A Discount Approach to the Semantic Web
... cognitive cost [11] and widespread appeal. Nonetheless, there is considerable discussion about the failings of the free–text tag. Each individual — either alone or within a community — tag in an individualised way (a clue as to the underlying mechanisms can be found in experiments such as the work r ...
... cognitive cost [11] and widespread appeal. Nonetheless, there is considerable discussion about the failings of the free–text tag. Each individual — either alone or within a community — tag in an individualised way (a clue as to the underlying mechanisms can be found in experiments such as the work r ...
Constraint-Based Knowledge Representation for Individualized
... appropriate in domains where there are no right or wrong answers; less so in, for example, physics and programming. Furthermore, open-ended instruction tends to be time consuming, sometimes requiring hours of instruction to teach a small fraction of a crowded instructional agenda. By asking each lea ...
... appropriate in domains where there are no right or wrong answers; less so in, for example, physics and programming. Furthermore, open-ended instruction tends to be time consuming, sometimes requiring hours of instruction to teach a small fraction of a crowded instructional agenda. By asking each lea ...
Management Information Systems
... Expert systems (ESs) are attempts to mimic human experts. It is decision-making software that can reach a level of performance comparable to a human expert in some specialized and usually narrow problem area. The idea is simple: expertise is transferred from an expert or other source of expertise to ...
... Expert systems (ESs) are attempts to mimic human experts. It is decision-making software that can reach a level of performance comparable to a human expert in some specialized and usually narrow problem area. The idea is simple: expertise is transferred from an expert or other source of expertise to ...
artigo - Sistema de Bibliotecas da Unicamp
... visions start with the user focus, then go into the logic operation of the software and, finally, reach the programming phase. The CommonKADS methodology incorporates the UML standards in several steps of its process, with the aim of decreasing the margin of interpretation errors, while also allows ...
... visions start with the user focus, then go into the logic operation of the software and, finally, reach the programming phase. The CommonKADS methodology incorporates the UML standards in several steps of its process, with the aim of decreasing the margin of interpretation errors, while also allows ...
document
... famous proposal for the Darmouth Summer Research Project on Artificial Intelligence by McCarthy -- dated the 31st of August 1955 - contains a research program for McCarthy which is devoted to this question: "During next year and during the Summer Research Project on Artificial Intelligence, I prop ...
... famous proposal for the Darmouth Summer Research Project on Artificial Intelligence by McCarthy -- dated the 31st of August 1955 - contains a research program for McCarthy which is devoted to this question: "During next year and during the Summer Research Project on Artificial Intelligence, I prop ...
WHERE S THE AI?
... known as an inference engine.1 Of course, much of the AI world understood that inference was an important part of understanding, so it made sense that an expert system would need to make inferences too, but to label the inference engine as the AI was both misleading and irrelevant. The business worl ...
... known as an inference engine.1 Of course, much of the AI world understood that inference was an important part of understanding, so it made sense that an expert system would need to make inferences too, but to label the inference engine as the AI was both misleading and irrelevant. The business worl ...
Neural-Symbolic Learning and Reasoning: Contributions and
... expressions from trained neural networks, and using this extracted knowledge to seed learning in further tasks (see d'Avila Garcez, Lamb, and Gabbay (2009) for an overview). Meanwhile, there has been some suggestive recent work showing that neural networks can learn entire sequences of actions, thus ...
... expressions from trained neural networks, and using this extracted knowledge to seed learning in further tasks (see d'Avila Garcez, Lamb, and Gabbay (2009) for an overview). Meanwhile, there has been some suggestive recent work showing that neural networks can learn entire sequences of actions, thus ...
Dept.of Computer Science, KU. MCA 2013-14
... Prabhakar,Raghavan, Cambridge University Press, 2008. ...
... Prabhakar,Raghavan, Cambridge University Press, 2008. ...
Intelligent Behavior in Humans and Machines
... and an explosion of work on “niche AI” rather than on complete intelligent systems. Component algorithms are also much easier to evaluate experimentally, a lesson that has been reinforced by the problem repositories and competitions that have become common in recent years. Taken together, these infl ...
... and an explosion of work on “niche AI” rather than on complete intelligent systems. Component algorithms are also much easier to evaluate experimentally, a lesson that has been reinforced by the problem repositories and competitions that have become common in recent years. Taken together, these infl ...
Gate Assignment Display System
... Enumerate / select best Satisficing, rather than optimizing Herbert Simon’s 1958 Chess prediction ...
... Enumerate / select best Satisficing, rather than optimizing Herbert Simon’s 1958 Chess prediction ...
Artificial Intelligence : A Perspective!
... Human experts specialize in relatively narrow problem -solving tasks . Typically , but not always , human experts have characteristics such as the following : Human experts solve simple problems easily . They explain what they do . They judge the reliability of their own conclusions . They know when ...
... Human experts specialize in relatively narrow problem -solving tasks . Typically , but not always , human experts have characteristics such as the following : Human experts solve simple problems easily . They explain what they do . They judge the reliability of their own conclusions . They know when ...
OBDD-Based Planning with Real-Valued Variables in Non-Deterministic Environments
... represent real variables as relative booleans (e.g. using ontable or on-block in the classical blocks world), or to explicitly enumerate each possible value for a real variable (e.g. using at11, at12, at21, at22 for block position in a 2x2 blocks world). The former approach is a lossy transformation ...
... represent real variables as relative booleans (e.g. using ontable or on-block in the classical blocks world), or to explicitly enumerate each possible value for a real variable (e.g. using at11, at12, at21, at22 for block position in a 2x2 blocks world). The former approach is a lossy transformation ...
Intro-1-fall08
... • software errors, e.g., coding bugs • “human-like” errors – Clearly, hardware and software errors are possible in practice – what about “human-like” errors? ...
... • software errors, e.g., coding bugs • “human-like” errors – Clearly, hardware and software errors are possible in practice – what about “human-like” errors? ...
session01
... optimize balance between user goals & environment constraints? use reasoning to decide on the best course of action? communicate back with the user? ...
... optimize balance between user goals & environment constraints? use reasoning to decide on the best course of action? communicate back with the user? ...
session01
... optimize balance between user goals & environment constraints? use reasoning to decide on the best course of action? communicate back with the user? ...
... optimize balance between user goals & environment constraints? use reasoning to decide on the best course of action? communicate back with the user? ...
Applications of Automated Reasoning Nr. 9/2007 Arbeitsberichte
... by the Automated Reasoner EQP for first order equational logic, developed at Argonne National Laboratory [McC97]. Propositional reasoning systems are very successful in soft- and hardware verification, where the length of formulae which can be processed has grown by orders of magnitude over the last ...
... by the Automated Reasoner EQP for first order equational logic, developed at Argonne National Laboratory [McC97]. Propositional reasoning systems are very successful in soft- and hardware verification, where the length of formulae which can be processed has grown by orders of magnitude over the last ...
Registration Brochure C1 August 19-25, 1995
... Conference on Artificial Intelligence in Montréal, Canada, August 20-25, 1995. The U.S. Scholarship Program provides partial travel support and a complimentary technical program registration for students who: (a) are full time undergraduate or graduate students at U.S. colleges and universities; (b) ...
... Conference on Artificial Intelligence in Montréal, Canada, August 20-25, 1995. The U.S. Scholarship Program provides partial travel support and a complimentary technical program registration for students who: (a) are full time undergraduate or graduate students at U.S. colleges and universities; (b) ...
The role of artificial intelligence, knowledge and wisdom in
... Intelligence: a specific set of mind capabilities which allow the individual to use the acquired knowledge efficiently and to behave appropriately in the presence of new tasks and living conditions [1]. The encyclopedia refers the reader to the term thinking, which is defined as any sequence of cons ...
... Intelligence: a specific set of mind capabilities which allow the individual to use the acquired knowledge efficiently and to behave appropriately in the presence of new tasks and living conditions [1]. The encyclopedia refers the reader to the term thinking, which is defined as any sequence of cons ...
Slide - Computer Science, Stony Brook University
... Ultimate Goal: Can eye gaze be used to transfer knowledge from experts to novices without them being co-present? First step: can knowledge be transferred via eye gaze at all? Can experts use eye gaze to gain knowledge from each other and solve problems more quickly? Next: can eye gaze be a useful to ...
... Ultimate Goal: Can eye gaze be used to transfer knowledge from experts to novices without them being co-present? First step: can knowledge be transferred via eye gaze at all? Can experts use eye gaze to gain knowledge from each other and solve problems more quickly? Next: can eye gaze be a useful to ...
I A Sensitivity Analysis of Pathfinder
... [2); in a 28,000 game tournament among expert designed, regression-learned, uniform, and ran domly generated weights, no single set was able to demonstrate superiority over the others. ...
... [2); in a 28,000 game tournament among expert designed, regression-learned, uniform, and ran domly generated weights, no single set was able to demonstrate superiority over the others. ...
ARTIFICIAL INTELLIGENCE IN HUNGARY – THE FIRST 20 YEARS
... especially current AI technics and applications. This weekly series of seminars was a type of workshop activity that proved to be useful for those interested in current IM techniques and applications. The most important results of Hungarian researchers were accounted for by the scientists themselve ...
... especially current AI technics and applications. This weekly series of seminars was a type of workshop activity that proved to be useful for those interested in current IM techniques and applications. The most important results of Hungarian researchers were accounted for by the scientists themselve ...
29 September, 2 October 2008
... is some fixed power of N, where N is the size of the problem. An NP hard problem is one for which no one knows an algorithm which does not take exponential time (2 or some other power of a number > 1). Methods taking exponential operations can work out whether or not such a route exists and report i ...
... is some fixed power of N, where N is the size of the problem. An NP hard problem is one for which no one knows an algorithm which does not take exponential time (2 or some other power of a number > 1). Methods taking exponential operations can work out whether or not such a route exists and report i ...
Artificial Intelligence Introduction
... – How brains and computers are (dis)similar. • Psychology – How do we think and act? – Cognitive psychology perceives the brain as an information processing machine. – Led to the development of the field cognitive science: how could computer models be used to study language, memory, and thinking fro ...
... – How brains and computers are (dis)similar. • Psychology – How do we think and act? – Cognitive psychology perceives the brain as an information processing machine. – Led to the development of the field cognitive science: how could computer models be used to study language, memory, and thinking fro ...
Knowledge-based expert systems : a brief bibliography
... Order No. 3597, monitored by the Air Force Avionics Laboratory Under Contract F33615-78-C-1551. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Defense Advanced Rese ...
... Order No. 3597, monitored by the Air Force Avionics Laboratory Under Contract F33615-78-C-1551. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Defense Advanced Rese ...