PHIL 280
... conceptual framework for the cognitive sciences, which lie at the intersection of philosophy, psychology, computer science, and brain science. This course proceeds from an introduction to computation theory, to some philosophy of mind -- in particular, from the major unsolvability results of computa ...
... conceptual framework for the cognitive sciences, which lie at the intersection of philosophy, psychology, computer science, and brain science. This course proceeds from an introduction to computation theory, to some philosophy of mind -- in particular, from the major unsolvability results of computa ...
Lecture 1
... anything which supports a pyramid. I UNDERSTAND. > Do I own the box? NO. (adapted from Dreyfus’ 1979 What Computers Can’t Do) ...
... anything which supports a pyramid. I UNDERSTAND. > Do I own the box? NO. (adapted from Dreyfus’ 1979 What Computers Can’t Do) ...
Introduction to the course, History of AI - clic
... Objections to the Turing Test • Objections are basically of two forms: – “No computer will ever be able to pass this test” – “Even if a computer passed this test, it wouldn’t be intelligent” ...
... Objections to the Turing Test • Objections are basically of two forms: – “No computer will ever be able to pass this test” – “Even if a computer passed this test, it wouldn’t be intelligent” ...
sb.hyper.afrl - Minds & Machines Home
... by natural selection to solve problems faced by our evolutionary ancestors in their foraging way of life.” ...
... by natural selection to solve problems faced by our evolutionary ancestors in their foraging way of life.” ...
CS440 - Introduction to Artificial Intelligence
... In 1931, the Czech-born mathematician Kurt Gödel demonstrated that within any given branch of mathematics, there would always be some propositions that couldn't be proven either true or false using the rules and axioms ... of that mathematical branch itself. You might be able to prove every conceiva ...
... In 1931, the Czech-born mathematician Kurt Gödel demonstrated that within any given branch of mathematics, there would always be some propositions that couldn't be proven either true or false using the rules and axioms ... of that mathematical branch itself. You might be able to prove every conceiva ...
College of Business book review by David Coffee Title
... conducted through neurons firing in the brain, passing impulses from one to another when certain thresholds are exceeded. While an area of AI, neural nets, attempts to crudely model this using inputs, nodes, and outputs, the complexity of the human brain with its billions of neurons and its chemical ...
... conducted through neurons firing in the brain, passing impulses from one to another when certain thresholds are exceeded. While an area of AI, neural nets, attempts to crudely model this using inputs, nodes, and outputs, the complexity of the human brain with its billions of neurons and its chemical ...
sb.css.onlinelect.v3 - Minds & Machines Home
... by natural selection to solve problems faced by our evolutionary ancestors in their foraging way of life.” ...
... by natural selection to solve problems faced by our evolutionary ancestors in their foraging way of life.” ...
Slide 1
... that they are conscious? •Luc Steels has built robots that can make sounds, detect each other’s sounds, and imitate them. They can also track each other’s gaze while looking at different things. •Through imitating each other, robots come to agree on sounds that refer to things they see. Spontaneous ...
... that they are conscious? •Luc Steels has built robots that can make sounds, detect each other’s sounds, and imitate them. They can also track each other’s gaze while looking at different things. •Through imitating each other, robots come to agree on sounds that refer to things they see. Spontaneous ...
File
... could be done faster, more quickly, and with less error. Also, machines capable of thought could essentially create new ones (Hauser). Other more personal issues could be limited as well. If all turns out for naught, more research would at the very least indicate that. The lack of knowledge we have ...
... could be done faster, more quickly, and with less error. Also, machines capable of thought could essentially create new ones (Hauser). Other more personal issues could be limited as well. If all turns out for naught, more research would at the very least indicate that. The lack of knowledge we have ...
My Personal Philosophy about Artificial Intelligence
... For the last several years, IBM scientists have been working on developing Watson, which is intended to be the world’s most “advanced question/answering” machineable to understand a question and respond with a precise, factual answer. (Thompson, Clive.) This is big step in the journey towards true a ...
... For the last several years, IBM scientists have been working on developing Watson, which is intended to be the world’s most “advanced question/answering” machineable to understand a question and respond with a precise, factual answer. (Thompson, Clive.) This is big step in the journey towards true a ...
here
... Describe fundamental concepts and topics in artificial intelligence. (10. A knowledge of historical and contemporary issues.) Use problem-solving heuristics and search in the analysis of artificial intelligence problems. (2: Scientific, computational, and engineering problem solving.) Design AI algo ...
... Describe fundamental concepts and topics in artificial intelligence. (10. A knowledge of historical and contemporary issues.) Use problem-solving heuristics and search in the analysis of artificial intelligence problems. (2: Scientific, computational, and engineering problem solving.) Design AI algo ...
History of Artificial Intelligence
... • Starting in 1952. Arthur Samuel wrote a series of programs for checkers (draughts) that eventually learned to play at a strong amateur level. • McCarthy in 1958 defined a high level language LISP, a dominant AI programming language. In the same year McCarthy and others at MIT invented time sharing ...
... • Starting in 1952. Arthur Samuel wrote a series of programs for checkers (draughts) that eventually learned to play at a strong amateur level. • McCarthy in 1958 defined a high level language LISP, a dominant AI programming language. In the same year McCarthy and others at MIT invented time sharing ...
human and AI hybrids - Vanderbilt University
... Fisher, associate professor of computer science and computer engineering at Vanderbilt University, talks about the state of the art in artificial intelligence and robotics in this interview by Adelyn Jones of WRLT FM radio in Nashville. The interview was aired Sunday, March 19, 2006 and was produced ...
... Fisher, associate professor of computer science and computer engineering at Vanderbilt University, talks about the state of the art in artificial intelligence and robotics in this interview by Adelyn Jones of WRLT FM radio in Nashville. The interview was aired Sunday, March 19, 2006 and was produced ...
Document
... to personal robots for advice, helping us with our daily tasks, or even depend on them to be there for support just like a friend. Many people fear this type of future might lead to the downfall of humans; they believe that the robots will take over the world. Even though that could be a possibility ...
... to personal robots for advice, helping us with our daily tasks, or even depend on them to be there for support just like a friend. Many people fear this type of future might lead to the downfall of humans; they believe that the robots will take over the world. Even though that could be a possibility ...
Abstract View of System Components
... Advances have also been made in knowledge engineering systems, perception, human language understanding, fuzzy systems, and modeling of the brain and evolution [10]. The current success stories in AI are in areas such as machine vision, speech understanding, and knowledge processing do not incorpora ...
... Advances have also been made in knowledge engineering systems, perception, human language understanding, fuzzy systems, and modeling of the brain and evolution [10]. The current success stories in AI are in areas such as machine vision, speech understanding, and knowledge processing do not incorpora ...
teacher clues - ITGS Textbook
... 7. Simple logic: A form of logic in which there are only two values, such as true and false. 8. Fuzzy logic: A form of logic which can have many different values. 9. Heuristics: Rules used in artificial intelligence which are generally, but not always, true. 10. Infrared sensor: A common type of sen ...
... 7. Simple logic: A form of logic in which there are only two values, such as true and false. 8. Fuzzy logic: A form of logic which can have many different values. 9. Heuristics: Rules used in artificial intelligence which are generally, but not always, true. 10. Infrared sensor: A common type of sen ...
2013-11-18-CS10-L20-..
... – (B) Behaves similarly to people – when it makes errors, those errors are similar to people’s errors – (C) Carries out the same type of processing (mental representations) people do – i.e., thinks like people ...
... – (B) Behaves similarly to people – when it makes errors, those errors are similar to people’s errors – (C) Carries out the same type of processing (mental representations) people do – i.e., thinks like people ...
What is your definition of AI?
... e.g. the Logic Theorist, General Problem Solver, Geometry Theorem Prover (Mc Carthy’s first complete AI systems). ...
... e.g. the Logic Theorist, General Problem Solver, Geometry Theorem Prover (Mc Carthy’s first complete AI systems). ...
Artificial intelligence
... • For more complex problems, things get more difficult... Unlike humans, computers have trouble understanding specific situations, and adapting to new situations. • Artificial Intelligence aims to improve machine behavior in tackling such complex tasks. ...
... • For more complex problems, things get more difficult... Unlike humans, computers have trouble understanding specific situations, and adapting to new situations. • Artificial Intelligence aims to improve machine behavior in tackling such complex tasks. ...
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.""↑ ↑ ↑ ↑ ↑ ↑