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CS 561: Artificial Intelligence CS 561: Artificial Intelligence
CS 561: Artificial Intelligence CS 561: Artificial Intelligence

... How can we solve complex problems? ...
Computer Science as Empirical Inquiry
Computer Science as Empirical Inquiry

... where they lose their identity. The movements of the plates account for the shapes and relative locations of the continents and oceans, for the areas of volcanic and earthquake activity, for the deep sea ridges, and so on. With a few additional particulars as to speed and size, the essential theory ...
Introduction to Artificial Intelligence
Introduction to Artificial Intelligence

... Genetic algorithms • A successor state is generated by combining two ...
Could a machine think? - Alan M. Turing vs. John R. Searle
Could a machine think? - Alan M. Turing vs. John R. Searle

... physical laws. However, it is possible to prescind from these physical properties and to specify a functional description of the (physical) machine. 7 An appropriate state-transition diagram (Turing calls it “table of instructions”8) provides such a functional description of a computer. To explain w ...
Expert System to Troubleshoot the Wireless Connection
Expert System to Troubleshoot the Wireless Connection

... systems that exhibit intelligent behaviour and perform complex tasks with a level of competence that is equivalent or superior to the level currently exhibited by human experts" [1]. Expert systems are one of the subfields of artificial intelligence. Since the 1960’s, when development of artificial ...
Negation Without Negation in Probabilistic Logic Programming
Negation Without Negation in Probabilistic Logic Programming

... pendently, each pi : ni is converted to ni with probability pi and omitted with probability 1 − pi . The unique stablemodel semantics provides a semantics of a unique model for each DPR. This provides R with a semantics of a distribution over models, which represents a joint distribution of the var ...
Systems analyst
Systems analyst

... 1. has the potential to extend the manager’s problem-solving ability beyond his or her ...
Evolving a Roving Eye for Go - Neural Network Research Group
Evolving a Roving Eye for Go - Neural Network Research Group

... cannot be captured because it is not possible to fill both eyes at once. The ko rule, which forbids the same board state from occurring twice, ensures that the game progresses to a conclusion. The rules of Go are deceptively simple. Yet unlike in many other board games, such as Othello and chess, ma ...
Resources - CSE, IIT Bombay
Resources - CSE, IIT Bombay

... Society of Mind (Marvin Minsky) ...
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PDF

... - Search is a central topic in AI - Originated with Newell and Simon's work on problem solving. Famous book: “Human Problem Solving” (1972) ...
Knowledge Representation in Artificial Intelligence using
Knowledge Representation in Artificial Intelligence using

... processes can live isolated or can be carried out alone, actually it can be said that those processes are part of the dynamic knowledge, and dynamic knowledge typically requires of conceptual or factual knowledge to be used. There are few knowledge representation (KR) techniques available for effici ...
Finite State Machines and Their Testing
Finite State Machines and Their Testing

... represented in the states, and actions are constrained by rules. • An adopted AI technique initially used for language representation. • Two main types of FSM. • Deterministic FSM, meaning that given an input and the current state, the state transition can be predicted. • Non-deterministic finite st ...
Structured Knowledge Representation and Schema Systems
Structured Knowledge Representation and Schema Systems

... script can be represented as a tree or network of states, driven by events. As with Frames, scripts drive interpretation by telling the system what to look for and where to look next. The script can predict events. Example of a script The classic example is the restaurant script: Scene: A restaurant ...
Gate Assignment Display System
Gate Assignment Display System

... “intelligent computer program using knowledge / inference procedures to solve problems difficult enough to require significant human expertise; a model of the expertise of the best practitioners” ...
Notes - MyWeb
Notes - MyWeb

... While Turing all but established the field of computer science with a clever tool that utilized both software and hardware, he constantly turned over the question of how to define this new intelligence he helped birth. In 1950, his paper “Computer Machinery and Intelligence” grapples with this conce ...
CUSTOMER_CODE SMUDE DIVISION_CODE SMUDE
CUSTOMER_CODE SMUDE DIVISION_CODE SMUDE

... The following steps summarize the method Request: simple questions asking about general advice or more complicated by identifying shortcomings in the knowledge base and asking for a remedy. Interpret: translate the advice into an internal representation Operationalize: translated advice may still ...
Course Learning Outcomes
Course Learning Outcomes

... edition, Prentice-Hall, New Jersey, 2010. ISBN 013-604259-7 ...
Artificial Intelligence
Artificial Intelligence

... • If the judge is fooled, then the computer must be intelligent. • Book describes an activity for students to run a Turing test using one of the chatterbots • (not time for us to do it here) ...
SCM Sweb
SCM Sweb

... If one side has a word, then the other has an even number (In short: if word, then even) • Your task is to decide which cards must be turned to see if the rule is true of the four cards. • Turn only the minimum number. • Most people turn the two cards with words on them to check the other side. ...
cpsc - University of Calgary
cpsc - University of Calgary

... – Basic principle: getting users involved in the design process from the beginning (rather than building the system and then getting feedback afterwards which is the traditional approach). – Many benefits: • Cost reduction: The further along the software development process the harder it is to make ...
Artificial Intelligence (Lecture – 1)
Artificial Intelligence (Lecture – 1)

... The school of thought were different philosophers, mathematicians and computer scientists who have worked on logic and laws of thought believe in this approach. Thirdly, there are systems that act like humans. Cognitive scientists look at the properties of systems that act like humans and finally w ...
Application of artificial intelligence to model- ing of
Application of artificial intelligence to model- ing of

... iv) ANN can generalize rules from the cases on which they are trained and apply these rules to new patterns. Artificial Neural Network in Materials Research Since the publication of Rumelhart's seminal work on ANN (201, ANN has become the fastest growing discipline within AI over a decade's _time. A ...
Expert System
Expert System

... Medical Expert Systems Today Medical expert systems were quite effective in evaluations comparing their performance with human experts. Support the physicians医生 decisions, rather than doing the whole diagnosis. Include many useful support materials辅助材料, such as report generating tools, reference ma ...
Chapter 7
Chapter 7

... Difficult to use Limited to relatively narrow problems Cannot readily deal with “mixed” knowledge Possibility of error Cannot refine its own knowledge Difficult to maintain May have high development costs Raises legal and ethical concerns ...
Materi Pendukung : T0264P06_2 Representation In the 1960s and
Materi Pendukung : T0264P06_2 Representation In the 1960s and

... the field still holds up very strongly which is that you can take a computing machine that normally, you know, back in the old days we think of as crunching numbers, and put inside it a set of symbols that stand in representation for things out in the world, as if we were doing sort of mental images ...
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Computer Go

Computer Go is the field of artificial intelligence (AI) dedicated to creating a computer program that plays Go, a traditional board game.
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