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A Case Study in Developmental Robotics
A Case Study in Developmental Robotics

... a common one. For example, in an article (Barto et al., 1995) it was shown that majority of reinforcement learning (RL) algorithms are properly treated within the dynamic programming framework. RL methods which use dynamic programming as mathematical framework, require that environment be represente ...
Brief Introduction to Educational Implications of Artificial Intelligence
Brief Introduction to Educational Implications of Artificial Intelligence

... Artificial intelligence (AI) is a branch of the field of computer and information science. It focuses on developing hardware and software systems that solve problems and accomplish tasks that—if accomplished by humans—would be considered a display of intelligence. The field of AI includes studying a ...
Educators` Introduction to Machine Intelligence
Educators` Introduction to Machine Intelligence

... Artificial intelligence (AI) is a branch of the field of computer and information science. It focuses on developing hardware and software systems that solve problems and accomplish tasks that—if accomplished by humans—would be considered a display of intelligence. The field of AI includes studying a ...
AI Surveying: Artificial Intelligence In Business
AI Surveying: Artificial Intelligence In Business

... etc., as well as “field work” research, through which additional data was gleaned from other researchers. Specifically, participation in AI USENET newsgroups allowed for the exchange of opinions and e-mail correspondence with companies working with AI. Result: The thesis proves that software that co ...
Digital Steganalysis: Computational Intelligence Approach
Digital Steganalysis: Computational Intelligence Approach

... technique of hiding information inside a medium such as image [3-7], audio [8-14], and video [15-20]. Several efforts on stegosystem based on technical steganography for hidden and unhidden messages such as StegaMage [21], Steganoflage [22], StegCure [23], Outguess [24], F5 [25], and PQ [26] have al ...
Filename: sloman-clowestribute
Filename: sloman-clowestribute

... help students confront their emotions of anxiety, shame, feeling inadequate, etc., and devised ways of presenting material, and running seminars, which were intended to help the students build up confidence as well as understanding and skills. There is no doubt that for many students the result was ...
• What are intelligent agents? • What are the features of an intelligent
• What are intelligent agents? • What are the features of an intelligent

... – 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 decisions. – Goal-oriented: an agent has well-defined goals and gradually influence its environment and ...
KNOWLEDGE REPRESENTATION: SYLLABUS University of
KNOWLEDGE REPRESENTATION: SYLLABUS University of

... The purpose of this course is to discuss and evaluate some major difficulties and constraints for introducing a knowledge representation formalism for different applications. Classical examples of such frameworks are natural language, FOL, Prolog, semantic nets, frames, KL-ONE, formal concept analys ...
Selected methods of artificial intelligence for Internet of Things
Selected methods of artificial intelligence for Internet of Things

... anywhere, at home, at work, also on mobile devices (phones, watches). People start to think to connect the Internet to almost all devices of everyday use, so they can communicate with each other by taking simple decisions for people and helping them in their life. Such idea is called the Internet of ...
knowledge base
knowledge base

... as many rules and conditions as possible that are relevant to the hypotheses (problems) being examined. Ideally, the knowledge engineer has unique capabilities that allow him or her to help build the most appropriate rules. This is not easy. The knowledge engineering process can be costly and time-c ...
Applications of Artificial Bee Colony Algorithms
Applications of Artificial Bee Colony Algorithms

... The biomedical signals are low amplitude, and low frequency signals affected by different noises, reason is interferences from different sources such as power line interference, movements of recording electrodes. The signal to noise ratio can be improved by designing the proper digital filters, can ...
Artificial neural networks – how to open the black boxes?
Artificial neural networks – how to open the black boxes?

... must not think about the model set up – becomes the crucial disadvantage. Finally, there seems to be no possibility to improve the networks by using simple rules up to now. Accordingly it is necessary to understand how an ANN projects the behaviour of a system into its weight matrix: the original sy ...
Intelligent support systems
Intelligent support systems

... operation can be simulated in seconds of computer time Manipulating the model ( by changing variable ) is much easier than manipulating the real system. Modeling allows a manager to better deal with the uncertainly by introducing many “ what- ifs” and calculating the risks involved in specific actio ...
Anthropomorphism and the social robot
Anthropomorphism and the social robot

... the employment of a degree of anthropomorphic, or human-like, qualities whether in form or behaviour or both. But it is not a simple problem. As discussed by Foner [5], people’s expectations based on strong anthropomorphic paradigms in HCI overly increase a user’s expectations of the system’s perfor ...
fundis08chap07
fundis08chap07

... Principles and Learning Objectives • Artificial intelligence systems form a broad and diverse set of systems that can replicate human decision making for certain types of well-defined problems. – Define the term artificial intelligence and state the objective of developing artificial intelligence s ...
Review of The Cognitive Structure of Emotions
Review of The Cognitive Structure of Emotions

... This work is directly relevant to AI systems because it challenges the widely held belief that emotions resist computational modeling. This work suggests that although the experience (qualia) of emotion might be species (or entity) specific, the cognitions underlying these states can be broken into ...
Agents271-sq2010
Agents271-sq2010

... modeling how the world changes how it’s actions change the world ...
The Symbol Grounding Problem Remains Unsolved
The Symbol Grounding Problem Remains Unsolved

... . . . Each AA involved in the game has a role: one is the speaker, and names the object that it perceives; the other is the hearer and has to find out the objects named by the speaker by trial and error. The speaker communicates only to convey the name of a perceived referent, and the hearer communi ...
full text pdf
full text pdf

... One interesting feature of the AGI community, alluded to above, is that it does not currently agree on any single definition of the AGI concept – though there is broad agreement on the general intuitive nature of AGI, along the lines I’ve summarized above; and broad agreement that some form of the c ...
Machine Intelligence: The Death of Artificial Intelligence
Machine Intelligence: The Death of Artificial Intelligence

... we did with personal computers and then phone handsets. Now what about these murderous robots in our future? Firstly, why would an intelligent machine be able to create robots more effectively than humans today? If creativity comes from the application of problems to ...
Knowledge-Based Systems: Concepts, Techniques
Knowledge-Based Systems: Concepts, Techniques

... Systems that are the focus of such wide interest today. These systems are at the applied edge of research in Artificial Intelligence. To put them in perspective this course will take a short historical tour through the AI field and its related subtopics. This tour will focus on underlying themes, wi ...
word  file
word file

... However, that is not so impressive. There are only 19,683 possible configurations of O's, X's and blank spaces in a three by three grid. It is trivial to pre-explore all possible games and store the best move to make from any given configuration. Human players don't have to do that. But human player ...
Adapting to Human Game Play - Computer Science and Software
Adapting to Human Game Play - Computer Science and Software

... research conducted. Our goal requires that the human rules have to be obtained from game play with, and added to, the currently evolving system. Other relevant research by Ponsen et al [10], [11], [12] extends the dynamic scripting method developed by Pieter Spronck et al [13], [14], [15] for RTS ga ...
ppt
ppt

... Artificial intelligence  what an ‘electronic brain’ does…  methods for solving (partially) problems that are difficult because  known algorithms are O(en)  play chess ...
Turing Test Assignment
Turing Test Assignment

...  Alan,T. (2016). The Turing test, 1950. Available: http://www.turing.org.uk/scrapbook/test.html. Last accessed 03rd march 2016.  Could a computer think ? The before –math  This paper was written by Alan Turing while he worked at the computing laboratory in Manchester University. Were the possibil ...
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Existential risk from artificial general intelligence

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