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1 Introduction.
1 Introduction.

... Fifty-five years since British mathematician Alan Turing raised the question “can a machine think?” (Turing, 1950) we find that his spirit is alive in not one but two contests for machine intelligence: Loebner, Chatterbox. Both involve a conversational imitation game allowing machines to “talk like ...
Artificial Intelligence and Expert Systems
Artificial Intelligence and Expert Systems

... Artificial Intelligence (4) computer and talk to it. Unfortunately, programming computers to understand natural languages has proved to be more difficult than originally thought. Some rudimentary translation systems that translate from one human language to another are in existence, but they are no ...
1010-Chapter11 - ODU Computer Science
1010-Chapter11 - ODU Computer Science

... Artificial Intelligence (4) computer and talk to it. Unfortunately, programming computers to understand natural languages has proved to be more difficult than originally thought. Some rudimentary translation systems that translate from one human language to another are in existence, but they are no ...
Intelligent Techniques in Decision Making: A Survey
Intelligent Techniques in Decision Making: A Survey

... has been found as which technique could be employed for a particular problem to elicit the desired knowledge out of it. Application/Improvements: This study can be helpful for designing an intelligent decision system which can be tailored for the organizations basing on their domain and nature of da ...
View/Open
View/Open

... The Intelligent Agent Monitoring Inference Engine (IAMIE) is a one-tool solution to detect and respond to insider threats while making use of already in-place operating system (OS) components, in this research it is Windows. The software agent produces cognitive units of programming object classes ( ...
chapter 2 - TEST BANK 360
chapter 2 - TEST BANK 360

... a. In considering the consequences, we are considering the effects that performing an action or following a rule can have. But the effects on whom or on what? On humans? On all sentient creatures? On ecosystems? b. What sorts of consequences should we be interested in? For instance, John Stuart Mill ...
Learning from Observations
Learning from Observations

... • Behaviours w hich result from the interact ion betw een the agent function and the environment can be termed emergent behaviours. • Some particularly int eresting emergent behav iours occu r w hen several agents are placed in the same environment. – The act ions of each individu al agent changes t ...
IDA: A Cognitive Agent Architecture
IDA: A Cognitive Agent Architecture

... IDA is very much a multi-agent system, the agents being the codelets that underlie all the higher level constructs and that ultimately perform all of IDA’s actions. We’ve mentioned the codelets that underlie behaviors. Others underlie slipnet nodes and perform actions necessary for constructing IDA’ ...
Mind, computational theories of
Mind, computational theories of

... some of the most important research in current cognitive science, for example, theories of artificial intelligence, perception, decision making and linguistics. CTM involves a number of important ideas. (1) Computations can be defined over syntactically specifiable symbols (that is, symbols specifie ...
The Phil of AI 2 - Digital Encyclopedia of Charles S. Peirce
The Phil of AI 2 - Digital Encyclopedia of Charles S. Peirce

... most important research concerned the limitations of proof within mathematics, where he proposed that the boundaries of the computable (of mathematical problems whose solutions were obtainable on the basis of finite applications of logical rules) were the same as those that can be solved using a sp ...
Lecture 1 Introduction to knowledge
Lecture 1 Introduction to knowledge

... Sometimes we make very intelligent decisions but sometimes we also make very silly mistakes. Some of us deal with complex mathematical and engineering problems but are moronic in philosophy and history. Some people are good at making money, while others are better at spending it. As humans, we all h ...
Cognitive Robotics - Cognitive Science Department
Cognitive Robotics - Cognitive Science Department

... • Cognitive robotics (CR) is concerned with endowing robots with mammalian and human-like cognitive capabilities to enable the achievement of complex goals in complex environments. Cognitive robotics is focused on using animal cognition as a starting point for the development of robotic computationa ...
Unsupervised Learning
Unsupervised Learning

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Note13 - Computer Science
Note13 - Computer Science

... Objectives This part provides an introduction to some main strategies and methods used in artificial intelligence systems. The topics include the history and applications of AI, logical reasoning, state space searching, heuristic searching, game playing, expert systems, and problem solving methods. ...
The Promise of Artificial Intelligence Unfolds in Small Steps
The Promise of Artificial Intelligence Unfolds in Small Steps

... of a long-forgotten A.I. start-up in the 1980s. “Expectations are way ahead of reality.” The term A.I. has long been a staple of science fiction — as machines that think for themselves and help humankind or as ungrateful creations that try to wipe us out. Or so the thinking at the movies goes. The r ...
Presentation
Presentation

... For Aristotle, the soul was not, as it was for Plato, an immortal entity distinct from the body, but was instead was a phenomenon of the physical world (the world of matter) that arose when the elements of matter combined in particular and special ways. The soul in human beings had three functions: ...
Chapter 9
Chapter 9

... Because a strategy that is unethical is morally wrong and reflects badly on the character of the firm’s personnel. ...
Designing an Automated Negotiator: Learning What to Bid and
Designing an Automated Negotiator: Learning What to Bid and

... Appears in: Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2013), Ito, Jonker, Gini, and Shehory (eds.), May, ...
ARTIFICIAL INTELLIGENCE: IMPLICATIONS FOR CHINA
ARTIFICIAL INTELLIGENCE: IMPLICATIONS FOR CHINA

... for learning, enabling them to adapt to new data inputs without being explicitly reprogrammed. Today many machine learning systems have already been developed for commercial use. The applications are tremendously varied, and adoption is growing rapidly in sectors such as finance, health care, and ma ...
Utilitarianism
Utilitarianism

... Quantification and measurability of “the good”  Incommensurate notions of “the good”  Ignores other, morally relevant considerations (e.g., human rights, and justice – distribution of “the good”)  Difficult and often inconsistent in practice to solve for U(x) and maximize this variable  Obligati ...
Ethics and Moral Values
Ethics and Moral Values

... our place in the scheme of things. And they are important to us as we try to choose right actions in a complicated and difficult world, and to find meaning in our lives. These are not trivial projects.” ...
Controlling a mobile robot with Visual Prolog 7
Controlling a mobile robot with Visual Prolog 7

... This paper describes a practical realization of a simple declarative model for controlling a technical object – a mobile robot, which was built at the Robotics and Artificial Intelligence Laboratory of the State Polytechnic Museum under Technics PhD Valery Karpov and Technics PhD Dmitry Dobrynin. St ...
Cases 2: Critical reasoning
Cases 2: Critical reasoning

... personal taste? – In reality we do seem to treat moral positions as if they could be either true or false (eg when we try to convince someone of our conclusion). – Morals do seem to be based on reason as much as feeling – Where we use an evaluative adjective (like the cruel treatment of the mouse in ...
The Cost of AI - Matt Mahoney`s Home Page
The Cost of AI - Matt Mahoney`s Home Page

... We assume that a human brain sized neural network is required. We do not know this with  certainty, but we do know that the best known solutions to hard problem like vision and  language use algorithms based on neural networks that run on thousands of processors, for  example (Ferrucci, 2010; Gorrel ...
Artificial Intelligence
Artificial Intelligence

... ≪ The art of creating machines that perform functions that require intelligence when performed by people. ≫ (Kurzweil, 1990) ≪ The study of how to make computers do things at which, at the moment, people are better. ≫ (Rich and Knight, 1991) Acting rationally ≪ Computational intelligence is the stud ...
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Ethics of artificial intelligence

The ethics of artificial intelligence is the part of the ethics of technology specific to robots and other artificially intelligent beings. It is typically divided into roboethics, a concern with the moral behavior of humans as they design, construct, use and treat artificially intelligent beings, and machine ethics, concern with the moral behavior of artificial moral agents (AMAs).
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