over deliver
... system in 2016, whereby autopilot sensors on the Model S failed to distinguish a white tractortrailer crossing the highway against a bright sky. In this case, it might be claimed that the testing/QA failed to identify this scenario and build sufficient responses to factor it safely. ...
... system in 2016, whereby autopilot sensors on the Model S failed to distinguish a white tractortrailer crossing the highway against a bright sky. In this case, it might be claimed that the testing/QA failed to identify this scenario and build sufficient responses to factor it safely. ...
Beyond AI: Artificial Dreams
... depends solely on its detachment from reasoning process and simultaneously on its ability to trigger an action.4 This new distinction between desires and dummy-desires can explain quite easily why is it possible to desire premises of some argument, without desiring their logical consequence. The ans ...
... depends solely on its detachment from reasoning process and simultaneously on its ability to trigger an action.4 This new distinction between desires and dummy-desires can explain quite easily why is it possible to desire premises of some argument, without desiring their logical consequence. The ans ...
Lecture 11
... algorithms are empirically tested over characteristic functions with different properties: 1) subadditive, 2) superadditive, 3) picked from a uniform distribution in [0, 1] or in [0, |S|] (where |S| is the size of the coalition). The performance of the heuristics differs over the different type of v ...
... algorithms are empirically tested over characteristic functions with different properties: 1) subadditive, 2) superadditive, 3) picked from a uniform distribution in [0, 1] or in [0, |S|] (where |S| is the size of the coalition). The performance of the heuristics differs over the different type of v ...
Computing the Nondominated Nash Points of a Normal Form Game
... It is a well-known fact that a normal form game can have a single Nash equilibrium, multiple but a finite number of Nash equilibria, or even an infinite number of Nash equilibria. When a normal form game has an infinite number of Nash equilibria, the set of all Nash equilibria can still be completel ...
... It is a well-known fact that a normal form game can have a single Nash equilibrium, multiple but a finite number of Nash equilibria, or even an infinite number of Nash equilibria. When a normal form game has an infinite number of Nash equilibria, the set of all Nash equilibria can still be completel ...
Alger Weibull 2016
... generalized to interactions in groups of arbitrary size? Like in Alger and Weibull (2013), we here let the mathematics show the way from evolutionary stability conditions to the preferences that evolution favors. More precisely, we develop a theoretical model for analysis of the evolutionary foundat ...
... generalized to interactions in groups of arbitrary size? Like in Alger and Weibull (2013), we here let the mathematics show the way from evolutionary stability conditions to the preferences that evolution favors. More precisely, we develop a theoretical model for analysis of the evolutionary foundat ...
Class Player - Rose
... The Move class returns two points, the original position of one of your bots and either the destination of that bot or the location of a bot that is being aimed at or killed. For this project, x is the column, which begins counting at 0; likewise, y is the respective row, which also begins counting ...
... The Move class returns two points, the original position of one of your bots and either the destination of that bot or the location of a bot that is being aimed at or killed. For this project, x is the column, which begins counting at 0; likewise, y is the respective row, which also begins counting ...
Q - Computer History Museum
... and one of them happened near here in Napa Valley. I think you guys all know what Napa Valley’s famous for, and there’s a guy named Gallo that has a vineyard in Napa Valley. And he was a very gracious guy and he was a bit interested in chess and so he decided- well, he had been having chess tourname ...
... and one of them happened near here in Napa Valley. I think you guys all know what Napa Valley’s famous for, and there’s a guy named Gallo that has a vineyard in Napa Valley. And he was a very gracious guy and he was a bit interested in chess and so he decided- well, he had been having chess tourname ...
Lessons from The Turing Test
... The Turing ‘Test’ as Harmful! • In fact, I believe that seeing Turing’s contribution as laying out a test is harmful. • The harm is that we have been thinking about the goal of AI in these terms, and that has been, and still is, detrimental to the field of AI. • E.g. In “Essentials of Artificial In ...
... The Turing ‘Test’ as Harmful! • In fact, I believe that seeing Turing’s contribution as laying out a test is harmful. • The harm is that we have been thinking about the goal of AI in these terms, and that has been, and still is, detrimental to the field of AI. • E.g. In “Essentials of Artificial In ...
AI PLANNING FOR TRANSPORTATION LOGISTICS
... The area of domain independent heuristic planning has been pushed forward by the ASP [3] and HSP [4] planners. These planners traverse the state-space in a forward direction. In order to estimate the distance between each state and the goals, the planners compute an estimate of the distance between ...
... The area of domain independent heuristic planning has been pushed forward by the ASP [3] and HSP [4] planners. These planners traverse the state-space in a forward direction. In order to estimate the distance between each state and the goals, the planners compute an estimate of the distance between ...
Modal Logic for Open Minds - Institute for Logic, Language and
... We will talk later about algorithmic methods for finding such counter-examples to invalid principles more systematically, turning an “art” of finding counter-examples into a “science”. Additional validities arise as axioms for modal logics with special interpretations, in the form of special constra ...
... We will talk later about algorithmic methods for finding such counter-examples to invalid principles more systematically, turning an “art” of finding counter-examples into a “science”. Additional validities arise as axioms for modal logics with special interpretations, in the form of special constra ...
Intelligent Virtual Environments - A State-of-the
... environment, as an alternative to physical simulation - enhancing interactivity, i.e. by recognising user interaction in terms of high-level actions to determine adaptive behaviour from the system Though IVRS have been in development for the past few years, they are still to be considered an emergin ...
... environment, as an alternative to physical simulation - enhancing interactivity, i.e. by recognising user interaction in terms of high-level actions to determine adaptive behaviour from the system Though IVRS have been in development for the past few years, they are still to be considered an emergin ...
Course Introduction - School of Computer Science
... • Define what we mean by AI (or at least give us a working definition for this course) • Write “AI” programs that – Explore search spaces using both blind, heuristic, metaheuristic and evolutionary search techniques – Implement Neural Networks ...
... • Define what we mean by AI (or at least give us a working definition for this course) • Write “AI” programs that – Explore search spaces using both blind, heuristic, metaheuristic and evolutionary search techniques – Implement Neural Networks ...
5-Discipline of HCI
... • Contribution in the sense of Soft Sciences for HCI • Considers introduction of IT in society • Ethnography involves observing people • Cognitive psychology tries to predict • Computer Supported Cooperative Writing ...
... • Contribution in the sense of Soft Sciences for HCI • Considers introduction of IT in society • Ethnography involves observing people • Cognitive psychology tries to predict • Computer Supported Cooperative Writing ...
Lessons from The Turing Test - Cognitive Science Department
... • If Turing’s point of his article was to propose a test or criteria for intelligence, then why are none of these objections about the validity of this test? • In particular, given the nature of the test, one would expect a whole bunch of “Hollow Shell” objections, and as we saw, that is indeed what ...
... • If Turing’s point of his article was to propose a test or criteria for intelligence, then why are none of these objections about the validity of this test? • In particular, given the nature of the test, one would expect a whole bunch of “Hollow Shell” objections, and as we saw, that is indeed what ...
session02
... • Agents have social ability, that is, they communicate with the user, the system, and other agents as required • Agents may also cooperate with other agents to carry out more complex tasks than they themselves can handle • Agents may migrate from one system to another to access remote resources or ...
... • Agents have social ability, that is, they communicate with the user, the system, and other agents as required • Agents may also cooperate with other agents to carry out more complex tasks than they themselves can handle • Agents may migrate from one system to another to access remote resources or ...
Space-Time Embedded Intelligence
... In 1995 (before AIXI was defined), Russell [10] gave a definition of boundedoptimality, which does take real-world constraints into account, specifically the constraints of a given computing architecture (see Goetzel [2] for related ideas). A given architecture M (described as an interpreter) define ...
... In 1995 (before AIXI was defined), Russell [10] gave a definition of boundedoptimality, which does take real-world constraints into account, specifically the constraints of a given computing architecture (see Goetzel [2] for related ideas). A given architecture M (described as an interpreter) define ...
Alan Turing and the Matrix: Intelligent Systems for Law Enforcement
... The research of professor van den Herik at Leiden University is focused on the following question: Can a computer administer justice? 1 At the basis of this question lies a deeper question: can computers think? When we look beyond this question, we see it in turn gives rise to fundamental questions ...
... The research of professor van den Herik at Leiden University is focused on the following question: Can a computer administer justice? 1 At the basis of this question lies a deeper question: can computers think? When we look beyond this question, we see it in turn gives rise to fundamental questions ...
Chapter 15: Is Artificial Intelligence Real?
... With respect to neural networks, all of the following are true EXCEPT: A. neural networks distribute knowledge throughout the network. B. neural networks store information in the same way as traditional computers. C. neural networks use distributed, parallel computing systems. D. neural networks con ...
... With respect to neural networks, all of the following are true EXCEPT: A. neural networks distribute knowledge throughout the network. B. neural networks store information in the same way as traditional computers. C. neural networks use distributed, parallel computing systems. D. neural networks con ...
An introduction to game theory
... Practice problems are posted on class website If you would like help preparing for Test 2, please ask in office hours and/or during section ...
... Practice problems are posted on class website If you would like help preparing for Test 2, please ask in office hours and/or during section ...
The Liability Problem for Autonomous Artificial Agents
... systems liable, provided you can show intent to commit a crime, or foreseeable risk of a harm rising to the level of criminal negligence. To the extent that artificial agents become increasingly complex, those who build or deploy advanced AIs and robotics will not necessarily have intent or foresigh ...
... systems liable, provided you can show intent to commit a crime, or foreseeable risk of a harm rising to the level of criminal negligence. To the extent that artificial agents become increasingly complex, those who build or deploy advanced AIs and robotics will not necessarily have intent or foresigh ...