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Camera-ready Manuscript for the Proceedings of icame 2009
Camera-ready Manuscript for the Proceedings of icame 2009

... means that it has control over personal actions and inner state. Such system should also be capable of learning by experience. Possibility of interaction with the surroundings and autonomy of computer systems is not a new idea. There are already many systems of that kind, such as programmes for real ...
III. Symbolic AI as a Degenerating Research Program
III. Symbolic AI as a Degenerating Research Program

... taken to be progress towards their goal. My brother at RAND quipped, “It's like claiming that the first monkey that climbed a tree was making progress towards flight to the moon.” It turned out that competent people do, indeed, follow rules so the computer could be programmed to exhibit competence, ...
types of information systems
types of information systems

... decision when a decision-making situation arises. A variety of DSSs exist to help with a range of decisions. A decision support system uses data from internal and/or external sources. Internal sources of data might include sales, manufacturing, inventory, or financial data from an organization’s dat ...
Chapter 11
Chapter 11

...  Digital asset management systems (work with digital objects)  Knowledge network systems (expertise location and management system; hold information from experts in the firm)  Collaboration tools and learning management systems (LMS) (tools for various types of learning and training)  Social boo ...
Autonomous Learning of User's Preferences improved through User Feedback
Autonomous Learning of User's Preferences improved through User Feedback

... core of this system is AP U BS , an algorithm that discovers patterns using the information collected by sensors. The language LP U BS included within PUBS provides a standard framework to represent patterns with clear syntax and facilitates the definition of algorithms as well as the interaction wi ...
Stanford Turing`s 1950 paper [I]. Newell, Shaw
Stanford Turing`s 1950 paper [I]. Newell, Shaw

... Another early problem domain was theorem proving in logic. This is important for two reasons. First, it provides another area in which our accomplishments in artificial intelligence can be compared with human intelligence. Again the results obtained depend on what intellectual mechanisms the theorem ...
Priti Srinivas Sajja Rajendra Akerker
Priti Srinivas Sajja Rajendra Akerker

... navigation process in a virtual world is elaborated. This chapter presents the possibilities of using neural networks as a tool for studying spatial navigation within virtual worlds. The benefits of this approach and the possibility of extending the methodology to the study of navigation in Human Co ...
Introduction
Introduction

... Planning and scheduling algorithms will do so. Works quite well even though but we have no idea of how a human brain actually creates such sequences. I.e., we viewed the task of generating the sequence of actions as an information processing task optimizing a certain objective or “utility” function ...
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... self-driving cars) / physical robot or software robot (e.g. an electronic trading system)) This course is about designing rational agents •  For any given class of environments and tasks, we seek the agent (or class of agents) with the best performance •  Caveat: computational limitations may make p ...
Integrating the Mine and Mill - Lessons from
Integrating the Mine and Mill - Lessons from

... • we focus on applications but there is always room in the boat for new theories and ideas • we gather every two years to share in our new knowledge and experience ...
Module Materials Computer Architecture and Systems Level 5 C20012
Module Materials Computer Architecture and Systems Level 5 C20012

... Computers can be instructed to perform a variety of individual functions. A set of instructions that tells a computer what to do is called a program. Today, more than 10,000 application programs are available for use on personal computers. They include such popular programs as word processing progra ...
introduction to artificial intelligence - clic
introduction to artificial intelligence - clic

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ISM 622 – Midterm Exam Questions
ISM 622 – Midterm Exam Questions

... should pay special attention to. 22. Describe computerized knowledge acquisition (rule induction), and discuss its advantages and disadvantages. 23. What are the major knowledge representation methods? Describe any two of them in greater detail? 24. List some reasoning methods. What are approaches u ...
Choosing between different AI approaches
Choosing between different AI approaches

... and rationality (it depends on our definition of ‘rationality’), although this doesn’t seem too clear for all those researchers involved in the development of AI. We use different meanings for ‘intelligence’ or ‘rationality’1. Let’s see a good definition of AI. According to Simon (1995): 95, “AI dea ...
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Advanced English

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Artificial Intelligence - Tennessee Technological University
Artificial Intelligence - Tennessee Technological University

... students know and don’t know. This allows instruction to be directed at what still needs to be mastered and helps insure that students’ learning time is spent in a more efficient manner. Students work on a concept until it is fully understood. Students who are having conceptual problems will be dril ...
Computer Scientists - The Newton Academy
Computer Scientists - The Newton Academy

... programmer whose pioneering contributions to the theory and practice of optimizing compiler techniques laid the foundation for modern optimizing compilers and automatic parallel execution. She also had a role in intelligence work on programming languages and security codes for the National Security ...
Speculations on Human-Android Interaction in the Near
Speculations on Human-Android Interaction in the Near

... 1992?”). A Turing test built on angry attack would achieve vastly swifter results, as would nearly any highly arousing emotional content, the reason being that the AI needed to grasp the complexity of human emotion is perhaps the highest of all AI hurdles. If Turing-anger turns out to be an effectiv ...
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A DAI Perspective on Cooperating Knowledge
A DAI Perspective on Cooperating Knowledge

... Distributed artificial intelligence is a melding of artificial intelligence with distributed computing. From artificial intelligence comes the theory and technology for constructing or analyzing an intelligent system. But where artificial intelligence uses psychology as a source of ideas, inspirati ...
Chapter 1 THE INFORMATION AGE IN WHICH YOU LIVE Changing
Chapter 1 THE INFORMATION AGE IN WHICH YOU LIVE Changing

... o Biomimicry – learning from ecosystems and adapting their characteristics to human and organizational situations o Used to 1. Learn how people-based systems behave 2. Predict how they will behave under certain circumstances 3. Improve human systems to make them more efficient and effective ...
Decision Support Systems
Decision Support Systems

... user or a process that fulfills a stated need or activity • Uses built-in and learned knowledge base about a person or process to make decisions and accomplish tasks ...
DSS - IT Knowledge Base
DSS - IT Knowledge Base

... that helps gather, organize, and share business knowledge within an organization Hypermedia databases that store and disseminate business knowledge. May also be called knowledge bases Best practices, policies, business solutions Entered through the enterprise knowledge ...
Chapter 1
Chapter 1

... blend unobtrusively into our surroundings. Cybertechnology is also becoming less distinguishable from other technologies as boundaries that have previously separated them begin to blur because of convergence. ...
Artificial Intelligence
Artificial Intelligence

...  seems to abandon AI after all!  Searle: there is no link between mental states and their ability to affect states of the world  “As long as it simulates only the formal structure of a sequence of neuron firings … it won’t have simulated what matters about the brain, namely its causal properties, ...
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Human–computer interaction

Human-computer interaction (HCI) researches the design and use of computer technology, focusing particularly on the interfaces between people (users) and computers. Researchers in the field of HCI both observe the ways in which humans interact with computers and design technologies that let humans interact with computers in novel ways.As a field of research, Human-Computer Interaction is situated at the intersection of computer science, behavioral sciences, design, media studies, and several other fields of study. The term was popularized by Stuart K. Card and Allen Newell of Carnegie Mellon University and Thomas P. Moran of IBM Research in their seminal 1983 book, The Psychology of Human-Computer Interaction, although the authors first used the term in 1980 and the first known use was in 1975. The term connotes that, unlike other tools with only limited uses (such as a hammer, useful for driving nails, but not much else), a computer has many uses and this takes place as an open-ended dialog between the user and the computer. The notion of dialog likens human-computer interaction to human-to-human interaction, an analogy the discussion of which is crucial to theoretical considerations in the field.
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