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Intelligent tutoring systems survey | SpringerLink
Intelligent tutoring systems survey | SpringerLink

... tutor is commercially available from Advanced Computer Tutoring Inc . It is possible to argue that the architecture of ITS presented here is consistent with other proposals (Hartley & Sleeman, 1973 ; O'Shea et al ., 1984) . However, this is only on a superficial level as there seem to be major diffe ...
Artificial Intelligence
Artificial Intelligence

Interest-Matching Comparisons Using CP-nets Andrew W. Wicker
Interest-Matching Comparisons Using CP-nets Andrew W. Wicker

... The formation of internet-based social networks has revived research on traditional social network models as well as interest-matching, or match-making, systems. In order to automate or augment the process of interestmatching, we describe a method for the comparison of preference orderings represent ...
Artificial Intelligence Modelling: Data Driven and
Artificial Intelligence Modelling: Data Driven and

... Automated inferencing in knowledge based models can eliminate the pitfalls of intuitive reasoning and flaws of verbal theory building. These flaws stem primarily from the limits on the processing capacity of the human brain like the small short term memory or various biases that may distort the infe ...
• What are intelligent agents? • What are the features of an intelligent
• What are intelligent agents? • What are the features of an intelligent

... an agent must be capable of reacting appropriately to influences or information from its environment. – autonomy: an agent must have both control over its actions and internal states. The degree of the agent’s autonomy can be specified. There may need intervention from the user only for important de ...
A computer program capable of passing IQ tests
A computer program capable of passing IQ tests

... Dowe, http://plato.stanford.edu/entries/turing-test, 2003), was proposed as a way in which thinking or intelligence could be ascribed to any agent - including a computer program or machine - able to play the game. People routinely ascribe intelligence to humans and other animals by a variety of mean ...
Cognitive Decathlon
Cognitive Decathlon

... core capabilities of an athlete or warrior, the Cognitive Decathlon attempts to measure the core capabilities of an embodied cognitive human or agent. To enable an achievable capability level within the scope of the program, target behavior of a two-year old human toddler was selected. There were ma ...
How do humans process information?
How do humans process information?

... Gentner’s own research focuses on analogical processes in learning: e.g., how children learn to understand spatial models. She also studies language learning, including effects of spatial language on spatial cognition. Researcher David Uttal, psychology and education, studies the role of map learnin ...
Regulating Artificial Intelligence Systems
Regulating Artificial Intelligence Systems

... seem particularly unsuited to manage the risks associated with intelligent and autonomous machines. Ex ante regulation would be difficult because AI research and development may be discreet (requiring little physical infrastructure), discrete (different components of an AI system may be designed wit ...
B42010712
B42010712

... "expert" in the category of information it has been given to analyze. This expert can then be used to provide projections given new situations of interest and answer "what if" questions. so in this paper we tried to introduce a brief overview of ANN to help researchers in their way throw ANN. ...
Building a multimodal human-robot interface
Building a multimodal human-robot interface

... to respond only to commands addressed directly to it or to communal commands. For example, when a user addresses one of the robots, Coyote, with the utterance, “Coyote, go to the door,” only Coyote responds. Other robots, such as Roadrunner, process the utterance but will not act, because the comman ...
2009-2010 Assessment  for Master’s Degree Program Computer Science Dept.
2009-2010 Assessment for Master’s Degree Program Computer Science Dept.

... 0% 94% (CO534.3): Understand the concepts of an Access Control List and learn how to configure a router for ACLs. CSCI 538 Artificial Intelligence 0% 0% (CO538.1): To learn about general concepts in the field of artificial intelligence. 0% 0% (CO538.2): To learn ab ...
welcome to cis32 = artificial intelligence (AI) course objectives your
welcome to cis32 = artificial intelligence (AI) course objectives your

... – everything I say is NOT in the lecture notes, but anything I say MIGHT be on an exam or in a homework, so you need to take notes on what I say ...
Dance Choreography Design of Humanoid Robots using Interactive
Dance Choreography Design of Humanoid Robots using Interactive

my personal data form - UBC Computer Science
my personal data form - UBC Computer Science

... Mark Crowley, Brent Boerlage, David Poole, “Adding Local Constraints to Bayesian Networks”, Canadian AI Conference, May 2007. David Poole and Alan Mackworth, “Dimensions of Complexity of Intelligent Agents”, International Symposium on Practical Cognitive Agents and Robots, Perth, November 2006. Rita ...
Improving Construction and Maintenance of Agent-based
Improving Construction and Maintenance of Agent-based

... building such systems, some tools have been proposed, e.g. shells and application frameworks. Building expert systems by using shells offers significant advantages for experts/knowledge engineers. The rule base encoding is somewhat next to the natural language, and shells can be used directly since ...
Proceedings of the International Conference on
Proceedings of the International Conference on

... music regardless of the set of chords that was provided as a seed. We have yet to test jazz generation on more than four transpositions due to the extensive added training time required for transposing inputs to all twelve keys. Nonetheless, we are optimistic regarding our machine’s ability to handl ...
On the Non-Existence of a Universal Learning Algorithm for
On the Non-Existence of a Universal Learning Algorithm for

... We demonstrated that the loading problem not only is NP-complete - as shown for simple feed fOIward architectures in [Judd, 1990], [Lin and Vitter, 1991], [Blum and Rivest, 1992], etc. - but actually unSOlvable, i.e. that the training of (recurrent) neural networks is among those problems which "ind ...
The Evolutionary Emergence of Socially Intelligent Agents
The Evolutionary Emergence of Socially Intelligent Agents

... The use of coevolutionary models is fast becoming a dominant approach in the adaptive behavior field. This is essentially a response to the problems encountered when trying to use artificial selection to evolve complex behaviors. However, artificial selection has kept its hold so far − most systems ...
Characteristics of Computational Intelligence - CEUR
Characteristics of Computational Intelligence - CEUR

... have been presented by experts in psychology and AI, in addition to the popular notions about intelligence (which are presented in dictionaries and encyclopedias) and we extract different issues that are mentioned in them as characteristics of intelligence. Our survey shows that there are 28 distinc ...
CSCE 330 Programming Language Structures
CSCE 330 Programming Language Structures

... think… machines with minds,in the full and literal sense.” (Haugeland, 1985) “[The automation of] activities that we associate with human thinking, activities such as decision-making, Richard Bellman (1920-84) problem solving, learning…” (Bellman, 1978) ...
Artificial Intelligence - Computer Science & Engineering
Artificial Intelligence - Computer Science & Engineering

... think… machines with minds,in the full and literal sense.” (Haugeland, 1985) “[The automation of] activities that we associate with human thinking, activities such as decision-making, Richard Bellman (1920-84) problem solving, learning…” (Bellman, 1978) ...
E-Proceedings - Machine Ethics and Machine Law
E-Proceedings - Machine Ethics and Machine Law

Localized Satisfiability For Multi-Context Systems
Localized Satisfiability For Multi-Context Systems

... on individual boolean variables [6]. During the last decade enormous progress has been achieved in this field: state-of-the-art S AT solvers are able to process problems with tenths of thousands variables and a million clauses [20], and are applied in several industrial settings ...
A Comprehensive Survey on Machine Learning of Artificial Intelligence
A Comprehensive Survey on Machine Learning of Artificial Intelligence

... obtained from the learning system is often incomplete, reasoning is not entirely reliable which is carried out by reasoning. The rules summed up by reason is correct possibly, or not. This must be tested through the implementation of the effect [3]. The correct rules make the system efficiency impro ...
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History of artificial intelligence

The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen; as Pamela McCorduck writes, AI began with ""an ancient wish to forge the gods.""The seeds of modern AI were planted by classical philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols. This work culminated in the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain.The field of AI research was founded at a conference on the campus of Dartmouth College in the summer of 1956. Those who attended would become the leaders of AI research for decades. Many of them predicted that a machine as intelligent as a human being would exist in no more than a generation and they were given millions of dollars to make this vision come true. Eventually it became obvious that they had grossly underestimated the difficulty of the project. In 1973, in response to the criticism of James Lighthill and ongoing pressure from congress, the U.S. and British Governments stopped funding undirected research into artificial intelligence. Seven years later, a visionary initiative by the Japanese Government inspired governments and industry to provide AI with billions of dollars, but by the late 80s the investors became disillusioned and withdrew funding again. This cycle of boom and bust, of ""AI winters"" and summers, continues to haunt the field. Undaunted, there are those who make extraordinary predictions even now.Progress in AI has continued, despite the rise and fall of its reputation in the eyes of government bureaucrats and venture capitalists. Problems that had begun to seem impossible in 1970 have been solved and the solutions are now used in successful commercial products. However, no machine has been built with a human level of intelligence, contrary to the optimistic predictions of the first generation of AI researchers. ""We can only see a short distance ahead,"" admitted Alan Turing, in a famous 1950 paper that catalyzed the modern search for machines that think. ""But,"" he added, ""we can see much that must be done.""
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