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Representation = Grounded Information - Our research
Representation = Grounded Information - Our research

... need not build and maintain models of the world because the world is its own best model and an intelligent system can simply sense the world directly, instead of investing in building and maintaining a so called world model [2, 3]. Despite giving the status quo a shakeup and putting robot behavior a ...
Jumping NLP Curves: A Review of Natural Language Processing
Jumping NLP Curves: A Review of Natural Language Processing

... effective human-machine communication). Traditional research disciplines do not have the tools to completely address the problem of how language comprehension and production work. Even if you combine all the approaches, a comprehensive theory would be too complex to be studied using traditional meth ...
Emotion and Robotics
Emotion and Robotics

... •  Affective computing is about computing with emotions –  “a system of computational processes that perceives, expresses, interprets, or uses emotions” •  Why? –  advance emotion theory, –  understand intelligence, –  facilitate Human-Computer (Robot) interaction, –  entertainment. ...
A case-based expert system for scheduling problems
A case-based expert system for scheduling problems

... system approach cannot be applied. In scheduling problems, theoretical knowledge and some heuristics exists. Unfortunately, practical knowledge and experience may be of limited value. A number of review papers have been published in this area (Steffen [13], Kusiak and Chen [14], Charalambous and Hin ...
Soft Computing: Constituent and Applications of Soft
Soft Computing: Constituent and Applications of Soft

... computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems. Soft Co ...
PDF file
PDF file

... interacting with the external environment, it senses some of its internal representation as a part of its perceptual process and it generates actions for its internal effectors as a part of its action process. Using this new agent model, the sensory context  of a SASE agent must contain infor ...
Framed - Alison Goodman
Framed - Alison Goodman

... Dennett lists a few things that we know. We know that mayonnaise doesn't dissolve knives on contact, that a slice of bread is smaller than Mount Everest, that opening a refrigerator doesn't cause a nuclear holocaust in the kitchen. 14 These facts may seem obvious - common sense - to human beings, b ...
ppt
ppt

... But there is a 2nd aspect to n-sAI (maybe the Engineering part). This comes from recognising that symbolic AI approaches to eg pattern recognition are useless in comparison to the ability of a migrating bird (that does not use symbols or logic) … that the most complex bit of machinery humans have de ...
ni.uni-osnabrueck.de - Cognitive Science
ni.uni-osnabrueck.de - Cognitive Science

... share significant overlap in underlying ideas, the cooperation between the respective communities is still in an early stage, and can greatly profit from interaction and discussion between people from the respective fields, forming trans- and interdisciplinary alliances in research and application. ...
Robotics - Krupa Vara Prasad Adimulapu
Robotics - Krupa Vara Prasad Adimulapu

... The word robotics was derived from the word robot, which was introduced to the public by Czech writer Karel Čapek in his play R.U.R. (Rossum's Universal Robots), which was published in 1920. The word robot comes from the Slavic word robota, which means labour. The play begins in a factory that makes ...
Cyber, Intelligence, and Security - Institute for National Security
Cyber, Intelligence, and Security - Institute for National Security

... stressing its many intersecting relations.9 The most successful companies were the most cooperative ones; a growing segment of business activity around the world is now carried out cooperatively within an organization, as well as between organizations. Processes of manufacturing and development in m ...
Artificial Cognitive Systems
Artificial Cognitive Systems

... –  A dynamical system is an open dissipative non-linear non-equilibrium system –  System: large number of interacting components & large number of degrees of freedom –  Dissipative: diffuse energy – phase space decreased in volume with time (⇨ preferential sub-spaces) –  Non-equilibrium: unable to m ...
here. - Computer Science and Engineering
here. - Computer Science and Engineering

... Amir H. Kargar B., Mohammad Mahoor, Benjamin Miller, and Rodney D. Nielsen. (Submitted). A social robot exercise motivator: Implication for intervention with elderly with depression. Submitted to 2015 IEEE International Conference on Robotics and Automation (ICRA 2015). Seattle, Washington, USA, May ...
Goal-Based Action Priors - Humans to Robots Laboratory
Goal-Based Action Priors - Humans to Robots Laboratory

... Robotic planning tasks are often formalized as a stochastic sequential decision making problem, modeled as a Markov Decision Process (MDP) (Thrun, Burgard, and Fox ...
Reports on the Twenty-First National Conference on Artificial
Reports on the Twenty-First National Conference on Artificial

... agents with higher-level cognitive functions that enable them to reason, act, and perceive in changing, incompletely known, and unpredictable environments. Such robots must, for example, be able to reason about goals, actions, when to perceive and what to look for, the cognitive states of other agen ...
DCP 1172: Introduction to Artificial Intelligence
DCP 1172: Introduction to Artificial Intelligence

... Getting computers to do the right thing based on their circumstances and what they know. • No presuppositions about how they should be designed to do the right thing • I.e. not limited to how people do it • Evaluation is based on performance, not on how the task is performed ...
Reports on the Twenty-First National Conference on Artificial
Reports on the Twenty-First National Conference on Artificial

... agents with higher-level cognitive functions that enable them to reason, act, and perceive in changing, incompletely known, and unpredictable environments. Such robots must, for example, be able to reason about goals, actions, when to perceive and what to look for, the cognitive states of other agen ...
Anthony Chang - Artificial Nerual Networks in Protein Secondary Structure Predictions
Anthony Chang - Artificial Nerual Networks in Protein Secondary Structure Predictions

... Machine Learning A myriad of artificial intelligence methodologies along with massive parallel computing are being applied to meet this daunting challenge of protein secondary structure prediction. Standard statistical techniques such as generalized linear models and discriminant analysis have limit ...
The Chinese Room Argument
The Chinese Room Argument

... of the fact his brain is an instantiation of a program, but dependent on his biological make-up. This biological make-up, combined with adequate conditions and opportunity, grants the ability to produce actions, understanding, learning, etc. This is what is referred to as “causal power.”7 With this ...
Farkas Attila Ferenc tézis angol - UNI-NKE
Farkas Attila Ferenc tézis angol - UNI-NKE

... 4.1 In the first chapter I made an overview of fields of application of artificial intelligence in arc welding. Bearing in mind the main objectives of the thesis I studied particularly detailed different expert systems and robotics and within robotics the sensors that make possible intelligent worki ...
Turing Centenary
Turing Centenary

... pretensions to originate anything. It can do whatever we know how to order it to perform.” Likely translation: it can do all and only what we tell it to do. I.e., it’s stupid. ⇒ Turing: The Analytical Engine was the first universal machine, fully capable of being programmed to learn [Machine Learnin ...
lesswrong.com
lesswrong.com

... • Today's difficulties in constructing AI are due to ignorance of key insights, not inherent mysteriousness. • It is possible for minds to exist that are far more powerful than human. • An AI over some threshold level of intelligence will recursively self-improve and explode into superintelligence. ...
PDF file
PDF file

... factors is shown in Fig. 2. Some typical tasks are positioned in this frame. The direction of each axis denotes the direction of increase in the corresponding muddiness factor. Since the meaning of each muddiness factor is not simple, it is not useful to assign a concrete number to each class of tas ...
Genetic Algorithm Optimization of Membership Functions for
Genetic Algorithm Optimization of Membership Functions for

... “Artificial Intelligence is the study of ideas that enable computers to be intelligent. Intelligence includes: ability to reason, ability to acquire and apply knowledge, ability to perceive and manipulate things in the physical world, and others.” ...
Robot Learning, Future of Robotics
Robot Learning, Future of Robotics

... • What does it mean for a machine to think? • Bellman – Thought is not well defined, so we cannot ascribe/judge it – Computers can perform processes representative of human thought: decision making/learning ...
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Existential risk from artificial general intelligence

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