
Details - John Franco
... Abstract— For solving problems of robot navigation over unknown and changing terrain, many algorithms have been invented. For example, D* Lite, which is a dynamic, incremental search algorithm, is the most successful one. The improved performance of the D* Lite algorithm over other replanning algori ...
... Abstract— For solving problems of robot navigation over unknown and changing terrain, many algorithms have been invented. For example, D* Lite, which is a dynamic, incremental search algorithm, is the most successful one. The improved performance of the D* Lite algorithm over other replanning algori ...
Experiment
... Where pi(e|f) is the phrase translation model corresponding to the i-th CWSs. αi is the weight and S is the total number of models. ...
... Where pi(e|f) is the phrase translation model corresponding to the i-th CWSs. αi is the weight and S is the total number of models. ...
Slide 1
... – Consists of related technologies that try to simulate and reproduce human thought and behavior – Includes thinking, speaking, feeling, and reasoning ...
... – Consists of related technologies that try to simulate and reproduce human thought and behavior – Includes thinking, speaking, feeling, and reasoning ...
this PDF file - BRAIN. Broad Research in Artificial
... density of clusters, occurrence of local minima of the log likelihood, and their sensitiveness to initialization of model parameters, for example the mean and the std. deviation in case of the Gaussian mixtures [4]. Several stochastic models have been reported to deal with the limitations of the gen ...
... density of clusters, occurrence of local minima of the log likelihood, and their sensitiveness to initialization of model parameters, for example the mean and the std. deviation in case of the Gaussian mixtures [4]. Several stochastic models have been reported to deal with the limitations of the gen ...
artificial intelligence research in particle accelerator control
... simulator, to generate large amounts of data. They eventually compared the results among several fundamentally different types of algorithms, including least squares and hybrid neural networks with real data that were obtained from Brookhaven National Laboratory. ...
... simulator, to generate large amounts of data. They eventually compared the results among several fundamentally different types of algorithms, including least squares and hybrid neural networks with real data that were obtained from Brookhaven National Laboratory. ...
Yale University “Imagine that you work for a computer company. You
... systems could be full artificial moral agents. A session was dedicated to criteria for attributing moral agency, and whether a mindless system can be a moral agent. This opened up into a broader discussion of what machines could understand, emotional intelligence, embodied cognition, and social skil ...
... systems could be full artificial moral agents. A session was dedicated to criteria for attributing moral agency, and whether a mindless system can be a moral agent. This opened up into a broader discussion of what machines could understand, emotional intelligence, embodied cognition, and social skil ...
Chapter 1
... – What factors create these new pressures? (From our environ, business partners, customers) ...
... – What factors create these new pressures? (From our environ, business partners, customers) ...
Chapter 02 for Neuro-Fuzzy and Soft Computing
... SC Constituants and Conventional AI (1) “SC is an emerging approach to computing which parallel the remarkable ability of the human mind to reason and learn in a environment of uncertainty and imprecision” [Lotfi A. ...
... SC Constituants and Conventional AI (1) “SC is an emerging approach to computing which parallel the remarkable ability of the human mind to reason and learn in a environment of uncertainty and imprecision” [Lotfi A. ...
Reasoning robot, involved tasks/modules and robot world
... Why? The robot has several degrees of freedom, which induces a high dimensional search space. The search algorithms (as finding the shortest path in a graph) have exponential complexity. The pragmatic solution (divide and conquer) is to separate the ...
... Why? The robot has several degrees of freedom, which induces a high dimensional search space. The search algorithms (as finding the shortest path in a graph) have exponential complexity. The pragmatic solution (divide and conquer) is to separate the ...
What is Intelligence? - Cornell Computer Science
... It is not my aim to surprise or shock you – but the simplest way I can summarize is to say that there are now in the world machines that think, that learn and that create. Moreover their ability to do these things is going to increase rapidly until – in the visible future – the range of problems tha ...
... It is not my aim to surprise or shock you – but the simplest way I can summarize is to say that there are now in the world machines that think, that learn and that create. Moreover their ability to do these things is going to increase rapidly until – in the visible future – the range of problems tha ...
sv-lncs - Artificial Intelligence Applications Institute
... vision a reality. Kitano and Tadokoro (2001) outlined some of this in a 50-year programme of work for future rescue robotics in Japan. They have also introduced the annual RoboCup Rescue Simulation competition held to test systems in a simulation of the 1995 Kobe earthquake. There have been several ...
... vision a reality. Kitano and Tadokoro (2001) outlined some of this in a 50-year programme of work for future rescue robotics in Japan. They have also introduced the annual RoboCup Rescue Simulation competition held to test systems in a simulation of the 1995 Kobe earthquake. There have been several ...
(discipline) program systems and complexes in quality management
... 19. Describe the concept and define the purpose of domain area ontology. 20. What is the purpose of knowledge model? 21. Give the components of ES KARRA. 22. What are the tools of expert systems design in ES KARRA? 23. Explain the concepts: frame, object, and slot. 24. Describe the need to use the m ...
... 19. Describe the concept and define the purpose of domain area ontology. 20. What is the purpose of knowledge model? 21. Give the components of ES KARRA. 22. What are the tools of expert systems design in ES KARRA? 23. Explain the concepts: frame, object, and slot. 24. Describe the need to use the m ...
USI1
... • From whom/ what do we get this information? – Other participants – Existing variables ...
... • From whom/ what do we get this information? – Other participants – Existing variables ...
From: AAAI Technical Report S-9 -0 . Compilation copyright © 199
... The second system, called SNEAKERS [Douglas & Brown1993], was intended to be used during training courses to help educate users about the powerof CEand its importance. As such, it is a single-user system, with the other membersof the CEteam being simulated by expert systems (agents). The user desig ...
... The second system, called SNEAKERS [Douglas & Brown1993], was intended to be used during training courses to help educate users about the powerof CEand its importance. As such, it is a single-user system, with the other membersof the CEteam being simulated by expert systems (agents). The user desig ...
ADVANCES IN KNOWLEDGE ACQUISITION AND
... problem, and of advanced quantification for the logic of determination of objects. Firstorder logic is also used as the basis of methods for structural verification of proofs derived from automated theorem proving and the definition of ontologies and their mapping between domains. Yet, alternatives ...
... problem, and of advanced quantification for the logic of determination of objects. Firstorder logic is also used as the basis of methods for structural verification of proofs derived from automated theorem proving and the definition of ontologies and their mapping between domains. Yet, alternatives ...
LOGIC PROGRAMMING - University College Dublin
... human and a machine. The interrogator is physically removed from the other two participants. He can communicate with each of them by way of a teletype, he does not however, know which participant is machine and which is human. His task is to establish which one is the machine and which is the human. ...
... human and a machine. The interrogator is physically removed from the other two participants. He can communicate with each of them by way of a teletype, he does not however, know which participant is machine and which is human. His task is to establish which one is the machine and which is the human. ...
Global Optimization for Multiple Agents - Infoscience
... the agents. Often, however, multiple outcomes are feasible, and the agents have preferences over these outcomes. A solution to a coordination problem is thus a feasible outcome that maximizes the local preferences of the different agents. An example of a coordination problem can be found in logistic ...
... the agents. Often, however, multiple outcomes are feasible, and the agents have preferences over these outcomes. A solution to a coordination problem is thus a feasible outcome that maximizes the local preferences of the different agents. An example of a coordination problem can be found in logistic ...
the application of artificial intelligence methods in heat - QRC
... elements from the examined problem area. Deduction component task is to choose knowledge elements from knowledge base and, at the end, connect them into meaningful deduction. Deduction quality which knowledge mechanism is bringing depends on, so called, expert system communication elements. Their ma ...
... elements from the examined problem area. Deduction component task is to choose knowledge elements from knowledge base and, at the end, connect them into meaningful deduction. Deduction quality which knowledge mechanism is bringing depends on, so called, expert system communication elements. Their ma ...
E-Manufacturing - 3 rd World Congress on Automation and Robotics
... a global vision for the future. The advancement of current technologies in the fields such as data and telecommunications, ubiquitous Internet access and sensor technologies combined with the new revolutionary explorations and concepts in biotechnology and nanotechnology, computer human interface-in ...
... a global vision for the future. The advancement of current technologies in the fields such as data and telecommunications, ubiquitous Internet access and sensor technologies combined with the new revolutionary explorations and concepts in biotechnology and nanotechnology, computer human interface-in ...
Design And Implementation Of Fuzzy Rule
... Unlike two-valued Boolean logic, fuzzy logic is multi valued. Fuzzy logic is a logic that describes fuzziness. As fuzzy logic attempts to model human's sense of words, decision making and common sense, it is leading to more human intelligent machines [8].Fuzzy systems are mathematically based system ...
... Unlike two-valued Boolean logic, fuzzy logic is multi valued. Fuzzy logic is a logic that describes fuzziness. As fuzzy logic attempts to model human's sense of words, decision making and common sense, it is leading to more human intelligent machines [8].Fuzzy systems are mathematically based system ...
Knowledge Request-Broker Architecture: A Platform for
... world environment is too complex for them to precept, understand, and deal with. This issue of environment complexity drives a vast number of research works done on artificial intelligence; yet, even major achievements are insignificant compared to the goal ahead. To name, there are about ten moveme ...
... world environment is too complex for them to precept, understand, and deal with. This issue of environment complexity drives a vast number of research works done on artificial intelligence; yet, even major achievements are insignificant compared to the goal ahead. To name, there are about ten moveme ...
PPT
... Why do we need another paradigm than symbolic AI for building “intelligent” machines? • Symbolic AI is well-suited for representing explicit knowledge that can be appropriately formalized. • However, learning in biological systems is mostly implicit – it is an adaptation process based on uncertain i ...
... Why do we need another paradigm than symbolic AI for building “intelligent” machines? • Symbolic AI is well-suited for representing explicit knowledge that can be appropriately formalized. • However, learning in biological systems is mostly implicit – it is an adaptation process based on uncertain i ...
Artificial Intelligence Winter 2004
... In a subjective situation there is no exact original (like “this is stupid”), only a subjective impression is reflected. In order put subjective vagueness on solid foundations the reasoning in the model is replaced by experiments with the individuals who express their subjective opinions. From ...
... In a subjective situation there is no exact original (like “this is stupid”), only a subjective impression is reflected. In order put subjective vagueness on solid foundations the reasoning in the model is replaced by experiments with the individuals who express their subjective opinions. From ...