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De La Salle University • College of Computer Studies Course
De La Salle University • College of Computer Studies Course

... 2. Analyze algorithms and higher-level control regimes for searching problem spaces; 3. Model knowledge from different domains using various knowledge representation schemes; 4. Analyze and compare the two most important approaches to machine learning; and 5. Build small to medium-sized intelligent ...
PowerPoint - University of Calgary
PowerPoint - University of Calgary

... •The focus is on developing prototypes very quickly with extensive testing and user communication. •With the traditional approach to software development: specifications (what the software is supposed to do) is determined at the start and fixed throughout the project. •With extreme programming: spec ...
Artificial Intelligence Introduction
Artificial Intelligence Introduction

... J: Sorry, sorry. Didn’t mean to offend. So, how old are you? ...
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Suggested Readings

... to be learned. Computer Supported Collaborative Learning The first two decades of work on intelligent tutoring systems was mostly focussed on one-to-one teaching to support a single student working alone. But most recent work has been involved with peer-to-peer teaching and the social framework in w ...
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Development (cont`d)

... Chess masters spend careers learning how to “evaluate” moves ...
Why Has Artificial Intelligence Failed? And How Can it Succeed?
Why Has Artificial Intelligence Failed? And How Can it Succeed?

... For machine translation (MT), the technology of the 1960s produced useful results [8]. At the 1964 World’s Fair, IBM demonstrated a system that translated Russian to English and printed both languages with the interchangeable bouncing balls of their Selectric typewriters. A competing system, the Geo ...
A Community College Blended Learning Classroom Experience
A Community College Blended Learning Classroom Experience

... programming tasks as the focal point for all activities. Students completed pre-lab exercises before class, completed active learning sheets in-class, and had a homework assessment on the related material after class. Our pre-lab exercises were less exploratory. Instead, the exercises explicitly tas ...
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... have been supervised, passive, and offline. We’re given a labeled dataset and need to construct a hypothesis. Sometimes our agent is not that lucky. Placed in an environment and forced to learn the best action to take in each state. The environment provides a reward to the agent, but never tells it ...
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How to Write an MSc Research Paper

... serious games by modifying their architecture to add subliminal educational messages in areas of science that many students find hard to comprehend (Williams, 2008). Another challenge has been finding the most effective way in which VLEs and serious games can respond to the students’ actions to ext ...
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Problem - Cognitive Tutor Authoring Tools

... actions and actions that represent wrong or suboptimal behavior (marked as such). The Behavior Recorder allows the author to roll back a problem solution to an earlier state and consider what alternative actions might have been taken at that point. Alternative courses of action are rendered as alter ...
As an art, music is older than mathematics
As an art, music is older than mathematics

... new minuets in the style of Bach simply pressing the Compose button in the program. Composed music can be played directly on a MIDI synthesizer if one is connected to the computer, or it can just play through a computers soundcard. PushBtnBach was one of the only programs I have mentioned so far tha ...
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Decision-Theoretic Planning for Intelligent User Interfaces

... possible state of the system’s interaction with the user. We have studied two problems in detail: (1) the presentation of location-aware navigation recommendations (Bohnenberger et al. 2002) and (2) the presentation of situation-dependent operating instructions for a technical device (Jameson et al. ...
Artificial Intelligence: CIT 246
Artificial Intelligence: CIT 246

... bulk of the data may come automatically, such as from readings.  In many AI domains people must supply the knowledge to programs in a form the people understand and in a form that is acceptable to the program.  It can be easily modified to correct errors and reflect changes in real conditions ...


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Understanding Naturally Conveyed Explanations

... sketched gestures, such as arrows. An arrow provides the geometric information about the path taken by an object and augments the representation of the motion that was inferred from the verbal utterances. Combining these cues makes it possible for the computer to generate causal models of devices wi ...
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View/Open

... This research has defined the nature of the problem where the increase of insider threats is not the frequency of incidents, but the damage and its cost of one incident at one time. The the research is an intelligent software agent as an economical tool that effectively detects insider threats. The ...
Artificial Intelligence
Artificial Intelligence

... knowledge representation, problem solving, reasoning, uncertainty, perception, and learning methods. Upon completion of this course, students should be able to develop intelligent systems by assembling solutions to concrete computational problems; understand the role of knowledge representation, pro ...
PHIL 280
PHIL 280

... The computer model of the human mind serves as a central unifying conceptual framework for the cognitive sciences, which lie at the intersection of philosophy, psychology, computer science, and brain science. This course proceeds from an introduction to computation theory, to some philosophy of mind ...
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From: AAAI Technical Report S-9 -0 . Compilation copyright © 199

... 1994, under the sponsorship of the AmericanAssociation for Artificial Intelligence (AAAI). This workshopfocussed on evaluation, broadly defined to include empirical evaluations of alternative components in CBRsystems, empirical comparisons involving CBRsystems, formal comparisons with other approach ...
ai - Dr. C. Lee Giles
ai - Dr. C. Lee Giles

... computers to augment human thinking, just as we use motors to augment human or horse power. Robotics and expert systems are major branches of that. The other is to use a computer's artificial intelligence to understand how humans think. In a humanoid way. If you test your programs not merely by what ...
CS 431: ARTIFICIAL INTELLIGENCE Today
CS 431: ARTIFICIAL INTELLIGENCE Today

... 1950s: Early AI programs including Samuel’s checkers program, Newell & Simon’s Logic theorist, Gelernter’s Geometry Engine 1956: Dartmouth meeting, “Artificial Intelligence” adopted 1965: Robinson’s complete algorithm for logical reasoning ...
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R The AAAI 2008 Robotics and Creativity

... on robotics and creativity are also efforts toward artificial intelligence. As robots and computer physical systems become more capable, they are increasingly useful in the study of creativity itself. Furthermore, machines have the capacity to expand the human creative palette, and robots have been ...
CS3014: Artificial Intelligence INTRODUCTION TO ARTIFICIAL
CS3014: Artificial Intelligence INTRODUCTION TO ARTIFICIAL

...  This course is about designing rational agents  Abstractly, an agent is a function from percept histories to actions: ...
CS3014: Artificial Intelligence INTRODUCTION TO ARTIFICIAL
CS3014: Artificial Intelligence INTRODUCTION TO ARTIFICIAL

...  This course is about designing rational agents  Abstractly, an agent is a function from percept histories to actions: ...
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13: The relationship between artificial intelligence and psychological

... of these definitions or the like has been accepted, perhaps because of their references to the word “intelligence, which at present is an abstract and immeasurable quantity. A better definition of artificial intelligence, therefore, calls for formalization of the term “intelligence”. Psychologist an ...
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Human-Computer Interaction Institute

The Human-Computer Interaction Institute (HCII) is a department within the School of Computer Science at Carnegie Mellon University (CMU) in Pittsburgh, Pennsylvania. It is considered one of the leading centers of human-computer interaction research,and was named one of the top ten most innovative schools in information technology by Computer World in 2008. For the past three decades, the institute has been the predominant publishing force at leading HCI venues, most notably ACM CHI, where it regularly contributes more than 10% of the papers. Research at the institute aims to understand and create technology that harmonizes with and improves human capabilities by integrating aspects of computer science, design, social science, and learning science.HCII offers Human Computer Interaction (HCI) as an additional major for undergraduates, as well as a master's degree and PhDs in HCI. Students from various academic backgrounds come together from around the world to participate in this program. Students hold undergraduate degrees in psychology, design, and computer science, as well as many others. Students enter the program at various stages in their academic and professional careers. HCII research and educational programs span a full cycle of knowledge creation. The cycle includes research on how people work, play, and communicate within groups, organizations, and social structures. It includes the design, creation, and evaluation of technologies and tools to support human and social activities.
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