
... The subject “God” although not dead, e.g. in Christian theology, is taboo in some circles and passé in others; it is something to be avoided. Here are some possible reasons. The discussion focuses on general and academic sentiments c. 2000 in the English speaking world. The first is the idea of sepa ...
JKB_Paper2_Technological Singularity
... functions in the same way as a human brain. In the film, Dr. Will Caster is shot with a bullet laced with a radioactive element, and is given 1 month to live. In a plight to save her husbands life, Dr. Caster’s wife, Evelyn, “uploads” her husband’s consciousness to the machine. The film raises many ...
... functions in the same way as a human brain. In the film, Dr. Will Caster is shot with a bullet laced with a radioactive element, and is given 1 month to live. In a plight to save her husbands life, Dr. Caster’s wife, Evelyn, “uploads” her husband’s consciousness to the machine. The film raises many ...