Search - Bilkent CS.
... • states: each is represented by a location (e.g. An airport) and the current time • Initial state: specified by the problem • Successor function: returns the states resulting from taking any scheduled flight, leaving later than the current time plus the within airport transit time, from the current ...
... • states: each is represented by a location (e.g. An airport) and the current time • Initial state: specified by the problem • Successor function: returns the states resulting from taking any scheduled flight, leaving later than the current time plus the within airport transit time, from the current ...
02a Enabling Technology for Knowledge Sharing
... from each other's knowledge without sharing a common knowledge base. Unfortunately, this approach is not generally feasible for today's systems because we lack an agreed-on protocol specifying how systems are to query each other and in what form answers are to be delivered. Similarly, we lack standa ...
... from each other's knowledge without sharing a common knowledge base. Unfortunately, this approach is not generally feasible for today's systems because we lack an agreed-on protocol specifying how systems are to query each other and in what form answers are to be delivered. Similarly, we lack standa ...
An Opinionated History of AAAI - Association for the Advancement of
... on topics of direct interest, unlike the very broad AAAI conference; and third, the subfields saw themselves as international and didn’t want to be organizational subparts of an American professional society. There have been a number of ideas about how to keep relationships with these areas, the mos ...
... on topics of direct interest, unlike the very broad AAAI conference; and third, the subfields saw themselves as international and didn’t want to be organizational subparts of an American professional society. There have been a number of ideas about how to keep relationships with these areas, the mos ...
Incremental Heuristic Search in Artificial Intelligence
... changed since two cells on the original shortest path became untraversable. The length of a shortest path from the start cell to a cell is called its start distance. Once the start distances of all cells are known, one can easily trace back a shortest path from the start cell to the goal cell by alw ...
... changed since two cells on the original shortest path became untraversable. The length of a shortest path from the start cell to a cell is called its start distance. Once the start distances of all cells are known, one can easily trace back a shortest path from the start cell to the goal cell by alw ...
Program Book - Artificial Intelligence Association of Thailand (AIAT)
... Chandavimol (Data Science Thailand) and (4) Visually See Text Mining Math Processes on LSA, SVD, and Gibbs Sampling by Yukari Shirota (Gakushuin University, Japan). As parts of PRIMA 2016, a special tutorial, running as a mini-school on multi-agent systems, is arranged with a number of prominent tut ...
... Chandavimol (Data Science Thailand) and (4) Visually See Text Mining Math Processes on LSA, SVD, and Gibbs Sampling by Yukari Shirota (Gakushuin University, Japan). As parts of PRIMA 2016, a special tutorial, running as a mini-school on multi-agent systems, is arranged with a number of prominent tut ...
Artificial Intelligence: The Ultimate Technological Disruption Ascends
... Why has AI Emerged as a Large Industry Now? ...
... Why has AI Emerged as a Large Industry Now? ...
A clarification on Turing`s test and its implications for - CEUR
... is a function f : Σ∗ → {0, 1} such that O is wrong on f . Proof. Let O be as above, A be a set. If O rejects all functions (i.e. thinks all functions do not compute A) then O is wrong on f , where f (x) = A(x) for every x. So let g be accepted by O. O queries g on finitely many strings x1 , x2 , . . ...
... is a function f : Σ∗ → {0, 1} such that O is wrong on f . Proof. Let O be as above, A be a set. If O rejects all functions (i.e. thinks all functions do not compute A) then O is wrong on f , where f (x) = A(x) for every x. So let g be accepted by O. O queries g on finitely many strings x1 , x2 , . . ...
GNU/Linux AI & Alife HOWTO
... At its roots are programming languages such as Lisp and Prolog though newer systems tend to use more popular procedural languages. Expert systems are the largest successful example of this paradigm. An expert system consists of a detailed knowledge base and a complex rule system to utilize it. Such ...
... At its roots are programming languages such as Lisp and Prolog though newer systems tend to use more popular procedural languages. Expert systems are the largest successful example of this paradigm. An expert system consists of a detailed knowledge base and a complex rule system to utilize it. Such ...
Document
... However the number of all possible positions is so large (10120) that using even the fastest available computer it will take billions of years to consider all possible moves. • Skilled players may look at 20 moves ahead by pruning, i.e. ignoring non-promising moves. Sept. 2008 ...
... However the number of all possible positions is so large (10120) that using even the fastest available computer it will take billions of years to consider all possible moves. • Skilled players may look at 20 moves ahead by pruning, i.e. ignoring non-promising moves. Sept. 2008 ...
Document
... • The key benefit of fuzzy logic is simple "if-then" relations to describe systems behaviour. • This leads to simpler time. ...
... • The key benefit of fuzzy logic is simple "if-then" relations to describe systems behaviour. • This leads to simpler time. ...
David C. Parkes - Harvard John A. Paulson School of Engineering
... • Journal Refereeing (Computer Science): J. of Artificial Intelligence Research, J. of Computer and Systems Sciences, ACM Transactions on Internet Technology, Naval Research Logistics, Artificial Intelligence J., IEEE Transactions on Computers, IEEE J. on Selected Areas in Communications, IEEE Tran ...
... • Journal Refereeing (Computer Science): J. of Artificial Intelligence Research, J. of Computer and Systems Sciences, ACM Transactions on Internet Technology, Naval Research Logistics, Artificial Intelligence J., IEEE Transactions on Computers, IEEE J. on Selected Areas in Communications, IEEE Tran ...
What is Intelligence? - Cornell Computer Science
... 1950s Early AI programs, including Samuel’s checkers program, Newell and Simon’s Logic theorist 1956 Dartmouth meeting : Birth of “Artificial Intelligence” ...
... 1950s Early AI programs, including Samuel’s checkers program, Newell and Simon’s Logic theorist 1956 Dartmouth meeting : Birth of “Artificial Intelligence” ...
cognitive systems
... • 1956 Dartmouth conference: Artificial intelligence with aim of human like intelligence • 1956-1974 Many small scale “toy” projects in robotics, control and game solving • 1974 Failure of success and Minsky’s criticism of perceptron, lack of computational power, combinatorial explosion, Moravec’s p ...
... • 1956 Dartmouth conference: Artificial intelligence with aim of human like intelligence • 1956-1974 Many small scale “toy” projects in robotics, control and game solving • 1974 Failure of success and Minsky’s criticism of perceptron, lack of computational power, combinatorial explosion, Moravec’s p ...
ibm-cognitive-curriculum-6-6
... considerations span a wide range of contexts from interaction with devices and environments with local machine intelligence, through systems engineering and human factors of collaboration in teams of augmented individuals in diverse contexts, to design of work in global organizations with support fr ...
... considerations span a wide range of contexts from interaction with devices and environments with local machine intelligence, through systems engineering and human factors of collaboration in teams of augmented individuals in diverse contexts, to design of work in global organizations with support fr ...
CS 8520: Artificial Intelligence
... • simplification, or any other kind of device • which drastically limits search for solutions • in large problem spaces. • Heuristics do not guarantee optimal solutions; in fact, they do not guarantee any solution at all: all that can be said for a useful heuristic is that it offers solutions which ...
... • simplification, or any other kind of device • which drastically limits search for solutions • in large problem spaces. • Heuristics do not guarantee optimal solutions; in fact, they do not guarantee any solution at all: all that can be said for a useful heuristic is that it offers solutions which ...
Reflections on Brian Shackels Usability
... of productivity and quality. But the picture is not simple. For example, it may not increase the speed of implementation or reliability of the programs, but may improve program understanding. Such process issues are at the core of Shackel’s paper. 3.2. On-going research into usability test methods I ...
... of productivity and quality. But the picture is not simple. For example, it may not increase the speed of implementation or reliability of the programs, but may improve program understanding. Such process issues are at the core of Shackel’s paper. 3.2. On-going research into usability test methods I ...
Lecture 11 - Chapter 7
... act on patterns or trends that it detects in large sets of data • Employs massively parallel processors in a meshlike architectural structure • AI Trilogy is a neural network software program that can run on a standard PC ...
... act on patterns or trends that it detects in large sets of data • Employs massively parallel processors in a meshlike architectural structure • AI Trilogy is a neural network software program that can run on a standard PC ...
What Are Ontologies, and Why Do We Need Them?
... between objects can span a range of specificity, such as connected, electrically-connected, and soldered-to. Subtypes of concepts. Ontologies generally appear as a taxonomic tree of conceptualizations, from very general and domainindependent at the top levels to increasingly domain-specific further ...
... between objects can span a range of specificity, such as connected, electrically-connected, and soldered-to. Subtypes of concepts. Ontologies generally appear as a taxonomic tree of conceptualizations, from very general and domainindependent at the top levels to increasingly domain-specific further ...
CS 8520: Artificial Intelligence
... • simplification, or any other kind of device • which drastically limits search for solutions • in large problem spaces. • Heuristics do not guarantee optimal solutions; in fact, they do not guarantee any solution at all: all that can be said for a useful heuristic is that it offers solutions which ...
... • simplification, or any other kind of device • which drastically limits search for solutions • in large problem spaces. • Heuristics do not guarantee optimal solutions; in fact, they do not guarantee any solution at all: all that can be said for a useful heuristic is that it offers solutions which ...
The Next Knowledge Medium
... civilization dramatically. The article is in three parts: stories, models, and predictions. The stories describe processes of cultural change that have been studied by historians and anthropologists. They provide a historical context for considering present and future cultural changes. To illuminate ...
... civilization dramatically. The article is in three parts: stories, models, and predictions. The stories describe processes of cultural change that have been studied by historians and anthropologists. They provide a historical context for considering present and future cultural changes. To illuminate ...
Abstract - NYU Computer Science
... The importance of real-world knowledge for natural language processing, and in particular for disambiguation of all kinds, was discussed as early as 1960, by Bar-Hillel (1960), in the context of machine translation. Although some ambiguities can be resolved using simple rules that are comparatively ...
... The importance of real-world knowledge for natural language processing, and in particular for disambiguation of all kinds, was discussed as early as 1960, by Bar-Hillel (1960), in the context of machine translation. Although some ambiguities can be resolved using simple rules that are comparatively ...