New Trends in Intelligent Systems
... The error signal is chosen to cause the event to move in the correct direction to produce a "satisfied" schedule. The errors on a given event induced by the constraints are summed together and then passed through a sigmoid function. The output of the sigmoid function f(x) is used to shift the begin ...
... The error signal is chosen to cause the event to move in the correct direction to produce a "satisfied" schedule. The errors on a given event induced by the constraints are summed together and then passed through a sigmoid function. The output of the sigmoid function f(x) is used to shift the begin ...
Anthropomorphism and The Social Robot
... of the system’s performance. Similarly in social robotics, the ideal paradigm should not necessarily be a synthetic human. Successful design in both software and robot in HCI needs to involve a balance of illusion that leads the user to believe in the sophistication of the system in areas where the ...
... of the system’s performance. Similarly in social robotics, the ideal paradigm should not necessarily be a synthetic human. Successful design in both software and robot in HCI needs to involve a balance of illusion that leads the user to believe in the sophistication of the system in areas where the ...
Theoretical Foundations for Intelligent Tutoring Systems
... aware of the inconsistency of his beliefs. This analysis is admittedly sketchy, but it may be a beginning. The main theoretical construct used is the distinction between implicit and explicit belief (Levesque, 1984; Fagin and Halpern, 1987), which is central to the active area of logics of belief in ...
... aware of the inconsistency of his beliefs. This analysis is admittedly sketchy, but it may be a beginning. The main theoretical construct used is the distinction between implicit and explicit belief (Levesque, 1984; Fagin and Halpern, 1987), which is central to the active area of logics of belief in ...
Mixed-Initiative Dialogue in Case
... continually evolving with the development of new and more demanding applications. For example, the emergence of product recommendation as a major application domain has highlighted the limitations of techniques that were successfully used in more traditional applications and changed the dynamics of ...
... continually evolving with the development of new and more demanding applications. For example, the emergence of product recommendation as a major application domain has highlighted the limitations of techniques that were successfully used in more traditional applications and changed the dynamics of ...
The Relevance of Intent to Human-Android Strategic Interaction and
... By artificially embodying intent that is connected to the anticipation of consequences, forward-looking research could design a thinking machine to emulate human thinking processes with similar physiological construction, albeit with different materials [11]. An agent, for example an android who is ...
... By artificially embodying intent that is connected to the anticipation of consequences, forward-looking research could design a thinking machine to emulate human thinking processes with similar physiological construction, albeit with different materials [11]. An agent, for example an android who is ...
Artificial Intelligence Application Robotics - Celia`s e
... further us in society a great deal and help our world situation, too. I believe that if everyone was able to work on these and more important problems, because we weren’t distracted by smaller, frivolous activities and jobs, we’d be able to further ourselves along a great deal more. My Belief about ...
... further us in society a great deal and help our world situation, too. I believe that if everyone was able to work on these and more important problems, because we weren’t distracted by smaller, frivolous activities and jobs, we’d be able to further ourselves along a great deal more. My Belief about ...
(G5AIAI) - 2001/02
... a) Describe The Turing Test In this part of the answer I am looking for the “classic” description of The Turing Test (i.e an interrogator asks a computer and a human questions without knowing which is which and than has to decide which is the human and which is the computer). If the computer can foo ...
... a) Describe The Turing Test In this part of the answer I am looking for the “classic” description of The Turing Test (i.e an interrogator asks a computer and a human questions without knowing which is which and than has to decide which is the human and which is the computer). If the computer can foo ...
Operating in the Robot Matrix
... When did you think man built the first robot? What materials do you think early inventors used to make their automatons or robots and what do you think their functions might have been? ...
... When did you think man built the first robot? What materials do you think early inventors used to make their automatons or robots and what do you think their functions might have been? ...
Week11 - Information Management and Systems
... Good at modelling poorly understood problems for which sufficient data can be collected ...
... Good at modelling poorly understood problems for which sufficient data can be collected ...
Knowledge-Driven Business Intelligence Systems: Part II
... Good at modelling poorly understood problems for which sufficient data can be collected ...
... Good at modelling poorly understood problems for which sufficient data can be collected ...
Artificial Intelligence And Expert Systems
... If we are going to say that a given program thinks like a human, we must have some way of determining how humans think. We need to get inside the actual workings of human minds. There are two ways to do this: through introspection--trying to catch our own thoughts as they go by--or through psycholog ...
... If we are going to say that a given program thinks like a human, we must have some way of determining how humans think. We need to get inside the actual workings of human minds. There are two ways to do this: through introspection--trying to catch our own thoughts as they go by--or through psycholog ...
Introduction to Machine Learning
... instance to the same class as the “nearest neighbor” more general methods try to find k nearest neighbors rather than just one but, how do we define “resembles?” ...
... instance to the same class as the “nearest neighbor” more general methods try to find k nearest neighbors rather than just one but, how do we define “resembles?” ...
Aaron Boo Boon Khoo - Computer Science Division
... “FlexBot, Groo, Patton and Hamlet: Research using Computer Games as a Platform”, Technical content paper for Intelligent Systems Demonstration, Proceedings of the Eighteenth National Conference on Artificial Intelligence. ...
... “FlexBot, Groo, Patton and Hamlet: Research using Computer Games as a Platform”, Technical content paper for Intelligent Systems Demonstration, Proceedings of the Eighteenth National Conference on Artificial Intelligence. ...
An Expert System for Automotive Diagnosis
... really know what gas is, or even what a car is. When confronted with situations outside its limited knowledge base, like a car with two gas tanks, it can't be of much help. The best it can do is to recognize the situation as being outside its domain and gracefully admit that it doesn't know what to ...
... really know what gas is, or even what a car is. When confronted with situations outside its limited knowledge base, like a car with two gas tanks, it can't be of much help. The best it can do is to recognize the situation as being outside its domain and gracefully admit that it doesn't know what to ...
How Bodies Matter to Minds - Action
... abstract qualities from the environment, which are recovered by internal representation. ...
... abstract qualities from the environment, which are recovered by internal representation. ...
PPT
... What is Artificial Intelligence? One of major divisions in AI (and you can see it in the definitions on the previous slide) is between Those who think AI is the only serious way of finding out how we work (since opening heads does not yet give much insight into this) and • Those who want computers ...
... What is Artificial Intelligence? One of major divisions in AI (and you can see it in the definitions on the previous slide) is between Those who think AI is the only serious way of finding out how we work (since opening heads does not yet give much insight into this) and • Those who want computers ...
CS 415 – A.I.
... All the same, but now only dealing with the shortest path from start to n and from n to goal f*(n) is often called an oracle ...
... All the same, but now only dealing with the shortest path from start to n and from n to goal f*(n) is often called an oracle ...
Course Introduction
... Aims of the Course • This is very much a practical course. Although we will touch upon the philosophical issues we will not dwell on this area of AI. • This course is more concerned with writing useful AI programs than discussing if a computer is intelligent or not. ...
... Aims of the Course • This is very much a practical course. Although we will touch upon the philosophical issues we will not dwell on this area of AI. • This course is more concerned with writing useful AI programs than discussing if a computer is intelligent or not. ...
Workshops Held at the First AAAI Conference on Human
... in a rapid and cost effective way. Since 2005 (when Amazon launched its microtask crowdsourcing platform, Mechanical Turk) the community of researchers in computer science, linguistics, speech technology, and so on have been changing their data collection, data labeling/annotation, data analysis, an ...
... in a rapid and cost effective way. Since 2005 (when Amazon launched its microtask crowdsourcing platform, Mechanical Turk) the community of researchers in computer science, linguistics, speech technology, and so on have been changing their data collection, data labeling/annotation, data analysis, an ...
Natural language processing Prof. Pushpak Bhattacharyya
... documents: estimable pages, p d f pages, word pages, power point presentations and so on and so forth. The internet is full of textual documents. So, these textual documents have to be made use of, a program has to make sense of this textual document, that requires natural language processing techni ...
... documents: estimable pages, p d f pages, word pages, power point presentations and so on and so forth. The internet is full of textual documents. So, these textual documents have to be made use of, a program has to make sense of this textual document, that requires natural language processing techni ...
An Advanced System for Knowledge Representation and Reasoning
... system has been recently engineered for industrial exploitation, and is already employed in many challenging real-world applications, for instance in the area of Knowledge Management, and advanced Information Integration. Among the many features of the system, it is worth remarking the following: A ...
... system has been recently engineered for industrial exploitation, and is already employed in many challenging real-world applications, for instance in the area of Knowledge Management, and advanced Information Integration. Among the many features of the system, it is worth remarking the following: A ...
An Advanced System for Knowledge Representation and Reasoning
... tem has been recently engineered for industrial exploitation, and is successfully employed in many challenging real-world applications, for instance in the area of Knowledge Management, and advanced Information Integration. Among the many features of the system, it is worth remarking the following: ...
... tem has been recently engineered for industrial exploitation, and is successfully employed in many challenging real-world applications, for instance in the area of Knowledge Management, and advanced Information Integration. Among the many features of the system, it is worth remarking the following: ...
Machine translation and artificial intelligence
... The standard reaction to such syntactic results was to argue that this only showed the need for linguistic semantics, so as to reduce the "readings" in such cases to the appropriate one. Bar-Hillel's response was to argue that it was not a matter of semantic additions at all, but of the, for him, un ...
... The standard reaction to such syntactic results was to argue that this only showed the need for linguistic semantics, so as to reduce the "readings" in such cases to the appropriate one. Bar-Hillel's response was to argue that it was not a matter of semantic additions at all, but of the, for him, un ...
india and the artificial intelligence revolution
... Baidu’s advancements in AI are the result Baidu’s advancements in AI are the result of ambitious of ambitious investments in homegrown investments in homegrown infrastructure, an institutioninfrastructure, an institutionalized approach alized approach to research, and an innovation ecosystem that ex ...
... Baidu’s advancements in AI are the result Baidu’s advancements in AI are the result of ambitious of ambitious investments in homegrown investments in homegrown infrastructure, an institutioninfrastructure, an institutionalized approach alized approach to research, and an innovation ecosystem that ex ...
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.""↑ ↑ ↑ ↑ ↑ ↑