Explaining the Ineffable
... occurs, the next task in building a theory of it is to design a computer program (or find one already built) that will solve some problems intuitively - as determined by exactly the same criteria as we employ to determine when people are using intuition. The program will solve these problems, if the ...
... occurs, the next task in building a theory of it is to design a computer program (or find one already built) that will solve some problems intuitively - as determined by exactly the same criteria as we employ to determine when people are using intuition. The program will solve these problems, if the ...
Components of KBS
... Neurons are organized in networks with layers A neural network associates inputs (problem description) to outputs (solution of the problem) A neural network has to be trained (using solved problems) in order to learn how to solve the problem (association) ...
... Neurons are organized in networks with layers A neural network associates inputs (problem description) to outputs (solution of the problem) A neural network has to be trained (using solved problems) in order to learn how to solve the problem (association) ...
GO: Review of Work that has been done in this Area
... This led to problems with the program’s underestimation of losing – or being ‘gammoned.’ BACKGAMMON: Current State of the Art TD-Gammon Vs. 3.0, written by Gerry Tesauro of IBM, replaced an earlier version of the game called Neurogammon. The program plays at a higher level than Neurogammon and has r ...
... This led to problems with the program’s underestimation of losing – or being ‘gammoned.’ BACKGAMMON: Current State of the Art TD-Gammon Vs. 3.0, written by Gerry Tesauro of IBM, replaced an earlier version of the game called Neurogammon. The program plays at a higher level than Neurogammon and has r ...
Registration Brochure - Association for the Advancement of Artificial
... ■ Computational Approaches to Representation Change during Learning and Development (4) Emergent Agents and Socialities: Social and Organizational Aspects of Intelligence (5) ...
... ■ Computational Approaches to Representation Change during Learning and Development (4) Emergent Agents and Socialities: Social and Organizational Aspects of Intelligence (5) ...
CS437
... the brilliant Hungarian-born mathematician. In 1930, he joined the Princeton University, lecturing in mathematical physics. He was an adviser for the Electronic Numerical Integrator and Calculator project at the University of Pennsylvania and helped to design the Electronic Discrete Variable Calcula ...
... the brilliant Hungarian-born mathematician. In 1930, he joined the Princeton University, lecturing in mathematical physics. He was an adviser for the Electronic Numerical Integrator and Calculator project at the University of Pennsylvania and helped to design the Electronic Discrete Variable Calcula ...
slides
... • Self-growing chat index using new conversations from users • 26% of chat index and served 45% online traffic Learned from users ...
... • Self-growing chat index using new conversations from users • 26% of chat index and served 45% online traffic Learned from users ...
Using Multi-Agent Strategies to Solve a Blocks
... planning artificial intelligence solutions. In Blocks World, the goal is to convert all the stacks of blocks from an initial configuration to another configuration of blocks stacked upon one another. They are moved by a robot arm, which can only move one block at a time, from the top of one stack, t ...
... planning artificial intelligence solutions. In Blocks World, the goal is to convert all the stacks of blocks from an initial configuration to another configuration of blocks stacked upon one another. They are moved by a robot arm, which can only move one block at a time, from the top of one stack, t ...
Informed Search.pps
... ABSolver found a usefull heuristic for the rubic cube. EA C461 Artificial Intelligence ...
... ABSolver found a usefull heuristic for the rubic cube. EA C461 Artificial Intelligence ...
Managing the Ethical and Risk Implications of Rapid Advances in
... mathematical computation, disease identification, medical treatment, nuclear simulation, weather prediction, and other fields [10]. Artificial General Intelligence (Superintelligence; AGI) are those AI that can respond to a variety of previously unspecified situations, no matter how novel they are o ...
... mathematical computation, disease identification, medical treatment, nuclear simulation, weather prediction, and other fields [10]. Artificial General Intelligence (Superintelligence; AGI) are those AI that can respond to a variety of previously unspecified situations, no matter how novel they are o ...
AI Magazine - Spring 2016
... lan Turing (Turing 1950) approached the abstract question can machines think? by replacing it with another, namely can a machine pass the imitation game (the Turing test). In the years since, this test has been criticized as being a poor replacement for the original enquiry (for example, Hayes and F ...
... lan Turing (Turing 1950) approached the abstract question can machines think? by replacing it with another, namely can a machine pass the imitation game (the Turing test). In the years since, this test has been criticized as being a poor replacement for the original enquiry (for example, Hayes and F ...
The Synergy of Human and Artificial Intelligence in Software
... To reduce human efforts and burden on human intelligence in software-engineering activities, Artificial Intelligence (AI) techniques have been employed to assist or automate these activities. Typically human’s domain knowledge can serve as starting points for designing AI techniques. Furthermore, th ...
... To reduce human efforts and burden on human intelligence in software-engineering activities, Artificial Intelligence (AI) techniques have been employed to assist or automate these activities. Typically human’s domain knowledge can serve as starting points for designing AI techniques. Furthermore, th ...
CS-INFO 372: Explorations in Artificial Intelligence
... • The halting problem is a decision problem which can be stated as follows: – Given a description of a program and a finite input, decide whether the program finishes running or will run forever, given that input. ...
... • The halting problem is a decision problem which can be stated as follows: – Given a description of a program and a finite input, decide whether the program finishes running or will run forever, given that input. ...
Introduction of Artificial Moral Agent Incorporating Soar and Global
... - Development of Artificial Moral Agent integrating Soar and ROS referring to morality of 10-years-old human level - Application of AMA to social/care robots - Establishment of Moral Turing Test with suitable scenarios - Preparation of Functional Morality for certification of commercial robots ...
... - Development of Artificial Moral Agent integrating Soar and ROS referring to morality of 10-years-old human level - Application of AMA to social/care robots - Establishment of Moral Turing Test with suitable scenarios - Preparation of Functional Morality for certification of commercial robots ...
Jos Uiterwijk - Van der Waals
... Schaker, translated (1965) as Thought and Choice in Chess Jos Uiterwijk ...
... Schaker, translated (1965) as Thought and Choice in Chess Jos Uiterwijk ...
Lecture#1 slides - Computer Science
... Two main streams of definitions Define an agent in isolation Define an agent in the context of a society of agents social dimension MAS Two types of definitions Does not necessary incorporate intelligence Must incorporate a kind of IA behaviour intelligent agents ...
... Two main streams of definitions Define an agent in isolation Define an agent in the context of a society of agents social dimension MAS Two types of definitions Does not necessary incorporate intelligence Must incorporate a kind of IA behaviour intelligent agents ...
Filename: sloman-clowestribute
... unassessed optional first year course for students majoring in Humanities and Social Science subjects. By making the computer do some of the things people can do, like play games, make plans, analyse sentences, interpret pictures, the students learn to ...
... unassessed optional first year course for students majoring in Humanities and Social Science subjects. By making the computer do some of the things people can do, like play games, make plans, analyse sentences, interpret pictures, the students learn to ...
What is rule-based reasoning
... Software code which processes the rules, cases, objects or other type of knowledge and expertise based on the facts of a given situation. Most AI tools contain some form of deductive or inductive reasoning capability. What is an expert system? Simply put, an expert system represents information and ...
... Software code which processes the rules, cases, objects or other type of knowledge and expertise based on the facts of a given situation. Most AI tools contain some form of deductive or inductive reasoning capability. What is an expert system? Simply put, an expert system represents information and ...
The applicability of Business Intelligence systems in the support of
... (68%). Somewhat less frequently used in the analysis are compliance/corporate governance issues (46%) and early warning systems (44%). Fewer than one in three companies (29%) incorporate legal/ regulatory reporting. The survey also showed that "BI usage still seems to be restricted to management lev ...
... (68%). Somewhat less frequently used in the analysis are compliance/corporate governance issues (46%) and early warning systems (44%). Fewer than one in three companies (29%) incorporate legal/ regulatory reporting. The survey also showed that "BI usage still seems to be restricted to management lev ...
also available as Word 2000 ()
... incomplete, multi-dimensional (both space/ time dimensional, and having a large number of simultaneous features), etc. Fuzzy pattern matching helps deal with pattern variability and noise. Another essential requirement of general intelligence is to cope with an overabundance of data. Reality present ...
... incomplete, multi-dimensional (both space/ time dimensional, and having a large number of simultaneous features), etc. Fuzzy pattern matching helps deal with pattern variability and noise. Another essential requirement of general intelligence is to cope with an overabundance of data. Reality present ...
The Relevance of Artificial Intelligence for Human Cognition
... motor coordination, perception, emotions, or goal generation of autonomous agents. It seems to be the case that these aspects of human cognition do not have simple solutions that can be straightforwardly implemented in a machine. Therefore, human cognition is often considered as a reservoir for new ...
... motor coordination, perception, emotions, or goal generation of autonomous agents. It seems to be the case that these aspects of human cognition do not have simple solutions that can be straightforwardly implemented in a machine. Therefore, human cognition is often considered as a reservoir for new ...
Some Elements for a Prehistory of Artificial Intelligence in the Last
... page after one reads: “We must not therefore think that computation, that is, ratiocination, has place only in numbers, as if men were distinguished from other living creatures (which is said to have been the opinion of Pythagoras) by nothing but the faculty of numbering; for magnitude, body, motion ...
... page after one reads: “We must not therefore think that computation, that is, ratiocination, has place only in numbers, as if men were distinguished from other living creatures (which is said to have been the opinion of Pythagoras) by nothing but the faculty of numbering; for magnitude, body, motion ...
Ryan Whitehead Bot Talk In my project, “Bot Talk” we see the
... In my project, “Bot Talk” we see the change in text bots as they are asked different questions, learn from past conversations and are asked tough questions. First, my project is all about bots. “Bots” or “robots”, are simply artificial intelligence. In this case it is just a bot that can hold a simp ...
... In my project, “Bot Talk” we see the change in text bots as they are asked different questions, learn from past conversations and are asked tough questions. First, my project is all about bots. “Bots” or “robots”, are simply artificial intelligence. In this case it is just a bot that can hold a simp ...
Tell me and I forget. Show me and I remember. Involve me
... Magazine (December 2003). "Intelligent tutoring systems are not new, but they are limited; unlike flesh-and-blood tutors, they can't tell if you're bored, frustrated, engrossed, or angry and then adjust the teaching accordingly. That's why MIT has been working to add such capability to two systems. ...
... Magazine (December 2003). "Intelligent tutoring systems are not new, but they are limited; unlike flesh-and-blood tutors, they can't tell if you're bored, frustrated, engrossed, or angry and then adjust the teaching accordingly. That's why MIT has been working to add such capability to two systems. ...
What is AI?
... Mathematics and Philosophy to Modern AI Problems: 1. Not all intelligent behavior is mediated by logical deliberation 2. What is the purpose of thinking? What thoughts should I have? ...
... Mathematics and Philosophy to Modern AI Problems: 1. Not all intelligent behavior is mediated by logical deliberation 2. What is the purpose of thinking? What thoughts should I have? ...
Vision: Semantic Routing
... choose a network or protocol (internet, PSTN, GSM) specify a destination (phone number, URL) decompose the request (find information, book, pay) consider alternatives (air, train, bus) find a service provider (travel agent, booking site) ...
... choose a network or protocol (internet, PSTN, GSM) specify a destination (phone number, URL) decompose the request (find information, book, pay) consider alternatives (air, train, bus) find a service provider (travel agent, booking site) ...
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.""↑ ↑ ↑ ↑ ↑ ↑