State-set branching: Leveraging BDDs for heuristic search
... [46]. Such heuristic functions are often encountered in practice, since many heuristics are derived from a relaxation of the search problem that is likely to introduce a relative error. Furthermore, in order to detect duplicate states and construct a solution, A* must keep all expanded nodes in memo ...
... [46]. Such heuristic functions are often encountered in practice, since many heuristics are derived from a relaxation of the search problem that is likely to introduce a relative error. Furthermore, in order to detect duplicate states and construct a solution, A* must keep all expanded nodes in memo ...
ppt - CSE, IIT Bombay
... • AI is a fascinating discipline, needing input from many branches of knowledge. • Scaling up and robustness are the needs of today’s world. • Web has introduced new challenges to the field. • Language processing and machine learning have assumed great importance. • In this lecture we took a look at ...
... • AI is a fascinating discipline, needing input from many branches of knowledge. • Scaling up and robustness are the needs of today’s world. • Web has introduced new challenges to the field. • Language processing and machine learning have assumed great importance. • In this lecture we took a look at ...
Proceedings of the Seventh Int’l Conf. on Artificial Intelligence and Expert... San Francisco, November, 1995.
... The “Object-Oriented Simulation Module” (OOSM) of the RBOOS system was implemented in CLOS using a three-phase discrete event simulation [3] algorithm. The simulator was implemented as two main layers. The first layer consists of a general object-oriented discrete event simulator with classes define ...
... The “Object-Oriented Simulation Module” (OOSM) of the RBOOS system was implemented in CLOS using a three-phase discrete event simulation [3] algorithm. The simulator was implemented as two main layers. The first layer consists of a general object-oriented discrete event simulator with classes define ...
Case Representation Issues for Case
... solution space and this approach has been explored in the lazy learning literature (Wettschereck, Aha, & Mohri, 1997). (Bonzano, Cunningham & Smyth, 1997) The difficulty with this approach is the problem of determining appropriate feature weights. It is well known that learning feature weights from ...
... solution space and this approach has been explored in the lazy learning literature (Wettschereck, Aha, & Mohri, 1997). (Bonzano, Cunningham & Smyth, 1997) The difficulty with this approach is the problem of determining appropriate feature weights. It is well known that learning feature weights from ...
Turing Test: 50 Years Later - Center for Research in Language
... paper easier to understand. He could have introduced the IG exactly as he did with the woman-man issue replaced by the human-machine issue and it obviously would not be any more confusing. The main reason that the decision concerning machine thought is to be based on imitating a woman in the game is ...
... paper easier to understand. He could have introduced the IG exactly as he did with the woman-man issue replaced by the human-machine issue and it obviously would not be any more confusing. The main reason that the decision concerning machine thought is to be based on imitating a woman in the game is ...
... That the concept of a heuristic has been, and continues to be, central in A1 is too well known to require documentation. Less well known, perhaps, is the fact that this central concept has always had a number of distinct “dimensions of meaning” associated with it, and throughout the history of its u ...
What is a heuristic? - University of Alberta
... That the concept of a heuristic has been, and continues to be, central in A1 is too well known to require documentation. Less well known, perhaps, is the fact that this central concept has always had a number of distinct “dimensions of meaning” associated with it, and throughout the history of its u ...
... That the concept of a heuristic has been, and continues to be, central in A1 is too well known to require documentation. Less well known, perhaps, is the fact that this central concept has always had a number of distinct “dimensions of meaning” associated with it, and throughout the history of its u ...
Real-Time Search for Autonomous Agents and
... 3. Controlling learning processes An important capability of real-time search is learning, that is, as in LRTA*, the solution path converges to an optimal path by repeating problem solving trials. In this section, we will focus not on the performance of the first problem solving trial, but on the le ...
... 3. Controlling learning processes An important capability of real-time search is learning, that is, as in LRTA*, the solution path converges to an optimal path by repeating problem solving trials. In this section, we will focus not on the performance of the first problem solving trial, but on the le ...
Description Logics
... Another important observation was that DLs are very closely related to modal logics [103]. Phase 3 (1995–2000) is characterized by the development of inference procedures for very expressive DLs, either based on the tableau-approach [70, 71] or on a translation into modal logics [44, 45, 43, 46]. Hi ...
... Another important observation was that DLs are very closely related to modal logics [103]. Phase 3 (1995–2000) is characterized by the development of inference procedures for very expressive DLs, either based on the tableau-approach [70, 71] or on a translation into modal logics [44, 45, 43, 46]. Hi ...
Early Artificial Life
... that got rather forgotten in the rise of Computing. Well worth searching for this early Cybernetics work -- I consider Design for a Brain, by W Ross Ashby, Wiley & Sons 1952, enormously important. Non-Symbolic AI lecture 1 ...
... that got rather forgotten in the rise of Computing. Well worth searching for this early Cybernetics work -- I consider Design for a Brain, by W Ross Ashby, Wiley & Sons 1952, enormously important. Non-Symbolic AI lecture 1 ...
Brief Survey on Computational Solutions for Bayesian Inference
... and trade-offs of each proposed solution. In recent years, the Bayesian approach has become increasingly popular, endowing autonomous systems with the ability to deal with uncertainty and incompleteness. However, these systems are also expected to be efficient, while Bayesian inference in general is ...
... and trade-offs of each proposed solution. In recent years, the Bayesian approach has become increasingly popular, endowing autonomous systems with the ability to deal with uncertainty and incompleteness. However, these systems are also expected to be efficient, while Bayesian inference in general is ...
Planning with h+ in Theory and Practice
... is clear evidence that delete relaxations are a very important approach to heuristic planning. Still, quite little is known about their theoretical properties, and in particular about their limitations. The motivation of most of the research efforts mentioned above is to find more and more precise e ...
... is clear evidence that delete relaxations are a very important approach to heuristic planning. Still, quite little is known about their theoretical properties, and in particular about their limitations. The motivation of most of the research efforts mentioned above is to find more and more precise e ...
Artificial Intelligence UNIT I Page 1 of 116 CSE– Dhaanish Ahmed
... History of Artificial Intelligence The gestation of artificial intelligence (1943-1955) There were a number of early examples of work that can be characterized as AI, but it was Alan Turing who first articulated a complete vision of A1 in his 1950 article "Computing Machinery and Intelligence." Ther ...
... History of Artificial Intelligence The gestation of artificial intelligence (1943-1955) There were a number of early examples of work that can be characterized as AI, but it was Alan Turing who first articulated a complete vision of A1 in his 1950 article "Computing Machinery and Intelligence." Ther ...
A Argumentation Mining: State of the Art and Emerging Trends
... ACM Transactions on Internet Technology, Vol. V, No. N, Article A, Publication date: January YYYY. ...
... ACM Transactions on Internet Technology, Vol. V, No. N, Article A, Publication date: January YYYY. ...
Intelligent Agents: Theory and Practice
... widely used, by many people working in closely related areas, it defies attempts to produce a single universally accepted definition. This need not necessarily be a problem: after all, if many people are successfully developing interesting and useful applications, then it hardly matters that they do ...
... widely used, by many people working in closely related areas, it defies attempts to produce a single universally accepted definition. This need not necessarily be a problem: after all, if many people are successfully developing interesting and useful applications, then it hardly matters that they do ...
the excerpt from a UBS CIO WM
... a human. In the most simplistic terms, AI leverages self-learning systems by using multiple tools like data mining, pattern recognition and natural language processing. It operates similar to how a normal human brain functions during regular tasks like common-sense reasoning, forming an opinion or s ...
... a human. In the most simplistic terms, AI leverages self-learning systems by using multiple tools like data mining, pattern recognition and natural language processing. It operates similar to how a normal human brain functions during regular tasks like common-sense reasoning, forming an opinion or s ...
Logics for Intelligent Agents and Multi
... Let us now consider these properties deemed desirable by Rao & Georgeff again. The first formula describes Rao & Georgeff’s notion of ’strong realism’ and constitutes a kind of beliefgoal compatibility: it says that the agent believes he can optionally achieve his goals. There is some controversy on ...
... Let us now consider these properties deemed desirable by Rao & Georgeff again. The first formula describes Rao & Georgeff’s notion of ’strong realism’ and constitutes a kind of beliefgoal compatibility: it says that the agent believes he can optionally achieve his goals. There is some controversy on ...
CV - Computer Science Intranet
... decision making” at the European Conference on Artificial Intelligence, August 2000. • Game theoretic and decision theoretic agents, Workshop on “Multi-agent Learning: Theory and practice” at the International Conference on Machine Learning, July 2000. • Intelligent systems for reasoning about futur ...
... decision making” at the European Conference on Artificial Intelligence, August 2000. • Game theoretic and decision theoretic agents, Workshop on “Multi-agent Learning: Theory and practice” at the International Conference on Machine Learning, July 2000. • Intelligent systems for reasoning about futur ...
Essay on „Daemon“ by Daniel Suarez To my mind, “Daemon” was a
... I would try to prevent it from killing people. Maybe it is impossible to exclude the case that the system eventually learns that homicide is helpful to pursue its objective. Then it could learn to reject its inherent ethical rules in order to pursue its optimized algorithm, including murder. So how ...
... I would try to prevent it from killing people. Maybe it is impossible to exclude the case that the system eventually learns that homicide is helpful to pursue its objective. Then it could learn to reject its inherent ethical rules in order to pursue its optimized algorithm, including murder. So how ...
