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Apprenticeship Scheduling for Human
Apprenticeship Scheduling for Human

... However, there are a number of items I must consider in future work. First, domain experts may be able to manage resources equally well but do so in different ways. Prior work has reled on learning one model for each operator to account for inter-demonstrator disagreement (Sammut et al. 1992). In fu ...
Chapter 1 - Computer Science
Chapter 1 - Computer Science

... their implementations – Be able to develop AI applications • Python, LiSP, Prolog, CLIPS ...
ch10
ch10

... Machine learning still not as good as people in most cases, but in some cases can do better than people ...
using self-organising maps for anomalous behaviour detection in a
using self-organising maps for anomalous behaviour detection in a

... potential advantages [7]. Data mining is the synthesis of statistical modelling, database storage and artificial intelligence technologies [8]. It has produced good results in giving insight into large volumes of data. One ultimate goal of data mining is the prediction of human behaviour [8]. As a r ...
A Preliminary Investigation of Alien Presence
A Preliminary Investigation of Alien Presence

... meaning, the dominant or shared meaning, they can also be interpreted and used in ways that do not conform to this intended meaning. It is rarely the case that an artifact communicates equally to everyone. Instead, it speaks to specific sets of spectators tuned to particular aspects of the artifact. ...
AI Research at the Artificial Intelligence Laboratory, Massachusetts
AI Research at the Artificial Intelligence Laboratory, Massachusetts

... and codify these standard forms. For this purpose, they have developed a language-independent fomalism, called the plan calculus, in which these standard forms can be written down in a canonical and abstract way and used by an automatic programming system. Dr. Rich as compiled an initial library of ...
1 Beginnings of a revolution
1 Beginnings of a revolution

... Bayesian statistics to everyday problems. In many areas of life we are faced with the problem of planning and learning in the presence of uncertainty, and computational thinking ideas applied to “big data” have application in both science and commerce. How do we instruct a computer to solve a partic ...
I Had a Dream: AAAI Presidential Address, 19 August 1985
I Had a Dream: AAAI Presidential Address, 19 August 1985

... common sense knowledge as well as encyclopedic and expert knowledge and be structured to handle the learning and performance requirements mentioned above. (An effort of this sort headed by Doug Lenat at MCC uses common sense knowledge in a fundamental way and uses analogy to help with knowledge acqu ...
Knowledge-based expert systems : a brief bibliography
Knowledge-based expert systems : a brief bibliography

... This research was sponsored by the Defense Advanced Research Projects Agency (DOD), ARPA Order No. 3597, monitored by the Air Force Avionics Laboratory Under Contract F33615-78-C-1551. The views and conclusions contained in this document are those of the authors and should not be interpreted as repr ...
Intelligent Virtual Environments - A State-of-the
Intelligent Virtual Environments - A State-of-the

... itself. However, constraint programming in itself is not a reactive technique: it emulates reactivity because it can produce a solution quickly enough. The interaction cycle is determined by the speed at which new solutions are computed. In other words, the sampling rate of object manipulation in th ...
Reports of the AAAI 2011 Fall Symposia
Reports of the AAAI 2011 Fall Symposia

... research in the area. Proposals included flexible and scalable inference mechanisms, more natural approaches to acquiring knowledge over extended periods, techniques that interface general-purpose reasoning with specialized methods for spatial and visual processing, and motivational mechanisms that ...
Exponential Family Distributions
Exponential Family Distributions

... of which are qualitative and some quantitative. Annals of Statistics, 17:31–57, 1989. N. Lawrence, M. Milo, M. Niranjan, P. Rashbass, and S. Soullier. Reducing the variability in microarray image processing by Bayesian inference. Technical report, Department of Computer Science, University of Sheffi ...
The Nursing Specialist Group Information Technology in Nursing
The Nursing Specialist Group Information Technology in Nursing

... systems process 'knowledge'. For this reason, expert systems are also called ‘Knowledge Based Systems' (KBS). The most well known medical example is MYCIN.' This expert system was developed at Stanford University in 1976 to aid physicians in diagnosing and treating patients with infectious blood dis ...
Computational Intelligence
Computational Intelligence

... Historically the hard core of AI was established during the Dartmouth Conference in 1956 when leading researchers such as John McCarthy, Alan Newell, Herbert Simon, and others from different disciplines, formed the new scientific community of AI. They all were inspired by Turing's question "Can mach ...
reja: a georeferenced hybrid recommender system for
reja: a georeferenced hybrid recommender system for

... In order to mitigate this drawback, a common solution is hybridizing different models of recommendation, such that they complement each other to overcome their own drawbacks. In this contribution, we propose a commuted hybrid recommender system, called REJA (REstaurants of JAén), that hybridize a co ...
Out of Context - Media Lab Login
Out of Context - Media Lab Login

... type a word following an abbreviation. By itself, that's not so bad. But this gets even more frustrating as the user tries to undo the "correction" and is repeatedly "re-corrected". One can take this as an argument not to do the correction at all. But perhaps the cure is more contextsensitivity rath ...
Syllabus Sem.I-IV
Syllabus Sem.I-IV

... A>A student is expected to prepare a write-up on the recent advances in INFORMATION TECHNOLOGY. This could be based upon is own experience an article read a visit to an industry /research institute or even may be based upon a discussion with experts. This write-up has to be attached at the end of th ...
Common Sense and Artificial Intelliegence
Common Sense and Artificial Intelliegence

... conclusion. Queries With No Answer Query: “At this instance of time, Is Alice inhaling or Exhaling?” • The Cyc system is intelligent enough to figure out queries which can never be answered correctly. Example taken from Google Techtalk by Doug Lenat, may 2006 ...
A Survey of Artificial Intelligence in Software Engineering
A Survey of Artificial Intelligence in Software Engineering

... various phases and requires an executable code. Human beings have been writing a code for the development of the software for a long time and no machine can yet do better.AI is the process of creating an intelligent machines that perform tasks done by human beings. Artificial intelligence technique ...
curriculum vita - Dr. Ahmed Ayoub Web Site
curriculum vita - Dr. Ahmed Ayoub Web Site

... The information consists of one of the two partial amounts (B) and the points which are free in the matrix by the first part (B) are filled by the diffraction grids (C1,... cj) which form the two partial amounts (C). The invention also relates to reducing crosstalk in a safe manner. When the diffrac ...
1. INTRODUCTION Automatic Goal-Directed Progrem
1. INTRODUCTION Automatic Goal-Directed Progrem

... 1. Balzer, R., Goldman, N., and Wile, D. On the Transformational ...
Can Computers Think?
Can Computers Think?

... biological approaches to biological phenomena. Indeed, it is a kind of commonsense answer to the question, given what we know about how the world works. However, it is very much a minority point of view. The prevailing view in philosophy, psychology, and artificial intelligence is one which empha" o ...
Major AI Research Areas - Cognitive Computing Research Group
Major AI Research Areas - Cognitive Computing Research Group

... logically equivalent in defining computability, that is, for specifying those problems that can be solved by a program running on a computer. The Turing machine proved to be the most useful formalization, and is the one most often used in theoretical computer science. In 1950 Turing published the ve ...
Use of Artificial Intelligence in Software Development Life
Use of Artificial Intelligence in Software Development Life

... method is that most of the existing literature frequently employ the Mean Squared Error (MSE) for estimation evaluation, however it may be used to drive the model in the training process, but it cannot be considered a conclusive measure for comparison of different models. An experimental validation ...
SCHEME OF INSTRUCTION & EXAMINATION
SCHEME OF INSTRUCTION & EXAMINATION

... a. To impart knowledge of the principles of Artificial Intelligence b. To impart proficiency in the techniques for knowledge representation and inference c. To cover issues and techniques involved in the creation of Intelligent Systems. d. To cover various applications like Game Playing, Expert Syst ...
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Wizard of Oz experiment

In the field of human-computer interaction, a Wizard of Oz experiment is a research experiment in which subjects interact with a computer system that subjects believe to be autonomous, but which is actually being operated or partially operated by an unseen human being.
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