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Expert Systems and Artificial Intelligence
Expert Systems and Artificial Intelligence

... Expert System Shells: generic systems that contain reasoning mechanisms but not the problem-specific knowledge Early shells were cumbersome but still allowed the user to avoid having to completely program the system from scratch Modern shells contain two primary modules: a rule set builder and an in ...
The Innovative Applications of Artificial Intelligence Conference
The Innovative Applications of Artificial Intelligence Conference

... and seeks to bring it into existence. AI has ...
Expert Systems
Expert Systems

... Webster's dictionary defines intelligence as, " the ability to understand new or trying situations ". The more commonly accepted definition is " the ability to perceive, understand and learn about new situations ". The human brain is equipped with such an enormous potential to perceive, understand a ...
Chapter 2 : Cognitive Neuroscience
Chapter 2 : Cognitive Neuroscience

... • Differs from one culture to another • Critical in one culture may be unimportant in another culture • Measurement of intelligence will be influenced by culture ...
Introduction to Artificial Intelligence
Introduction to Artificial Intelligence

... Sydow quickly solving a complex puzzle playing and winning a game (checkers, chess, etc.) predicting weather based on observing atmospheric conditions autonomously moving in a hard terrain (desert, city, etc.) recognising a human face or emotions proving a mathematical theorem ...
International Cooperation vs. AI Arms Race
International Cooperation vs. AI Arms Race

... who don’t want to fund MIRI specifically, encouraging donations toward international co- ...
Exploring Biological Intelligence through Artificial Intelligence and Radical Reimplementation Joel Lehman
Exploring Biological Intelligence through Artificial Intelligence and Radical Reimplementation Joel Lehman

... intelligence and thus better understanding such creativity may lead to algorithms able to realize similar intelligence. Furthermore, this biological question itself may be of interest to AI researchers given the ubiquity of optimization in AI and machine learning. That is, if optimization is not the ...
Lego Mindstorms NXT 2.0 - hanan-salah
Lego Mindstorms NXT 2.0 - hanan-salah

... the creation of intelligent machines that work and react like humans. Some of the activities computers with artificial intelligence are designed for include speech recognition, learning, planning and problem solving. Artificial intelligence (AI) is technology and a branch of computer science that st ...
Could a machine think? - Alan M. Turing vs. John R. Searle
Could a machine think? - Alan M. Turing vs. John R. Searle

... The PSSH dictates that symbol manipulation and thinking are processes of a fundamentally alike type. They are both physically realised and governed by rules and representations. 6 A computer is a physical apparatus. Therefore, the performance of a computer can be described by the causal structure of ...
Artificial intelligence - National Open University of Nigeria
Artificial intelligence - National Open University of Nigeria

... aims and objectives, what the course is about, what course materials you will be used, available services to support your learning, information on assignments and examination. It also offers you guidelines on how to plan your time for study the amount of time you are likely to spend on each study un ...
cs344-midsem-with-sol
cs344-midsem-with-sol

... 4. AI programs need to be stupid (to pass the Turing Test) 5. AI programs NECESSARILY will have stupidity 6. The s/w is intelligent, though the h/w is stupid 7. The level of AI machines now is that of NS humans! 8. Stupidity equated with lack of consistency. 9. Natural stupidity is in attempting to ...
Mapping Between Agent Architectures and Brain Organization
Mapping Between Agent Architectures and Brain Organization

... and references.) This requirement is not theoretical, but practical. In theory, monolithic systems may be Turing complete; but whether attacked by design or by learning, in practice complex control requires decomposition into solvable subproblems. This principle of modularity is one of several featu ...
Rational Artificial Intelligence for the Greater Good - Self
Rational Artificial Intelligence for the Greater Good - Self

... Rational agents, as defined in economics, have well-defined goals and at each moment take the action which is most likely to bring about its goals. A rational chess robot might be given the goal of winning lots of chess games against good opponents. This might appear to be an innocuous goal that wou ...
Artificial Intelligence and Environmental Decision Support Systems
Artificial Intelligence and Environmental Decision Support Systems

... variables involved, and a list of possible models. The next step is to select a set of methods and models that cover all kinds of knowledge and functionalities needed for the decision-making process. Once the models are selected, they must be fully implemented by means of machine learning, data mini ...
Chapter 14: Artificial Intelligence
Chapter 14: Artificial Intelligence

... Invitation to Computer Science, Java Version, Third Edition ...
Chapter 14: Artificial Intelligence
Chapter 14: Artificial Intelligence

... Invitation to Computer Science, Java Version, Third Edition ...
Reformulation based MaxSAT robustness (Extended abstract)
Reformulation based MaxSAT robustness (Extended abstract)

... Uncertainty is inherent to most real world problems. For instance, in job-shop scheduling, if a machine breaks down, a new solution must be computed. Such a new solution should be fast to compute and, ideally, should also be close to the initial one (e.g., in the job-shop problem, it is not desirabl ...
Meaning in Artificial Agents: The Symbol Grounding Problem
Meaning in Artificial Agents: The Symbol Grounding Problem

... To demonstrate this last thesis, Harnad developed his own version of the Chinese room thought experiment (Harnad 1992): let us imagine a robot built up in such a way that it could, by its own means, provide representations to each of the symbols it manipulates. Furthermore, let us imagine that thank ...
CYBERNETICS: A Definition
CYBERNETICS: A Definition

... to me and I composed the following text and incorporated a figure that I had created for an earlier purpose. My original text follows, which was published in a slightly reedited form. Final text is Copyright (c) Macmillan Publishing.] Artificial Intelligence and cybernetics: Aren't they the same thi ...
CPSC 7373: Artificial Intelligence
CPSC 7373: Artificial Intelligence

... – What level of abstraction? “Knowledge” or “circuits” – How to validate? Requires: • 1) Predicting and testing behavior of human subjects (top-down) or • 2) Direct identification from neurological data (bottomup) ...
CURRICULUM VITAE
CURRICULUM VITAE

... 2. Esra Erdem and Alfredo Gabaldon. Representing Action Domains with Numeric-Valued Fluents. To appear in Proceedings of the Tenth European Conference on Logics in Artificial Intelligence (JELIA’06), ...
Flaws of the Turing test
Flaws of the Turing test

... Griffin, A. (2012) Turing test breakthrough as super-computer becomes first to convince us it’s human, The Independent - Tech, 6 January. Available from: http://www.independent.co.uk/life-style/gadgets-and-tech/computer-becomes-first-to-pass-turing-test-inartificial-intelligence-milestone-but-academ ...
Artificial Participation: An Interview with Warren Sack
Artificial Participation: An Interview with Warren Sack

... makes computer-based social technologies that make you stop and think about how much you are invested in automatic ways of conversing. The computer program ELIZA has been doing this since 1966, but as Sack discusses below, programs that ask questions rather than answer them never became a focus of t ...
ICT219 Intelligent Systems Unit Information
ICT219 Intelligent Systems Unit Information

... download via the unit website. Instructions on how to set up your machine will also be provided. It is the student's responsibility to provide themselves with the needed computer resources. Every effort will be made to help students get up and running, but there is a limit to what can be done over e ...
Final Year Project Proposals (Academic Year 2016-17)
Final Year Project Proposals (Academic Year 2016-17)

... beings is unique. Even the retinas of identical twins have different pattern. This property makes it ideal for retinal images to be used in biometric systems for the identification of persons. The goal of this project is to develop a person identification system based on the matching of retinal imag ...
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Existential risk from artificial general intelligence

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