Knowledge Representation and Reasoning
... promising results. Finally Ioannis Hatzilygeroudis, Jim Prentzas, Basilis Boutsinas, Mihalis Vrahatis and their colleagues have integrated symbolic rules and nonsymbolic methods to produce powerful hybrid systems. A survey of this size couldn’t possibly be complete. It simply offers a glimpse at the ...
... promising results. Finally Ioannis Hatzilygeroudis, Jim Prentzas, Basilis Boutsinas, Mihalis Vrahatis and their colleagues have integrated symbolic rules and nonsymbolic methods to produce powerful hybrid systems. A survey of this size couldn’t possibly be complete. It simply offers a glimpse at the ...
View PDF - Boston College Law Review
... could and should be patentable. 7 It argues that computers can be inventors because although AI would not be motivated to invent by the prospect of a patent, computer inventorship would incentivize the development of creative machines. 8 In turn, this would lead to new scientific advances. Beyond in ...
... could and should be patentable. 7 It argues that computers can be inventors because although AI would not be motivated to invent by the prospect of a patent, computer inventorship would incentivize the development of creative machines. 8 In turn, this would lead to new scientific advances. Beyond in ...
Modified from
... A subfield of computer science, concerned with symbolic reasoning and problem solving ...
... A subfield of computer science, concerned with symbolic reasoning and problem solving ...
On John McCarthy`s 80th Birthday, in Honor of his Contributions
... as constructing a plan to get to the airport. Second, he was proposing using the tools of mathematical logic for proving something other than theorems in mathematical domains. His paper, “Programs With Common Sense” (McCarthy 1959) (often referred to as the Advice-Taker paper), articulated the need ...
... as constructing a plan to get to the airport. Second, he was proposing using the tools of mathematical logic for proving something other than theorems in mathematical domains. His paper, “Programs With Common Sense” (McCarthy 1959) (often referred to as the Advice-Taker paper), articulated the need ...
For Review Only - Portsmouth Research Portal
... In another approach known as the ‘covering approach', the inductive learning program attempts to find groups of attributes uniquely shared by examples in given classes and forms rules with the IF part as conjunctions of those attributes and the THEN part as the classes. The program removes correctly ...
... In another approach known as the ‘covering approach', the inductive learning program attempts to find groups of attributes uniquely shared by examples in given classes and forms rules with the IF part as conjunctions of those attributes and the THEN part as the classes. The program removes correctly ...
Scripting, AI, Physics, and Behaviors
... Strong AI: the ability to perform activities normally thought to require intelligence, learning, and adapting. Weak AI: specialized intelligent qualities. ...
... Strong AI: the ability to perform activities normally thought to require intelligence, learning, and adapting. Weak AI: specialized intelligent qualities. ...
original
... For simplicity, assume H = {0, 1}, distributed according to Pr(y) Continuous random variables: differential entropy ...
... For simplicity, assume H = {0, 1}, distributed according to Pr(y) Continuous random variables: differential entropy ...
What Consumers Really Think About AI: A Global
... of the most complex and rapidly changing technologies in the world. However, the study reveals that many consumers couldn’t even recognize some of AI’s most basic tenets. Consider that nearly half don’t understand that AI solutions enable machines to learn new things, and even fewer don’t know it ca ...
... of the most complex and rapidly changing technologies in the world. However, the study reveals that many consumers couldn’t even recognize some of AI’s most basic tenets. Consider that nearly half don’t understand that AI solutions enable machines to learn new things, and even fewer don’t know it ca ...
8. In the Tic Tac Toe program designed in this Chapter - UTK-EECS
... community of AI researchers (see Exercises). The dialog shown above, from the movie Artificial Intelligence, depicts an aspect of the test of intelligence designed by Alan Turing. Based on the exchange between Gigolo Joe and David, can you conclude that they are both intelligent? Human? After over f ...
... community of AI researchers (see Exercises). The dialog shown above, from the movie Artificial Intelligence, depicts an aspect of the test of intelligence designed by Alan Turing. Based on the exchange between Gigolo Joe and David, can you conclude that they are both intelligent? Human? After over f ...
How Many Robots Does it Take to Screw in a Lightbulb?
... overcome this disadvantage by mimicking the interactive behavior of animals and humans, creating a group that can solve meaningful problems in daily life. This has some fascinating results that have spurred researchers to investigate an interesting phenomenon called emergent behavior. When multiple ...
... overcome this disadvantage by mimicking the interactive behavior of animals and humans, creating a group that can solve meaningful problems in daily life. This has some fascinating results that have spurred researchers to investigate an interesting phenomenon called emergent behavior. When multiple ...
An Integrated Tool for Enhancement of Artificial Intelligence
... Students in the AI classes learn about the goals of rational agents, and learn current techniques for creating these agents. In particular, students need to learn methods of internally representing information about the external world. They also learn methods for problem solving by searching through ...
... Students in the AI classes learn about the goals of rational agents, and learn current techniques for creating these agents. In particular, students need to learn methods of internally representing information about the external world. They also learn methods for problem solving by searching through ...
fromkin-9-computers
... associations. Word associations are determined by providing a window of three words (more or less) on each side of the targeted word. (Fromkin Rodman Hyams [2011] 407-409) ...
... associations. Word associations are determined by providing a window of three words (more or less) on each side of the targeted word. (Fromkin Rodman Hyams [2011] 407-409) ...
Types of Robots - Web Services Overview
... • These imaginary robots do a lot of things that the real ones can not do. ...
... • These imaginary robots do a lot of things that the real ones can not do. ...
Computer-Aided Design and Manufacture
... use of pencil, scale and T-square. The popular alternative now is to prepare the drawing with the aid of a computer. A CAD system is a tool of the drafter. The combination of equipment to operate a CAD system is referred to as the workstation. It includes a computer, CAD software, display screen, in ...
... use of pencil, scale and T-square. The popular alternative now is to prepare the drawing with the aid of a computer. A CAD system is a tool of the drafter. The combination of equipment to operate a CAD system is referred to as the workstation. It includes a computer, CAD software, display screen, in ...
Universal Artificial Intelligence: Practical Agents and Fundamental
... symptoms, and chess-playing agents deducing good moves. Since the deductive approach dominated AI in its early days, it is sometimes referred to as good old-fashioned AI. A more modern approach to AI shifts the focus from reasoning to learning. This inductive approach has become increasingly popular ...
... symptoms, and chess-playing agents deducing good moves. Since the deductive approach dominated AI in its early days, it is sometimes referred to as good old-fashioned AI. A more modern approach to AI shifts the focus from reasoning to learning. This inductive approach has become increasingly popular ...
New Trends in Intelligent Systems and Soft Computing Towards and
... different rooms. The interrogator is to determine which of the other two is the person, and which is the machine. ...
... different rooms. The interrogator is to determine which of the other two is the person, and which is the machine. ...
dARe – Using Argumentation to Explain Conclusions from a
... abstracting away from any concrete manifestations of existing approaches. For our approach to work, we make a few (mild) assumptions about the approach to assigning semantics to defeasible theories that is used to draw inferences (the “back-end”). More specifically, we assume that the reasoning back ...
... abstracting away from any concrete manifestations of existing approaches. For our approach to work, we make a few (mild) assumptions about the approach to assigning semantics to defeasible theories that is used to draw inferences (the “back-end”). More specifically, we assume that the reasoning back ...
as a PDF
... relation. The “0” sink and edges leading to it have been omitted for aesthetic reasons. By conjoining this formula with any formula describing a set of states using variables A, B and C introduced before and querying the BDD engine for the possible instantiations of (A0 , B 0 , C 0 ), we can calcula ...
... relation. The “0” sink and edges leading to it have been omitted for aesthetic reasons. By conjoining this formula with any formula describing a set of states using variables A, B and C introduced before and querying the BDD engine for the possible instantiations of (A0 , B 0 , C 0 ), we can calcula ...
Exploring Biological Intelligence through Artificial Intelligence and Radical Reimplementation Joel Lehman
... biological intelligence would profoundly impact society. Thus, to explore biological hypotheses some AI researchers take direct inspiration from biology. However, nature’s implementations of intelligence may present only one facet of its deeper principles, complicating the search for general hypothe ...
... biological intelligence would profoundly impact society. Thus, to explore biological hypotheses some AI researchers take direct inspiration from biology. However, nature’s implementations of intelligence may present only one facet of its deeper principles, complicating the search for general hypothe ...
The Role of analogy in cognitive science
... Analogy is an integral part of human understanding and problem solving, and thus becomes an interesting challenge for artificial intelligence[1]. The concept of analogy requires some ability to perceive likeness between dissimilar objects/abstractions in different domains and extrapolate a relations ...
... Analogy is an integral part of human understanding and problem solving, and thus becomes an interesting challenge for artificial intelligence[1]. The concept of analogy requires some ability to perceive likeness between dissimilar objects/abstractions in different domains and extrapolate a relations ...
document
... frequency and word associations. Word associations are determined by providing a window of three words (more or less) on each side of the targeted word. (Fromkin Rodman Hyams 379) ...
... frequency and word associations. Word associations are determined by providing a window of three words (more or less) on each side of the targeted word. (Fromkin Rodman Hyams 379) ...
Chapter 12
... representing those processes via machines. How to make computers do things that, at the moment, people are better AI’s goal is to mimic human intelligence – Turing test A test designed to measure the “intelligence” of a computer 2nd semester 2010 Dr. Qusai Abuein ...
... representing those processes via machines. How to make computers do things that, at the moment, people are better AI’s goal is to mimic human intelligence – Turing test A test designed to measure the “intelligence” of a computer 2nd semester 2010 Dr. Qusai Abuein ...
Here`s the beef: Answer Set Programming
... efforts in grounding, another major research theme is the development of program optimizers. That is, systems that transform highly declarative logic programs into equivalent ones, for which the overall solving time is significantly shorter than for the original program. In view of the vast literatu ...
... efforts in grounding, another major research theme is the development of program optimizers. That is, systems that transform highly declarative logic programs into equivalent ones, for which the overall solving time is significantly shorter than for the original program. In view of the vast literatu ...
Camera-ready Manuscript for the Proceedings of icame 2009
... logic. According to Perelman: “While calculating the ability, many ‘rich languages’ demand only second-rate predicates. As long as this can be accounted for the truth, we have to develop classic logical algorithms for models and reasons of their existence, or we should abandon the idea of having a n ...
... logic. According to Perelman: “While calculating the ability, many ‘rich languages’ demand only second-rate predicates. As long as this can be accounted for the truth, we have to develop classic logical algorithms for models and reasons of their existence, or we should abandon the idea of having a n ...
5-Discipline of HCI
... of technology, but rather the bridging between the two. So you always have to have one eye open to the questions: – What can the technology do? – How can you build it ? – What are the possibilities? ...
... of technology, but rather the bridging between the two. So you always have to have one eye open to the questions: – What can the technology do? – How can you build it ? – What are the possibilities? ...
Philosophy of artificial intelligence
The philosophy of artificial intelligence attempts to answer such questions as: Can a machine act intelligently? Can it solve any problem that a person would solve by thinking? Are human intelligence and machine intelligence the same? Is the human brain essentially a computer? Can a machine have a mind, mental states and consciousness in the same sense humans do? Can it feel how things are?These three questions reflect the divergent interests of AI researchers, cognitive scientists and philosophers respectively. The scientific answers to these questions depend on the definition of ""intelligence"" and ""consciousness"" and exactly which ""machines"" are under discussion.Important propositions in the philosophy of AI include:Turing's ""polite convention"": If a machine behaves as intelligently as a human being, then it is as intelligent as a human being. The Dartmouth proposal: ""Every aspect of learning or any other feature of intelligence can be so precisely described that a machine can be made to simulate it."" Newell and Simon's physical symbol system hypothesis: ""A physical symbol system has the necessary and sufficient means of general intelligent action."" Searle's strong AI hypothesis: ""The appropriately programmed computer with the right inputs and outputs would thereby have a mind in exactly the same sense human beings have minds."" Hobbes' mechanism: ""Reason is nothing but reckoning.""↑ ↑ ↑ ↑ ↑ ↑