PPT
... • New knowledge can be constructed from existing knowledge using inference rules • For instance, the inference rule modus ponens can be used to derive the consequent of a consequence relation, given that the antecedent is true • ie: – k1: If [it is raining] Then [I should wear a coat] – k2: [it is r ...
... • New knowledge can be constructed from existing knowledge using inference rules • For instance, the inference rule modus ponens can be used to derive the consequent of a consequence relation, given that the antecedent is true • ie: – k1: If [it is raining] Then [I should wear a coat] – k2: [it is r ...
PPT
... • New knowledge can be constructed from existing knowledge using inference rules • For instance, the inference rule modus ponens can be used to derive the consequent of a consequence relation, given that the antecedent is true • ie: – k1: If [it is raining] Then [I should wear a coat] – k2: [it is r ...
... • New knowledge can be constructed from existing knowledge using inference rules • For instance, the inference rule modus ponens can be used to derive the consequent of a consequence relation, given that the antecedent is true • ie: – k1: If [it is raining] Then [I should wear a coat] – k2: [it is r ...
PPT
... • New knowledge can be constructed from existing knowledge using inference rules • For instance, the inference rule modus ponens can be used to derive the consequent of a consequence relation, given that the antecedent is true • ie: – k1: If [it is raining] Then [I should wear a coat] – k2: [it is r ...
... • New knowledge can be constructed from existing knowledge using inference rules • For instance, the inference rule modus ponens can be used to derive the consequent of a consequence relation, given that the antecedent is true • ie: – k1: If [it is raining] Then [I should wear a coat] – k2: [it is r ...
CptS 440 / 540 Artificial Intelligence
... Imagine you are sitting in a room with a library of rule books, a bunch of blank exercise books, and a lot of writing utensils. Your only contact with the external world is through two slots in the wall labeled ``input'' and ``output''. Occasionally, pieces of paper with Chinese characters come into ...
... Imagine you are sitting in a room with a library of rule books, a bunch of blank exercise books, and a lot of writing utensils. Your only contact with the external world is through two slots in the wall labeled ``input'' and ``output''. Occasionally, pieces of paper with Chinese characters come into ...
Chap1&2
... – Computer and human both interrogated by judge – Computer passes test if judge can’t tell the difference ...
... – Computer and human both interrogated by judge – Computer passes test if judge can’t tell the difference ...
Dr. Mark Silbert
... • Google acquired a London startup company (Deep Mind) specializing in deep learning for $400M – Developed “Ok, Google” and self-driving car ...
... • Google acquired a London startup company (Deep Mind) specializing in deep learning for $400M – Developed “Ok, Google” and self-driving car ...
Forward and Backward Chaining
... Whether you use forward or backwards reasoning to solve a problem depends on the properties of your rule set and initial facts. Sometimes, if you have some particular goal (to test some hypothesis), then backward chaining will be much more efficient, as you avoid drawing conclusions from irrelev ...
... Whether you use forward or backwards reasoning to solve a problem depends on the properties of your rule set and initial facts. Sometimes, if you have some particular goal (to test some hypothesis), then backward chaining will be much more efficient, as you avoid drawing conclusions from irrelev ...
Checkers Is Solved - Department of information engineering and
... an initial line of play. From the human literature, a single “best” line of play was identified and used to guide the initial foray of the manager into the depths of the search tree. Although not essential for the proof, this is an important performance enhancement. It allows the proof process to im ...
... an initial line of play. From the human literature, a single “best” line of play was identified and used to guide the initial foray of the manager into the depths of the search tree. Although not essential for the proof, this is an important performance enhancement. It allows the proof process to im ...
Chapter 23
... questions directed to the occupant of either room. A human is in one room, a computer in the other. – The judge's goal is to decide, based on the questions asked and the answers received, which room contains the computer. – If after a reasonable period of time the judge cannot decide for certain, th ...
... questions directed to the occupant of either room. A human is in one room, a computer in the other. – The judge's goal is to decide, based on the questions asked and the answers received, which room contains the computer. – If after a reasonable period of time the judge cannot decide for certain, th ...
Brief Introduction to Educational Implications of Artificial Intelligence
... The theory and practice of AI is leading to the development of a wide range of artificially intelligent tools. These tools, sometimes working under the guidance of a human and sometimes without external guidance, are able to solve or help solve a steadily increasing range of problems. Over the past ...
... The theory and practice of AI is leading to the development of a wide range of artificially intelligent tools. These tools, sometimes working under the guidance of a human and sometimes without external guidance, are able to solve or help solve a steadily increasing range of problems. Over the past ...
Educators` Introduction to Machine Intelligence
... The theory and practice of AI is leading to the development of a wide range of artificially intelligent tools. These tools, sometimes working under the guidance of a human and sometimes without external guidance, are able to solve or help solve a steadily increasing range of problems. Over the past ...
... The theory and practice of AI is leading to the development of a wide range of artificially intelligent tools. These tools, sometimes working under the guidance of a human and sometimes without external guidance, are able to solve or help solve a steadily increasing range of problems. Over the past ...
Minds may be computers but.. - Cognitive Science Department
... model to develop machines that can do apparently intelligent things. They assumed that computing machines had all the “stuff” that intelligence required and that, rather than build new kinds of machines to develop an intelligent one, all they had to do was to write programs for the programmable comp ...
... model to develop machines that can do apparently intelligent things. They assumed that computing machines had all the “stuff” that intelligence required and that, rather than build new kinds of machines to develop an intelligent one, all they had to do was to write programs for the programmable comp ...
Artificial Intelligence Games- Outline Games vs. search problems
... defining perfect play for all positions involving 8 or fewer pieces on the board, a total of 444 billion positions. ...
... defining perfect play for all positions involving 8 or fewer pieces on the board, a total of 444 billion positions. ...
Brand-turing_short
... ◦ “tide-predicting machine” (1939 application to the Royal Society. Never built due to work on Enigma) ◦ First to calculate zeroes mechanically (Mark-1) “The calculations had been planned some time in advance, but had in fact to be carried out in great haste. If it had not been for the fact that the ...
... ◦ “tide-predicting machine” (1939 application to the Royal Society. Never built due to work on Enigma) ◦ First to calculate zeroes mechanically (Mark-1) “The calculations had been planned some time in advance, but had in fact to be carried out in great haste. If it had not been for the fact that the ...
Foundations and Grand Challenges of Artificial Intelligence
... computer. Thompson’s Belle program received the $5,000 Fredkin award for being the first system to achieve a master’s level rating in tournament play in 1982. Hitech, a VLSI based parallel architecture created by Hans Berliner and Carl Ebeling (1986) has dominated the scene since 1985; it currently ...
... computer. Thompson’s Belle program received the $5,000 Fredkin award for being the first system to achieve a master’s level rating in tournament play in 1982. Hitech, a VLSI based parallel architecture created by Hans Berliner and Carl Ebeling (1986) has dominated the scene since 1985; it currently ...
Turing Test - ritesh sharma
... For example, consider an agent playing chess like the deep blue chess playing program. The agent has complete knowledge of the board. So everything about the environment is accessible to the agent. So the chess environment is a fully observable environment 2. Partially Observable : Not all of the re ...
... For example, consider an agent playing chess like the deep blue chess playing program. The agent has complete knowledge of the board. So everything about the environment is accessible to the agent. So the chess environment is a fully observable environment 2. Partially Observable : Not all of the re ...
Is Artificial Intelligence (AI) possible?
... attention, but dismayed by the fact that Deep Blue was hardly what their predecessors had imagined decades earlier when they dreamed of creating a machine to defeat the world chess champion. Instead of a computer that thought and played chess like a human, with human creativity and intuition, they g ...
... attention, but dismayed by the fact that Deep Blue was hardly what their predecessors had imagined decades earlier when they dreamed of creating a machine to defeat the world chess champion. Instead of a computer that thought and played chess like a human, with human creativity and intuition, they g ...
Computer Science as Empirical Enquiry
... ‘Best Fit’ search evolved from Logic Theorist and ‘Means-End Analysis’ evolved with GPS. ...
... ‘Best Fit’ search evolved from Logic Theorist and ‘Means-End Analysis’ evolved with GPS. ...
Games History - Computer Science
... one saw it at the time, and certainly not Kasparov, who resigned. • Note that Deep Blue lost game 1 in a drawn position due to a bug. ...
... one saw it at the time, and certainly not Kasparov, who resigned. • Note that Deep Blue lost game 1 in a drawn position due to a bug. ...
Chapter 1 LET THE GAMES EVOLVE!
... We submitted our top evolved player to the online league. At its very first tournament it came in third, later climbing to first place of 28.2 All other 27 programs—defeated by our evolved bot—were written by humans. ...
... We submitted our top evolved player to the online league. At its very first tournament it came in third, later climbing to first place of 28.2 All other 27 programs—defeated by our evolved bot—were written by humans. ...
Lecture 28: Physical symbol system
... Does the program understands the symbols that it uses? Does “symbols” have any meaning for the machine? ...
... Does the program understands the symbols that it uses? Does “symbols” have any meaning for the machine? ...
1 Artificial Intelligence
... Chinook becomes world champion in 1994 Chinook runs on regular PCs, alpha-beta search, end-games data base for six-piece positions ...
... Chinook becomes world champion in 1994 Chinook runs on regular PCs, alpha-beta search, end-games data base for six-piece positions ...
Document
... • As Deep Blue goes deeper and deeper into a position, it displays elements of strategic understanding. Somewhere out there mere tactics translate into strategy. This is the closet thing I've ever seen to computer intelligence. It's a very weird form of intelligence, but you can feel it. It feels li ...
... • As Deep Blue goes deeper and deeper into a position, it displays elements of strategic understanding. Somewhere out there mere tactics translate into strategy. This is the closet thing I've ever seen to computer intelligence. It's a very weird form of intelligence, but you can feel it. It feels li ...