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An Emotional Mimicking Humanoid Biped Robot and its Quantum
An Emotional Mimicking Humanoid Biped Robot and its Quantum

... and integrated them to our robot theatre system with its various capabilities such as: sensors, vision, speech recognition and synthesis and Common Robot Language [oo]. OpenCV software from Intel [17] is used for image acquisition and robot vision algorithms. In this paper we would like to share our ...
Chess, Games, and Flies
Chess, Games, and Flies

Artificial Intelligence
Artificial Intelligence

... The committee concludes that the development of academic and professional skills is very well addressed within the programme. The programme does not offer any philosophical reflection on conducting research in the field of artificial intelligence, however. It recommends paying more attention to this ...
The Behavior-Oriented Design of Modular Agent Intelligence
The Behavior-Oriented Design of Modular Agent Intelligence

... three-layer architectures [19, 22]. These hybrids combine the following: 1. behavior-based AI (BBAI), the decomposition of intelligence into simple, robust, reliable modules, 2. reactive planning, the ordering of expressed actions via carefully specified program structures, and 3. (optionally) delib ...
Artificial intelligence tools for software engineering
Artificial intelligence tools for software engineering

... invoking their specific knowledge of the domain. With the LESD project, we aim at providing the engineer with a semantic representation of each requirement. The informational content of requirements documents has to be extracted in order to build a formal representation of each requirement. This is ...
Probabilistic Inductive Logic Programming
Probabilistic Inductive Logic Programming

... settings have been considered in the literature, most notably learning from entailment [38] and learning from interpretations [8, 16], which we formalize below. We also introduce an intermediate setting inspired on the seminal work by Ehud Shapiro [42], which we call learning from proofs. Before for ...
Current and Future Trends in Feature Selection and Extraction for
Current and Future Trends in Feature Selection and Extraction for

... Newton-related methods. Yu et al’s article in this special issue discusses this with respect to non-singular pre-processing techniques (see Ref.15). Decision tree induction methods (see Ref. 11) are also among the most popular learning algorithms. While none of the articles in this issue specifical ...
Neural Networks and Its Application in Engineering
Neural Networks and Its Application in Engineering

... this work, we have examined the various architectures of NN and the learning process. The needs for neural networks, training of neural networks, and important algorithms used in realizing neural networks have also been briefly discussed. Neural network application in control engineering has been ex ...
Rule Based Computation of Updates to Terminologies
Rule Based Computation of Updates to Terminologies

... The body of (2) is then used to generate the text “execute an action that has an effect which prevents dehydration”, which is added to (updates) the textual protocol describing the plan. This text represents an incompletely specified new action described in terms of its intentions or goals. The abil ...
here. - Computer Science and Engineering
here. - Computer Science and Engineering

... Advancement of Artificial Intelligence, (AAAI Press), Menlo Park, California. Natalie Parde, Michalis Papakostas, Konstantinos Tsiakas, Maria Dagioglou, Vangelis Karkaletsis and Rodney D. Nielsen. (2015). I Spy: An interactive game-based approach to multimodal robot learning. In Proceedings of the A ...
Intelligent Systems 1 - IIIT
Intelligent Systems 1 - IIIT

... logic, methods of reasoning mind as physical system foundations of learning, language, rationality Mathematics formal representation and proof algorithms, computation, (un)decidability, (in)tractability probability Psychology adaptation phenomena of perception and motor control experimental techniqu ...
Planning for a Mobile Robot to Attend a Conference
Planning for a Mobile Robot to Attend a Conference

... Our planner (ConfPlan) is a HTN planner but includes a plan post-processing procedure and a built-in time variable in the state representation of which the planner can take advantage. Methods that decompose tasks into smaller tasks can add metric time constraints. With these new constraints, some pa ...
cpsc_20371_20biblio
cpsc_20371_20biblio

... Dorigo M. & L.M. Gambardella (1997). “Ant Colonies for the Traveling Salesman Problem.” BioSystems, 43:73-81. The paper “Ant Colonies for the Traveling Salesman”, describes an artificial ant colony capable of solving the traveling salesperson problem. Ants are the agents which move from city to city ...
www.cs.ubc.ca
www.cs.ubc.ca

... [Dean and Wellman, 1991] (the product of space and time, i.e., the predicates refer to times as part of the axiomatisation) in a similar manner to the event calculus [Kowalski and Sergot, 1986]. This allows us to axiomatise persistence as well as accumulation (integration) over time and differentiat ...
Search - Bilkent CS.
Search - Bilkent CS.

P - Computing Science - Thompson Rivers University
P - Computing Science - Thompson Rivers University

... Considering Weather, Toothache, Cavity, and Catch, Weather is independent of the other variables. [Q] What else does not get any influence from others? Cavity influences Toothache and Catch. Toothache and Catch are conditionally independent given Cavity. ...
Full Text PDF - Science and Education Publishing
Full Text PDF - Science and Education Publishing

... The psycho-experimental work of Pavlov is known for classical conditioning. It is characterized by following two aspects: A spontaneous reaction that occurs automatically to a particular stimulus, and to alter the “natural” relationship between a stimulus and a reaction response was viewed as a majo ...
Get PDF - IOS Press
Get PDF - IOS Press

... the nice property that bidding agents should simply bid their true private values (i.e., exactly what they think it is worth to them), removing any need for additional reasoning about its worth to others. Market simulations and economics can also be used to distribute large quantities of resources a ...
ppt
ppt

... the occupant of either room. A human being occupies one room, and the other contains a computer. The judge's goal is to decide, based on the questions asked and the answers received, which room contains the computer. If after a reasonable period of time the judge cannot decide for certain, the compu ...
ch09 - Dr Ebrahimi . com
ch09 - Dr Ebrahimi . com

... categories of the nature of decisions combined in a matrix.  Computer support for structured decisions is for each structured decision, prescribed solutions have been developed through the use of mathematical functions. This approach is called management science or operations research. Copyright 20 ...
(2009). Cognitive computational intelligence
(2009). Cognitive computational intelligence

ID2209 Distributed Artificial Intelligence and Intelligent Agents
ID2209 Distributed Artificial Intelligence and Intelligent Agents

... the wardrobe and you have to rent it. So your assistant contacts a renting company for a smoking (of course, it knows your size). When you come home at evening all necessary products are ordered from the Internet shop and delivered (as well as dinner jacket). We don't assume that intelligent stove m ...
What Is an Intelligent Agent?
What Is an Intelligent Agent?

... derives from the present participle of the Latin verb agere: to drive, lead, act, or do.” 1 “The concept of an agent can be traced back to the early days of research into Distributed Artificial Intelligence in the 1970s - indeed, to Carl Hewitt concurrent Actor model (Hewitt, 1977). In this model, H ...
Tim Menzies, Paul Compton Artificial Intelligence Laboratory, School
Tim Menzies, Paul Compton Artificial Intelligence Laboratory, School

Converging on the Divergent - Association for Computational
Converging on the Divergent - Association for Computational

... behaviors. The study of creativity in AI is not new, but it is unusual. When Margaret Boden included a chapter on creativity in her textbook Artificial Intelligence and Natural Man (Boden 1977), colleagues asked, “Why on earth are you doing that?” (Boden 1999). Sometimes, it seems that creativity is ...
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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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