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 ...
AAAI News - Association for the Advancement of Artificial Intelligence
... Crest Resort. The cutoff date for reservations is October 4, 1999. Please call 1-800-225-3110 or 1-508-540-9400 for further information. ...
... Crest Resort. The cutoff date for reservations is October 4, 1999. Please call 1-800-225-3110 or 1-508-540-9400 for further information. ...
Sample chapter - Computer Science and Software Engineering
... Let us have a look into another dictionary. Merriam Webster distinguishes three meanings: “(1) an object or structure on land that is easy to see and recognize, (2) a building or place that was important in history, or (3) a very important event or achievement.”4 • Meaning 1 is more or less covering ...
... Let us have a look into another dictionary. Merriam Webster distinguishes three meanings: “(1) an object or structure on land that is easy to see and recognize, (2) a building or place that was important in history, or (3) a very important event or achievement.”4 • Meaning 1 is more or less covering ...
How to Submit Proof Corrections Using Adobe Reader
... the multi-objective fireworks algorithm and the graphic processing unit (GPU) based fireworks algorithm are also presented, particularly the GPU based fireworks algorithm is able to speed up the optimization process considerably. Extensive experiments on 13 benchmark functions demonstrate that the t ...
... the multi-objective fireworks algorithm and the graphic processing unit (GPU) based fireworks algorithm are also presented, particularly the GPU based fireworks algorithm is able to speed up the optimization process considerably. Extensive experiments on 13 benchmark functions demonstrate that the t ...
AI#Kindergarten:.A.method.for.developing.biological#like.artificial
... One!of!the!fundamental!implications!of!triRtraversal!theory!is!that!efficient!cognitive! operations!cannot!be!implemented!solely!by!computational!mechanisms!i.e.,!by! manipulation!of!symbols.!Rather,!according!to!the!theory,!to!make!mental!operations! intellectually!powerful—meaning!to!achieve!high! ...
... One!of!the!fundamental!implications!of!triRtraversal!theory!is!that!efficient!cognitive! operations!cannot!be!implemented!solely!by!computational!mechanisms!i.e.,!by! manipulation!of!symbols.!Rather,!according!to!the!theory,!to!make!mental!operations! intellectually!powerful—meaning!to!achieve!high! ...
Enactive Artificial Intelligence
... synthetic methodology by embodied AI should be primarily viewed as a scientific rather than as an engineering endeavor, while, of course, these two goals do not mutually exclude each other (Pfeifer & Bongard 2007; Harvey 2000). It is therefore important to realize that we are mostly concerned with t ...
... synthetic methodology by embodied AI should be primarily viewed as a scientific rather than as an engineering endeavor, while, of course, these two goals do not mutually exclude each other (Pfeifer & Bongard 2007; Harvey 2000). It is therefore important to realize that we are mostly concerned with t ...
Narrative Intelligence - Carnegie Mellon School of Computer Science
... behaviors. Because of this design choice, a behavior, when turned on, does not know why it is turned on, who was turned on before it, or even who else is ...
... behaviors. Because of this design choice, a behavior, when turned on, does not know why it is turned on, who was turned on before it, or even who else is ...
Discriminative Structure and Parameter Learning for Markov
... L1-regularized weight learning Many new clauses are added at each step and some of them may not be useful in the long run. Use L1-regularization to zero out those clauses Use a state-of-the-art online L1-regularized learning algorithm named ADAGRAD_FB [Duchi et.al., 2010], a L1-regularized adap ...
... L1-regularized weight learning Many new clauses are added at each step and some of them may not be useful in the long run. Use L1-regularization to zero out those clauses Use a state-of-the-art online L1-regularized learning algorithm named ADAGRAD_FB [Duchi et.al., 2010], a L1-regularized adap ...
Robotics - Krupa Vara Prasad Adimulapu
... processing. The design of a given robotic system will often incorporate principles of mechanical engineering, electronic engineering, and computer science (particularly artificial intelligence). The study of biological systems often plays a key role in the systems engineering of a project and also f ...
... processing. The design of a given robotic system will often incorporate principles of mechanical engineering, electronic engineering, and computer science (particularly artificial intelligence). The study of biological systems often plays a key role in the systems engineering of a project and also f ...
6.034 Artificial Intelligence. Copyright © 2004 by Massachusetts
... of automatic inference. And, we've also found that (a) it is quite difficult to write first-order logic and (b) quite expensive to do inference. Both of these conclusions are well justified. Therefore, you may be wondering why we spent the time on logic. We can motivate our study of logic in a varie ...
... of automatic inference. And, we've also found that (a) it is quite difficult to write first-order logic and (b) quite expensive to do inference. Both of these conclusions are well justified. Therefore, you may be wondering why we spent the time on logic. We can motivate our study of logic in a varie ...
Improving the Knowledge-Based Expert System Lifecycle
... through the use of a knowledge base and modern computing power. The traditional methodology for creating knowledge-based expert systems has many commonly encountered issues that can prevent successful implementations. Complications during the knowledge acquisition phase can prevent a knowledge-based ...
... through the use of a knowledge base and modern computing power. The traditional methodology for creating knowledge-based expert systems has many commonly encountered issues that can prevent successful implementations. Complications during the knowledge acquisition phase can prevent a knowledge-based ...
Constraints and AI Planning
... SAT determines whether a propositional formula is satisfiable. Such a formula consists of two-valued variables (true and false), related through the operators ¬ (“not”), (“or” or disjunction), and (“and” or conjunction). Most solvers require that we state the problem as a conjunctive normal form ...
... SAT determines whether a propositional formula is satisfiable. Such a formula consists of two-valued variables (true and false), related through the operators ¬ (“not”), (“or” or disjunction), and (“and” or conjunction). Most solvers require that we state the problem as a conjunctive normal form ...
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 ...
Supervised and unsupervised learning.
... ✘ The likelihood of an instance of the parameters Θ = ( Θk : k ∈ K ) is the probability of T given Θ: ...
... ✘ The likelihood of an instance of the parameters Θ = ( Θk : k ∈ K ) is the probability of T given Θ: ...
Flexible Graphplan - Frontiers in Artificial Intelligence and
... In the Constraint Satisfaction (CSP) community it has become increasingly clear that the classical CSP definition is insufficient to capture the full subtlety of many real world problems. In particular, classical hard constraints (which are imperative and are either fully satisfied or fully violated ...
... In the Constraint Satisfaction (CSP) community it has become increasingly clear that the classical CSP definition is insufficient to capture the full subtlety of many real world problems. In particular, classical hard constraints (which are imperative and are either fully satisfied or fully violated ...
Intelligence virtual analyst capability
... analyze information, and disseminate required intelligence. The main challenge facing the analysts is not a lack of data – in some ways they are drowning in data – but rather managing and making sense of the large amount of data being presented to them. This overload problem (at the information and ...
... analyze information, and disseminate required intelligence. The main challenge facing the analysts is not a lack of data – in some ways they are drowning in data – but rather managing and making sense of the large amount of data being presented to them. This overload problem (at the information and ...
The 1995 Robot Competition and Exhibition - David P. Miller
... It has a custom-built voice-recognition system and speech synthesizer. Although its native language is Korean, it spoke perfect English throughout the competition. The control architecture was designed to combine both behavior-based and knowledge-based approaches. Major components of the navigation ...
... It has a custom-built voice-recognition system and speech synthesizer. Although its native language is Korean, it spoke perfect English throughout the competition. The control architecture was designed to combine both behavior-based and knowledge-based approaches. Major components of the navigation ...
Artificial Cognitive Systems
... – Cognitive agent is specified by its environment – Cognitive process determines what is real or meaningful for the agent – The system constructs its reality (world) as a result of its operation in that world – Perception provides sensory data to enable effective action, but as a consequence of ...
... – Cognitive agent is specified by its environment – Cognitive process determines what is real or meaningful for the agent – The system constructs its reality (world) as a result of its operation in that world – Perception provides sensory data to enable effective action, but as a consequence of ...
approximate reasoning using anytime algorithms
... Modularity is widely recognized as an important issue in system design and implementation. However, the use of anytime algorithms as the components of a modular system presents a special type of scheduling problem. The question is how much time to allocate to each component in order to maximize the ...
... Modularity is widely recognized as an important issue in system design and implementation. However, the use of anytime algorithms as the components of a modular system presents a special type of scheduling problem. The question is how much time to allocate to each component in order to maximize the ...
PDF 1 of 2 - Massachusetts Institute of Technology
... The Skolem insight is that when you have an existential quantification like this, you're saying there is such a thing as a unicorn, let's say that P means "unicorn". There exists a thing such that it's a unicorn. You can just say, all right, well, if there is one, let's call it Fred. That's it. That ...
... The Skolem insight is that when you have an existential quantification like this, you're saying there is such a thing as a unicorn, let's say that P means "unicorn". There exists a thing such that it's a unicorn. You can just say, all right, well, if there is one, let's call it Fred. That's it. That ...
Study guide
... Nijenborgh 9 9747 AG Groningen Telephone: Zernike: (0031) (0)50 363 4422 ADL: (0031) (0)50 363 3315 or 3343 E-mail: esc.fwn@rug.nl ...
... Nijenborgh 9 9747 AG Groningen Telephone: Zernike: (0031) (0)50 363 4422 ADL: (0031) (0)50 363 3315 or 3343 E-mail: esc.fwn@rug.nl ...
MSc_2011 - University of Alberta
... Dynamic Learning Serves to increase throughput with priority generation algorithm Assumes users are only able to identify a small ...
... Dynamic Learning Serves to increase throughput with priority generation algorithm Assumes users are only able to identify a small ...
Ray and the Dartmouth Summer of 56
... is subject to change when the group gets together.”[10] The actual participants came at different times, mostly for much shorter times. Trenchard More replaced Rochester for three weeks, and MacKay and Holland did not attend — but the project was set to begin. So around June 18, 1956, the earliest p ...
... is subject to change when the group gets together.”[10] The actual participants came at different times, mostly for much shorter times. Trenchard More replaced Rochester for three weeks, and MacKay and Holland did not attend — but the project was set to begin. So around June 18, 1956, the earliest p ...