Expert systems
... would require intelligence if done by men’ (accredited to Minsky). The beginning of the modern field of artificial intelligence is often traced to the so-called Dartmouth conference in 1956, organized by John McCarthy and Marvin Minsky. McCarthy at Stanford University, and Minsky at the Massachusett ...
... would require intelligence if done by men’ (accredited to Minsky). The beginning of the modern field of artificial intelligence is often traced to the so-called Dartmouth conference in 1956, organized by John McCarthy and Marvin Minsky. McCarthy at Stanford University, and Minsky at the Massachusett ...
The Synergy of Human and Artificial Intelligence in Software
... intensive human efforts and impose burden on human intelligence. To reduce human efforts and burden on human intelligence in these activities, Artificial Intelligence (AI) techniques, which aim to create software systems that exhibit some form of human intelligence, have been employed to assist or a ...
... intensive human efforts and impose burden on human intelligence. To reduce human efforts and burden on human intelligence in these activities, Artificial Intelligence (AI) techniques, which aim to create software systems that exhibit some form of human intelligence, have been employed to assist or a ...
Learning-Based Planning
... The first approaches to learn domain-specific planners were based on supervised inductive learning; they used genetic programming (Spector, 1994) and decision-list learning (Khardon, 1999), but they were not able to reliably produce good results. Recently, (Winner & Veloso, 2003) presented a differe ...
... The first approaches to learn domain-specific planners were based on supervised inductive learning; they used genetic programming (Spector, 1994) and decision-list learning (Khardon, 1999), but they were not able to reliably produce good results. Recently, (Winner & Veloso, 2003) presented a differe ...
How AI is affecting kids` brains
... products can be developed. And yet amongst the rapid onslaught of innovation and novelty, as the relationships we have with each other and with our technology evolve and change, questions about what exactly it is we’re trading in for entertainment and convenience persist. Do smartphones disconnect u ...
... products can be developed. And yet amongst the rapid onslaught of innovation and novelty, as the relationships we have with each other and with our technology evolve and change, questions about what exactly it is we’re trading in for entertainment and convenience persist. Do smartphones disconnect u ...
Belief-optimal Reasoning for Cyber
... I’ve picked a password between 3 and 8 alphanumeric characters that I’ll never forget. Guess it. ...
... I’ve picked a password between 3 and 8 alphanumeric characters that I’ll never forget. Guess it. ...
Chapter 10
... Biology and psychology Linguistics and mathematics All of the choices are correct. ...
... Biology and psychology Linguistics and mathematics All of the choices are correct. ...
A Successful Interdisciplinary Course on Computational Intelligence
... topics covered include particle network training. swarm optimization [14, 15] , ant colony optimization [16] and bacteria foraging [17]. These The CI course is implemented and taught as a semester algorithms are introduced and their numerous applications are course, usually within sixteen weeks. The ...
... topics covered include particle network training. swarm optimization [14, 15] , ant colony optimization [16] and bacteria foraging [17]. These The CI course is implemented and taught as a semester algorithms are introduced and their numerous applications are course, usually within sixteen weeks. The ...
Decision Support System
... 4. Define expert systems and the type of situation to which they are applicable 5. Define neural network and genetic algorithm, and explain how each works and the type of situation to which each is applicable 6. Describe the types and uses of intelligent agents ...
... 4. Define expert systems and the type of situation to which they are applicable 5. Define neural network and genetic algorithm, and explain how each works and the type of situation to which each is applicable 6. Describe the types and uses of intelligent agents ...
Cognitive Requirements for Agent
... in the agent(s) in terms of believability, competence, and trust. The Guides [7] project (as discussed by [8]) is an anecdotal study that investigated the issue of believability for agent-like computer programs. The project involved the design of an interface to a CD ROM encyclopedia (focusing on ea ...
... in the agent(s) in terms of believability, competence, and trust. The Guides [7] project (as discussed by [8]) is an anecdotal study that investigated the issue of believability for agent-like computer programs. The project involved the design of an interface to a CD ROM encyclopedia (focusing on ea ...
How we think about meaning, and what`s wrong with it
... reduction of semantics to syntax. As Haugeland put it, “If you take care of the syntax, the semantics will take care of itself.” An early, celebrated example of syntactic, fauxmeaning was Weizenbaum’s Eliza system. You could chat with Eliza by typing sentences, to which Eliza would respond with comm ...
... reduction of semantics to syntax. As Haugeland put it, “If you take care of the syntax, the semantics will take care of itself.” An early, celebrated example of syntactic, fauxmeaning was Weizenbaum’s Eliza system. You could chat with Eliza by typing sentences, to which Eliza would respond with comm ...
CMSC 372 Artificial Intelligence
... • An agent should strive to "do the right thing", based on what it can perceive and the actions it can perform. The right action is the one that will cause the agent to be most successful • Performance measure: An objective criterion for success of an agent's behavior • E.g., performance measure of ...
... • An agent should strive to "do the right thing", based on what it can perceive and the actions it can perform. The right action is the one that will cause the agent to be most successful • Performance measure: An objective criterion for success of an agent's behavior • E.g., performance measure of ...
Principles of Artificial Intelligence
... We will have a theory of intelligence when we have computer programs (information processing models) that display intelligence AI is about Study of computational models of intelligence Falsifiable hypotheses about intelligent behavior Construction of intelligent artifacts (agents) Mechanizat ...
... We will have a theory of intelligence when we have computer programs (information processing models) that display intelligence AI is about Study of computational models of intelligence Falsifiable hypotheses about intelligent behavior Construction of intelligent artifacts (agents) Mechanizat ...
John McCarthy`s Advice Taker - Computer Science & Engineering
... Common sense database: open mind common sense • In 1999, Common Sense Computing Initiative began at the MIT Media Lab to collect common sense from volunteers on the internet. • Now, the English site has over a million sentences ...
... Common sense database: open mind common sense • In 1999, Common Sense Computing Initiative began at the MIT Media Lab to collect common sense from volunteers on the internet. • Now, the English site has over a million sentences ...
A Survey of the Application of Soft Computing to Investment and
... which attempted to exploit the synergy effect by combining more than one of the above styles. There is a wide acceptance of the benefit of the synergy effect, whereby the whole is seen as being greater than the sum of the individual parts. This can be easily seen by inspecting Table 1, which clearly ...
... which attempted to exploit the synergy effect by combining more than one of the above styles. There is a wide acceptance of the benefit of the synergy effect, whereby the whole is seen as being greater than the sum of the individual parts. This can be easily seen by inspecting Table 1, which clearly ...
Semantic Networks: Visualizations of Knowledge
... where the target of the mapping is some formal construct that uses mathematical, or at least, abstract ideas. The formal construct is often mant to capture the nature of the real world in some way, but it is not, in fact the real world.Typically this is done for symbolic systems such as formal logic ...
... where the target of the mapping is some formal construct that uses mathematical, or at least, abstract ideas. The formal construct is often mant to capture the nature of the real world in some way, but it is not, in fact the real world.Typically this is done for symbolic systems such as formal logic ...
Machine Learning Basics: 1. General Introduction
... A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at the tasks improves with the experiences Machine Learning Basics: 1. General Introduction ...
... A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at the tasks improves with the experiences Machine Learning Basics: 1. General Introduction ...
Let the System Learn a Game: How Can FCA Optimize a Cognitive Memory Structure
... algorithms fitted to machines, thus bypassing human skills in problem solving [12]. If the first trend seems nowadays set aside because of its too many failures, this paper attempts to revive some of its claims, by constraining the project to a very simple task. This task, a REVERSI board game [7], ...
... algorithms fitted to machines, thus bypassing human skills in problem solving [12]. If the first trend seems nowadays set aside because of its too many failures, this paper attempts to revive some of its claims, by constraining the project to a very simple task. This task, a REVERSI board game [7], ...
Machine Learning Basics: 1. General Introduction
... A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at the tasks improves with the experiences Machine Learning Basics: 1. General Introduction ...
... A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at the tasks improves with the experiences Machine Learning Basics: 1. General Introduction ...
Artificial intelligence - University of London International Programmes
... However, in practice there is a great deal of variation in what is considered intelligent, and how intelligence should be achieved. Russell and present eight different definitions of the field that reflect these differences: 1. ’ ... effort to make computers think ... ’ (Haugeland, 1985) 2. ’[The au ...
... However, in practice there is a great deal of variation in what is considered intelligent, and how intelligence should be achieved. Russell and present eight different definitions of the field that reflect these differences: 1. ’ ... effort to make computers think ... ’ (Haugeland, 1985) 2. ’[The au ...
Motivated_Learning_BARCELONA
... 2010 International Joint Conference on Neural Networks, Barcelona ...
... 2010 International Joint Conference on Neural Networks, Barcelona ...
The role of artificial intelligence techniques in training
... 1. The major contribution of AI to educational and training software is the possibility to model expertise. This expertise is the main feature of AI-based courseware: the system is able to solve the problems that the learner has to solve. The system is knowledgeable in the domain to be taught. Of c ...
... 1. The major contribution of AI to educational and training software is the possibility to model expertise. This expertise is the main feature of AI-based courseware: the system is able to solve the problems that the learner has to solve. The system is knowledgeable in the domain to be taught. Of c ...
Karlsruhe Text - Tecfa
... Different motivations led scientists to apply artificial intelligence (AI) techniques to educational software and training software. On one hand, courseware developers were seeking for more powerful techniques for building systems. On the other hand, researchers in computer science and in cognitive ...
... Different motivations led scientists to apply artificial intelligence (AI) techniques to educational software and training software. On one hand, courseware developers were seeking for more powerful techniques for building systems. On the other hand, researchers in computer science and in cognitive ...
