Learning to trust artificial intelligence systems
... Brynjolfsson and Andrew McAfee write that they believe the Industrial Revolution was the first machine age, and that artificial intelligence is the foundation of a second machine age, in which “computers and other digital advances are doing for mental power – the ability to use our brains to underst ...
... Brynjolfsson and Andrew McAfee write that they believe the Industrial Revolution was the first machine age, and that artificial intelligence is the foundation of a second machine age, in which “computers and other digital advances are doing for mental power – the ability to use our brains to underst ...
Knowledge Building in User-Generated Online Virtual Realities
... • Access is possible using a desktop computer, which is connected to the Internet, without technical barriers, not requiring any specific equipment. • The appearance and behavior of avatars may be determined and influenced by users. • Avatars may interact and communicate with each other using spoken ...
... • Access is possible using a desktop computer, which is connected to the Internet, without technical barriers, not requiring any specific equipment. • The appearance and behavior of avatars may be determined and influenced by users. • Avatars may interact and communicate with each other using spoken ...
Two Paradigms Are Better Than One, And Multiple
... are based on some form of deduction. Partisans of different paradigms have debated their virtues as if they were mutually exclusive, yet most of them have complementary strengths and weaknesses. There should be some way to take advantage of the best features of any or all of them when appropriate. O ...
... are based on some form of deduction. Partisans of different paradigms have debated their virtues as if they were mutually exclusive, yet most of them have complementary strengths and weaknesses. There should be some way to take advantage of the best features of any or all of them when appropriate. O ...
Jurek Gryz The frame problem in artificial intelligence and
... such axioms would dramatically degrade performance of any system. It is also counterintuitive. If the goal of AI is to build a system that resembles human mode of reasoning, than this is certainly not correct. When we pick up B from A we do not remind ourselves that the distance of A from the Sun ha ...
... such axioms would dramatically degrade performance of any system. It is also counterintuitive. If the goal of AI is to build a system that resembles human mode of reasoning, than this is certainly not correct. When we pick up B from A we do not remind ourselves that the distance of A from the Sun ha ...
Intelligent Environmental Decision Support Systems - Model
... to be evaluated for what it knows, for how it uses what it knows, for how fast it can learn sonlething new and, last but not least, for its overall perfofIllallce. Figure 8.2 shows this methodology schematically. There are inherent, opell problClns arising when running such systems and we discuss fo ...
... to be evaluated for what it knows, for how it uses what it knows, for how fast it can learn sonlething new and, last but not least, for its overall perfofIllallce. Figure 8.2 shows this methodology schematically. There are inherent, opell problClns arising when running such systems and we discuss fo ...
View PDF - CiteSeerX
... lated massive parallelism to be made at numerous places. Thus, computational constraints should no longer im pose restrictions on how thought is modeled. Special purpose devices provide dramatic speed up for certain types of processing. For example, associa tive memory is a powerful device for man ...
... lated massive parallelism to be made at numerous places. Thus, computational constraints should no longer im pose restrictions on how thought is modeled. Special purpose devices provide dramatic speed up for certain types of processing. For example, associa tive memory is a powerful device for man ...
Pattern Recognition and Artificial Intelligence for Human Behaviour
... Pattern Recognition (PR) and Artificial Intelligence (AI) scientific communities have tried to join their efforts and share knowledge in order to obtain more effective solutions for many different research areas. However, although the techniques and approaches are somewhat similar, the two communiti ...
... Pattern Recognition (PR) and Artificial Intelligence (AI) scientific communities have tried to join their efforts and share knowledge in order to obtain more effective solutions for many different research areas. However, although the techniques and approaches are somewhat similar, the two communiti ...
A Connectionist Expert Approach
... An expert system consists of programs that contain knowledge bases and a set of rules that infer new facts from knowledge and from incoming data. The rules are used in the inference process to derive new facts from given ones. The strength of expert systems is the high abstraction level. Knowledge c ...
... An expert system consists of programs that contain knowledge bases and a set of rules that infer new facts from knowledge and from incoming data. The rules are used in the inference process to derive new facts from given ones. The strength of expert systems is the high abstraction level. Knowledge c ...
A New Uncertainty Calculus For Rule
... The ratio p(E | H) / p(E) is called the likelihood ratio. Bayesian theory prescribes that a person when presented with new evidence should update his prior belief such that his posterior belief equals his prior belief times the likelihood ratio. Let’s take a minute to see why it seems reasonable for ...
... The ratio p(E | H) / p(E) is called the likelihood ratio. Bayesian theory prescribes that a person when presented with new evidence should update his prior belief such that his posterior belief equals his prior belief times the likelihood ratio. Let’s take a minute to see why it seems reasonable for ...
AAAI 2001 Spring Symposium Series Reports
... decision theory could play in this context. Other theoretical issues discussed were related to usefulness and applicability of Nash equilibrium as a solution concept for problems of designing intelligent distributed systems. Frequently, the assumption usually invoked to justify the use of Nash equil ...
... decision theory could play in this context. Other theoretical issues discussed were related to usefulness and applicability of Nash equilibrium as a solution concept for problems of designing intelligent distributed systems. Frequently, the assumption usually invoked to justify the use of Nash equil ...
History of LISP - Computer and Information Science | Brooklyn College
... A programming system called LISP (for LISt Processor) has been developed for the IBM 704 computer by the Artificial Intelligence group at M.I.T. The system was designed to facilitate experiments with a proposed system called the Advice Taker, whereby a machine could be instructed to handle declarati ...
... A programming system called LISP (for LISt Processor) has been developed for the IBM 704 computer by the Artificial Intelligence group at M.I.T. The system was designed to facilitate experiments with a proposed system called the Advice Taker, whereby a machine could be instructed to handle declarati ...
Frame Activated Inferences in a Story Understanding Program
... An obvious solution is to introduce a new story point, the ironicgoal-failure frame. This frame would be a kind of goal-failure, with the provision that the outcome of the plan must be the opposite (in some way) of the desired goal state. While this approach would work, it would miss an important pr ...
... An obvious solution is to introduce a new story point, the ironicgoal-failure frame. This frame would be a kind of goal-failure, with the provision that the outcome of the plan must be the opposite (in some way) of the desired goal state. While this approach would work, it would miss an important pr ...
IOSR Journal of Computer Engineering (IOSRJCE)
... knowledge and interfaces. Expert systems also use human knowledge to solve problems that normally would require human intelligence. These expert systems represent the expertise knowledge as data or rules within the computer. These rules and data can be called upon when needed to solve problems. Book ...
... knowledge and interfaces. Expert systems also use human knowledge to solve problems that normally would require human intelligence. These expert systems represent the expertise knowledge as data or rules within the computer. These rules and data can be called upon when needed to solve problems. Book ...
CHAPTER 11 INTELLIGENT SYSTEMS IN BUSINESS Oleh
... Case (continued…) What have we learned from this case?? how an intelligent system solved a difficult business problem by improving the communication and collaboration between the company and its customers the intelligent system solution was integrated with other information technologies (CD-ROM ...
... Case (continued…) What have we learned from this case?? how an intelligent system solved a difficult business problem by improving the communication and collaboration between the company and its customers the intelligent system solution was integrated with other information technologies (CD-ROM ...
Case-based Reasoning and Multiple-agent Systems for Accounting
... University of Southern California, Los Angeles, CA, USA ...
... University of Southern California, Los Angeles, CA, USA ...
physical symbol system - School of Computer Science
... later ported to PDP-11 at Sussex (1976) (Pop-11) • Pop-11 is incrementally compiled, and was one of the first languages to be implemented using a virtual machine (PVM) • similar expressive power to Lisp, but with an Algol-like syntax • Pop-11 forms the basis of the Poplog programming environment ...
... later ported to PDP-11 at Sussex (1976) (Pop-11) • Pop-11 is incrementally compiled, and was one of the first languages to be implemented using a virtual machine (PVM) • similar expressive power to Lisp, but with an Algol-like syntax • Pop-11 forms the basis of the Poplog programming environment ...
- Notesvillage
... Rational Agents An agent is an entity that perceives and acts This course on AI is about designing rational agents Abstractly, an agent is a function from percept histories to actions: ...
... Rational Agents An agent is an entity that perceives and acts This course on AI is about designing rational agents Abstractly, an agent is a function from percept histories to actions: ...
How Artificial Intelligence Helps in Development of Accounting
... lived up to their potential because they have a problem with a lack of user neutrality (O’Leary, 2003). Therefore, other, more complex AI approaches need to be investigated for audit tasks. Genetic algorithms are proposed by Welch et al. (1998) as a potentially useful application for modeling audito ...
... lived up to their potential because they have a problem with a lack of user neutrality (O’Leary, 2003). Therefore, other, more complex AI approaches need to be investigated for audit tasks. Genetic algorithms are proposed by Welch et al. (1998) as a potentially useful application for modeling audito ...
View PDF - Advances in Cognitive Systems
... Polyscheme (Cassimatis, 2006), and our own Companion architecture (Forbus et al., 2009). As Newell (1994) noted, for a long time there will need to be many attempts at building unified theories of cognition. The best way to achieve our goals is to establish a community making different bets, so that ...
... Polyscheme (Cassimatis, 2006), and our own Companion architecture (Forbus et al., 2009). As Newell (1994) noted, for a long time there will need to be many attempts at building unified theories of cognition. The best way to achieve our goals is to establish a community making different bets, so that ...
Probabilistic Reasoning and the Design of Expert Systems
... 2. System designers can focus on capturing problem-solving knowledge without worrying about implementation details. 3. Changes can be made in one part of the knowledge-base without affecting others. 4. The same inference engine can be plugged into different expert systems and work on different knowl ...
... 2. System designers can focus on capturing problem-solving knowledge without worrying about implementation details. 3. Changes can be made in one part of the knowledge-base without affecting others. 4. The same inference engine can be plugged into different expert systems and work on different knowl ...
Chapter 7: Specialized Business Information Systems
... • Robotics: mechanical or computer devices that perform tasks that either require a high degree of precision or are tedious or hazardous for humans • Vision system: computer system that permits computers to capture, store, and manipulate visual images and pictures • Natural language processing: allo ...
... • Robotics: mechanical or computer devices that perform tasks that either require a high degree of precision or are tedious or hazardous for humans • Vision system: computer system that permits computers to capture, store, and manipulate visual images and pictures • Natural language processing: allo ...
Slide 1
... • Robotics: mechanical or computer devices that perform tasks that either require a high degree of precision or are tedious or hazardous for humans • Vision system: computer system that permits computers to capture, store, and manipulate visual images and pictures • Natural language processing: allo ...
... • Robotics: mechanical or computer devices that perform tasks that either require a high degree of precision or are tedious or hazardous for humans • Vision system: computer system that permits computers to capture, store, and manipulate visual images and pictures • Natural language processing: allo ...
Measuring an Artificial Intelligence System`s Performance on a
... make more precise the tasks where AI systems are currently struggling to meet the performance of 4- to 8-year-old children. We believe a full-blown verbal IQ test is such a metric. In (at least) US schools today, the Wechsler series of IQ tests are the most commonly used IQ tests when a full-blown I ...
... make more precise the tasks where AI systems are currently struggling to meet the performance of 4- to 8-year-old children. We believe a full-blown verbal IQ test is such a metric. In (at least) US schools today, the Wechsler series of IQ tests are the most commonly used IQ tests when a full-blown I ...
III. Symbolic AI as a Degenerating Research Program
... program to check those and only those facts that were normally relevant to birthday parties— the number of presents for example, but not the weather —to see if it had changed. But a system of frames isn’t in a situation, so in order to select the possibly relevant facts in the current situation one ...
... program to check those and only those facts that were normally relevant to birthday parties— the number of presents for example, but not the weather —to see if it had changed. But a system of frames isn’t in a situation, so in order to select the possibly relevant facts in the current situation one ...