STRIPS: A New Approach to the Application of Theorem Proving to
... and general world models compared to those needed in the solution of puzzles and games. In puzzles and games, a simple matrix or list structure is usually adequate to represent a state of the problem. The world model for a robot problem solver, however, must include a large number of facts and relat ...
... and general world models compared to those needed in the solution of puzzles and games. In puzzles and games, a simple matrix or list structure is usually adequate to represent a state of the problem. The world model for a robot problem solver, however, must include a large number of facts and relat ...
Mixed Cumulative Distribution Networks
... marginal independence properties of the bi-directed graph imply P (XA = 0, XB = 0) = P (XA = 0)P (XB = 0) if no element in XA is adjacent to any element in XB in G. Therefore, the set of independent parameters in this parameterization is given by {qA }, for all XA that forms a connected set in G. Th ...
... marginal independence properties of the bi-directed graph imply P (XA = 0, XB = 0) = P (XA = 0)P (XB = 0) if no element in XA is adjacent to any element in XB in G. Therefore, the set of independent parameters in this parameterization is given by {qA }, for all XA that forms a connected set in G. Th ...
Responder endpoint and continuous endpoint, logistic regression or
... To obtain the same precision of estimate from probit and logit as for ANCOVA twice as many observations are needed ...
... To obtain the same precision of estimate from probit and logit as for ANCOVA twice as many observations are needed ...
Reinforcement Learning for Neural Networks using Swarm Intelligence
... the cart is the track. Letting a pole fall more than 36° from vertical or running off the track constitutes failure. To prove itself to be a valid solution, an ANN must pass 10 trials, each lasting 100,000 simulation steps. ...
... the cart is the track. Letting a pole fall more than 36° from vertical or running off the track constitutes failure. To prove itself to be a valid solution, an ANN must pass 10 trials, each lasting 100,000 simulation steps. ...
Paper
... methodology for designing them on the basis of a complex physicochemical analysis of the interactions occurring during fusion welding between the liquid metal and the slag, the various structural transformations, and the thermally induced deformation processes occurring during the primary and secon ...
... methodology for designing them on the basis of a complex physicochemical analysis of the interactions occurring during fusion welding between the liquid metal and the slag, the various structural transformations, and the thermally induced deformation processes occurring during the primary and secon ...
Semi-Supervised Adapted HMMs for Unusual Event Detection
... unusual events models are handcoded using a set of predefined spatial semantic primitives (e.g. “close” or “adjacent”). Although unusual event models can be created with intuitive primitives for simple cases, it is infeasible for complex events, in which primitives are difficult to define. As an alt ...
... unusual events models are handcoded using a set of predefined spatial semantic primitives (e.g. “close” or “adjacent”). Although unusual event models can be created with intuitive primitives for simple cases, it is infeasible for complex events, in which primitives are difficult to define. As an alt ...
Computer simulation
A computer simulation is a simulation, run on a single computer, or a network of computers, to reproduce behavior of a system. The simulation uses an abstract model (a computer model, or a computational model) to simulate the system. Computer simulations have become a useful part of mathematical modeling of many natural systems in physics (computational physics), astrophysics, climatology, chemistry and biology, human systems in economics, psychology, social science, and engineering. Simulation of a system is represented as the running of the system's model. It can be used to explore and gain new insights into new technology and to estimate the performance of systems too complex for analytical solutions.Computer simulations vary from computer programs that run a few minutes to network-based groups of computers running for hours to ongoing simulations that run for days. The scale of events being simulated by computer simulations has far exceeded anything possible (or perhaps even imaginable) using traditional paper-and-pencil mathematical modeling. Over 10 years ago, a desert-battle simulation of one force invading another involved the modeling of 66,239 tanks, trucks and other vehicles on simulated terrain around Kuwait, using multiple supercomputers in the DoD High Performance Computer Modernization ProgramOther examples include a 1-billion-atom model of material deformation; a 2.64-million-atom model of the complex maker of protein in all organisms, a ribosome, in 2005;a complete simulation of the life cycle of Mycoplasma genitalium in 2012; and the Blue Brain project at EPFL (Switzerland), begun in May 2005 to create the first computer simulation of the entire human brain, right down to the molecular level.Because of the computational cost of simulation, computer experiments are used to perform inference such as uncertainty quantification.