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Introduction to Multi-Agent Systems
Introduction to Multi-Agent Systems

... agents, therefore the multi-agent system (MAS) paradigm. Even if we stick to the single agent type of definition it is rather difficult to expect that an agent will exist only as a stand alone entity and will not encounter other agents (be they artificial or human) in its environment. Personal agent ...
Tuesday - UT School of Information - The University of Texas at Austin
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... developed by the group at UT Austin (www.cs.utexas.edu/users/mfkb/RKF/). Please draft brief written evaluations (1-2 pages each) of the suitability of three developed systems for purchase, adoption, implementation, and use in decision-making or information services functions. Such KBS systems should ...
Artificial Intelligence
Artificial Intelligence

... The committee is of the opinion that the services provided to students (both guidance and facilities) are sufficient. It also appreciates the opportunities for students to study abroad. The programme is feasible and attracts quite a lot of international students, from a wide range of countries. The ...
Could Consciousness Emerge from a Machine Language?
Could Consciousness Emerge from a Machine Language?

... understood (in this paper) as thoughts and emotions such as humans experience them. I exclude non-human animal consciousness from my definition because the goal of AI scientists is to produce human-like intelligence (which, by my definition, entails human-like consciousness). By limiting the scope o ...
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... Neural Networks Help Reduce Telecommunications Fraud ...
Chapter 7: Specialized Business Information Systems
Chapter 7: Specialized Business Information Systems

... • Specialized user interface software is employed for designing, creating, updating, and using expert systems • The main purpose of the user interface is to make the development and use of an expert system easier for users and decision makers ...
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Slide 1

... • Specialized user interface software is employed for designing, creating, updating, and using expert systems • The main purpose of the user interface is to make the development and use of an expert system easier for users and decision makers ...
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... 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 deci ...
Modularity and Design in Reactive Intelligence
Modularity and Design in Reactive Intelligence

... 1999; Bryson, 2000a]. The field is now dominated by ‘hybrid’, three-layer architectures [Gat, 1998]. The hybrids combine: (1) behavior-based AI, the decomposition of intelligence into simple, robust, reliable modules, (2) reactive planning, the ordering of expressed actions via carefully specified p ...
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... and machine and it brought together many parallels between human and machine Although the computer provided the technology necessary for AI, it was not until the early 1950’s that the link between human intelligence and machines was really observed. Norbert Wiener was one of the first American to ma ...
Massively Parallel Artificial Intelligence
Massively Parallel Artificial Intelligence

... and ATR's dialogue database tEhara et. al., 1990]. It is clear that as KBs grow substantially large (over a million concepts) the complex (and often complete) searches used in many tra­ ditional inferencing systems will have to give way to heuristic solutions unless a high degree of parallelism can ...
Turing*s Legacy - Cognitive Science Department
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... merely a practical consideration to eliminate bias in some strange game, but rather the point of his article, which is that if we put a label ‘intelligent being’ on other human beings based on their behavior then, just to be fair, we should do the same for machines, whether we are correct or precise ...
Feature Markov Decision Processes
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... • Learning: So far mainly reinforcement learning, but others relevant. • Logic/Reasoning: For agents that reason, rule-based logical recursive partitions of domain (O×A×R)∗ are predestined. • Knowledge Representation (KR): Searching for Φbest is actually a search for the best KR. Restrict search spa ...
the first of a series of anthropomimetic musculoskeletal upper torsos
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... the ECCEROBOT project. However, the aim of the Kojiro project is quite different, as it is directed towards identifying and investigating the benefits of this technology for practical robotic applications rather than serving as a tool to investigate humanoid motor and cognitive development [8]. Koji ...
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... the standard intelligent machine M during input of external knowledge, wherein QI ⊆ Q. The acquisition of QI can achieve the tests respectively conducted on elements of Q via function I. All the elements with the return mark of 1 form QI. 7. QO is a finite set, standing for the categories of knowled ...
Model Checking of Hybrid Systems via Satisfiability Modulo Theories
Model Checking of Hybrid Systems via Satisfiability Modulo Theories

... Complex embedded systems are increasingly present in our daily lives, whenever a computer-based system interacts with some physical plant or environment. Some application domains of interest are industrial production, automotive, railways, and aerospace. The key feature of such complex system, often ...
AAAI-2000 Workshop
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... he AAAI-2000 Program Committee invites proposals for the Workshop Program of the American Association for Artificial Intelligence’s Seventeenth National Conference on Artificial Intelligence (AAAI-2000). Workshops will be held at the beginning of the conference, July 30-31, 2000. Workshop participan ...
Proceedings of the Workshop “Formalizing Mechanisms for Artificial
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... disparities between the speed with which the sensor generates data and the time it takes to process and perceive that data. By adjusting a buffer’s size or expiration interval, and by specifying how full buffers are handled, an agent designer may achieve a range of possible effects suitable for differen ...
Computational Intelligence
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... of being applied in many instances by “domain experts” rather than solely by “computer gurus.” This means that biomedical engineers, for example, can solve problems in biomedical engineering without relying on outside computer science expertise such as that required to build knowledge bases for clas ...
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... Debates about AI really started in the 20th century – for example, think of Isaac Asimov’s Laws of Robotics – but increased to a much higher level because of the recent progresses achieved by AI systems as shown above. The Technological Singularity Theory claims that a new era of machines dominating ...
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... has been proposed so far. One of the difficult problems on wearable computing systems is input and output devices in particular input device. There are some proposed input devices for wearable computing systems such as “Project Glass”1 and “Contact Lens” 2 . These require relatively expensive device ...
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KOWALSKI, Robert, Anthony Computational logic, including
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... in clausal form. The hypothesis that the mind is organized as a collection of modules is explained by the possibility that such a graph may contain implicit or explicit sub-graphs, with a high degree of connectivity within sub-graphs and a low degree between subgraphs. ...
Understanding Computers, Chapter 1
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... – Memory that retains data when power to the computer is cut off » RAM is normally associated with volatile types of memory where its stored information is lost if the power is removed. » Used for storing critical data to guard against data loss, and saving the data to help robotic systems, for exam ...
CS 561a: Introduction to Artificial Intelligence
CS 561a: Introduction to Artificial Intelligence

... should eventually succeed. It is a race, but both racers seem to be walking. [John McCarthy] CS 561, Lecture 1 ...
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Existential risk from artificial general intelligence

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