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Sets of Boolean Connectives that make Argumentation Easier
Sets of Boolean Connectives that make Argumentation Easier

... (Φ, α), where the support Φ is a consistent set (or a minimal consistent set) of formulae from a given knowledge base that entails the claim α which is a formula (see, for example, [BH01, AC02, GS04, DKT06]). Different logical formalisms provide different definitions for consistency and entailment a ...
PDF
PDF

... force may be sensed in the point where trajectories from different origins cross. Experimental results with our framework have demonstrated that the robot is able to learn and reproduce two tasks of this nature, namely dispensing pills and pouring drinks, with a performance comparable to the teacher ...
Sample chapter - Computer Science and Software Engineering
Sample chapter - Computer Science and Software Engineering

... Our definition of landmarks is purely functional: being a landmark is a role that objects from any category can play. It emphasizes that landmarks are mental constructs. In alignment with Meaning 1 and 2 from above it covers for objects that stand out in an environment such that they have made (or c ...
Extended-Essay-Abstr.. - Bellevue School District
Extended-Essay-Abstr.. - Bellevue School District

... This paper explores to what extent overchoice is prevalent in manufactured food items of grocery store settings, and in what situations. The scope covers surveys and experiments implemented to find data on the same research question or area. This idea contradicts the common beliefs that the more cho ...
Using Expert Systems and Artificial Intelligence For Real Estate
Using Expert Systems and Artificial Intelligence For Real Estate

... conventional program systems (CPS) and expert systems (ES). He maintains that CPS involves the researcher wanting to create a system that deals with interesting and difficult tasks without regard to whether these are similar to those used by humans i.e. it does not matter how the job gets done, as l ...
CS2351 ARTIFICIAL INTELLIGENCE Ms. K. S. GAYATHRI
CS2351 ARTIFICIAL INTELLIGENCE Ms. K. S. GAYATHRI

... UNIT I PROBLEM SOLVING ...
Artificial intelligence - University of London International Programmes
Artificial intelligence - University of London International Programmes

... Which of the above definitions most closely matches your intuitive idea of what AI is? Write a short paragraph explaining why, pointing out deficiencies in the definition, and briefly outlining one or two possible criticisms of it. ...
Automatic Extraction of Efficient Axiom Sets from Large Knowledge
Automatic Extraction of Efficient Axiom Sets from Large Knowledge

... ) indicates the kind of thing for which the question makes sense. For example, one of the queries for question 8 where was given as BillClinton, would be (acquaintedWith BillClinton ?x). Each template expands into a disjunction of formal queries. For many AI systems, reasoning direc ...
Leadership and Emotional Intelligence - WSU Tri
Leadership and Emotional Intelligence - WSU Tri

... and keeping emotional reactions in check has never been more publicized. When it comes to building strong leaders, organizations are now turning to the concept of Emotional Intelligence to help give leaders a new type of intelligence edge above and beyond technical aptitudes. We argue that Emotional ...
A Parameterized Comparison of Fuzzy Logic, Neural Network and
A Parameterized Comparison of Fuzzy Logic, Neural Network and

... Now a day‘s technology plays a strong role in day-to-day life of human being to ease their life due to artificial intelligence. An Artificial Intelligence has the many different approaches that imbibe the humane intelligence into machines. A lot of research work has been carried out from the past ye ...
Incorporating Computational Sustainability into AI Education through
Incorporating Computational Sustainability into AI Education through

... Overview of Lab Text Contents The lab text is organized as a collection of self-contained chapters, sections, and exercises, where each explores sustainability applications of an AI topic, including search, constraint-based reasoning, optimization, propositional and first-order inference, determinis ...
Rule-Based System Architecture
Rule-Based System Architecture

... An inference engine We might want to: See what new facts can be derived Ask whether a fact is implied by the knowledge base and already known facts ...
Alan Turing and the Matrix: Intelligent Systems for Law Enforcement
Alan Turing and the Matrix: Intelligent Systems for Law Enforcement

... question lies a deeper question: can computers think? When we look beyond this question, we see it in turn gives rise to fundamental questions such as: What is intelligence? What defines creatitivity? and What makes us human? To avoid these difficult, almost unanswerable questions, Alan Turing, the ...
Artificial Intelligence: A Natural Pursuit
Artificial Intelligence: A Natural Pursuit

... “M. Thomas, of Colmar, has lately made the finishing improvements in the calculating machine, called the arithmometer, at which he has been working for upwards of thirty years. Pascal and Leibnitz, in the seventeenth century, and Diderot at a later period, endeavoured to construct a machine which mi ...
full text pdf
full text pdf

... a combination of specialized AI techniques, they might use methods from the field of transfer learning (Taylor, Kuhlmann, and Stone, 2008) to help each component of the car’s control system (e.g. the object recognition system, the steering control system, etc.) better able to deal with various diver ...
5 Artificial Intelligence perspectives
5 Artificial Intelligence perspectives

... Maps would not have been conceived without powerful algorithms that combine different types of data, the autonomous car project would not be possible without AI. Google is also attracting many academic researchers in the field. Jeff Dean, the designer of neural networks, was one of Google’s earliest ...
Abstract - NYU Computer Science
Abstract - NYU Computer Science

... The importance of real-world knowledge for natural language processing, and in particular for disambiguation of all kinds, was discussed as early as 1960, by Bar-Hillel (1960), in the context of machine translation. Although some ambiguities can be resolved using simple rules that are comparatively ...
Controlling a mobile robot with Visual Prolog 7
Controlling a mobile robot with Visual Prolog 7

... This paper describes a practical realization of a simple declarative model for controlling a technical object – a mobile robot, which was built at the Robotics and Artificial Intelligence Laboratory of the State Polytechnic Museum under Technics PhD Valery Karpov and Technics PhD Dmitry Dobrynin. St ...
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1pp

... • However, real-world tasks are not well-defined. For example, the web ranking task is to output the 10 most pages relevant to a user’s query. What does ”relevant” mean? • Our strategy is not to develop algorithms for solving real-world tasks directly, but rather to convert them via a process calle ...
SPRING 2001 5 Insert Honeywell Ad
SPRING 2001 5 Insert Honeywell Ad

... tables of contents, view articles published in recent issues of AI Journal, and use the current features available through Elsevier’s electronic journal service. They can also view, print, and/or download excerpts of reasonable quantity, provided that the use of such excerpts is personal and does no ...
Presidential Address by Bruce Buchanan
Presidential Address by Bruce Buchanan

... Creative AI Programs In the literature in and about AI, several wellknown programs have been called creative (for example, Boden [1999]). In one of the papers on the logic theorist program (LT), Newell, Shaw and Simon (1958) wrote explicitly about creative behavior and the possibility that LT’s disc ...
Reframing Autonomous Weapons Systems
Reframing Autonomous Weapons Systems

... is whether clearance to fire at a target means a system is cleared to prosecute that target indefinitely, or has predetermined limits on the amount of time or ordinance each clearance provides. In analyzing these issues, one quickly realizes that the type of autonomy that is of concern is no more co ...
From: AAAI Technical Report S-0 -0 . Compilation copyright © 200
From: AAAI Technical Report S-0 -0 . Compilation copyright © 200

... Menlo Park, California 94025 ISBN 1-57735-180-0 SS-03-03 AAAI retains the right of first refusal to any publication arising from this AAAI event, and retains compilation copyright. Please do not make any inquiries or arrangements for hardcopy or electronic publication of all or part of the papers co ...
Hybrid Reasoning Model for Strengthening the problem solving
Hybrid Reasoning Model for Strengthening the problem solving

... combinations of case-based reasoning with rule based reasoning, and model based reasoning. Further we examined the strengths and weaknesses of various reasoning models, case-based reasoning, rule-based reasoning and model-based reasoning, and discuss how they can be combined to form a more robust an ...
Soarian™ User Interface
Soarian™ User Interface

... • Evaluating how the person is affected by the robot’s gaze and behavior is difficult. • Does the person get bored or frustrated? • Does the user consider the robot helpful and effective? • Is the robot trusted to perform its intended tasks? • Challenges • Unintended uses of the robot • Unintended s ...
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Philosophy of artificial intelligence



The philosophy of artificial intelligence attempts to answer such questions as: Can a machine act intelligently? Can it solve any problem that a person would solve by thinking? Are human intelligence and machine intelligence the same? Is the human brain essentially a computer? Can a machine have a mind, mental states and consciousness in the same sense humans do? Can it feel how things are?These three questions reflect the divergent interests of AI researchers, cognitive scientists and philosophers respectively. The scientific answers to these questions depend on the definition of ""intelligence"" and ""consciousness"" and exactly which ""machines"" are under discussion.Important propositions in the philosophy of AI include:Turing's ""polite convention"": If a machine behaves as intelligently as a human being, then it is as intelligent as a human being. The Dartmouth proposal: ""Every aspect of learning or any other feature of intelligence can be so precisely described that a machine can be made to simulate it."" Newell and Simon's physical symbol system hypothesis: ""A physical symbol system has the necessary and sufficient means of general intelligent action."" Searle's strong AI hypothesis: ""The appropriately programmed computer with the right inputs and outputs would thereby have a mind in exactly the same sense human beings have minds."" Hobbes' mechanism: ""Reason is nothing but reckoning.""↑ ↑ ↑ ↑ ↑ ↑
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