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Mapping the Envelope of Social Simulation Trajectories
, 1979
"... . In this paper we present a methodology aimed at systematically exploring the shape of the `envelope' of simulation trajectories and the implicit theory that a simulation represents. Thus it complements methods like Monte Carlo analysis, the inspection of single scenarios and syntactical pr ..."
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. In this paper we present a methodology aimed at systematically exploring the shape of the `envelope' of simulation trajectories and the implicit theory that a simulation represents. Thus it complements methods like Monte Carlo analysis, the inspection of single scenarios and syntactical
Mapping the Envelope of Social Simulation Trajectories
 AND PAUL DAVIDSSON (EDITORS), MULTI AGENT BASED SIMULATION (MABS2000), LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
, 2000
"... Discovering and studying emergent phenomena are among the most important activities in social research. Replicating this phenomenon in "the lab" using simulation is an important tool for understanding it. MultiAgent Systems (MAS) provide a suitable framework for such simulation. When such ..."
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Cited by 6 (3 self)
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such simulations are used to represent social processes there are necessarily indeterministic and arbitrary aspects, which are typically represented as either random choices (or numbers) or constants chosen by the programmer. Each such `choice' means that the simulation takes one of the possible `trajectories
Constraint Exploration and Envelope of Simulation Trajectories
"... The implicit theory that a simulation represents is precisely not in the individual choices but rather in the `envelope' of possible trajectories  what is important is the shape of the whole envelope. Typically a huge amount of computation is required when experimenting with factors bearin ..."
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The implicit theory that a simulation represents is precisely not in the individual choices but rather in the `envelope' of possible trajectories  what is important is the shape of the whole envelope. Typically a huge amount of computation is required when experimenting with factors
Constraint Modelbased Exploration of Simulation Trajectories
 in a MABS Model, Centre for Policy Modelling, MMU
, 2004
"... Abstract. This paper presents a method used for systematically investigating the content of a simulation model [see 1718] in terms of constraint logic programming, more specifically as a forward chaining (modelbased) constraint exploration of simulation trajectories. Possible applications of this ..."
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Cited by 1 (1 self)
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Abstract. This paper presents a method used for systematically investigating the content of a simulation model [see 1718] in terms of constraint logic programming, more specifically as a forward chaining (modelbased) constraint exploration of simulation trajectories. Possible applications
Numerical integration of the Cartesian equations of motion of a system with constraints: molecular dynamics of nalkanes
 J. Comput. Phys
, 1977
"... A numerical algorithm integrating the 3N Cartesian equations of motion of a system of N points subject to holonomic constraints is formulated. The relations of constraint remain perfectly fulfilled at each step of the trajectory despite the approximate character of numerical integration. The method ..."
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Cited by 704 (6 self)
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A numerical algorithm integrating the 3N Cartesian equations of motion of a system of N points subject to holonomic constraints is formulated. The relations of constraint remain perfectly fulfilled at each step of the trajectory despite the approximate character of numerical integration. The method
Efficient exact stochastic simulation of chemical systems with many species and many channels
 J. Phys. Chem. A
, 2000
"... There are two fundamental ways to view coupled systems of chemical equations: as continuous, represented by differential equations whose variables are concentrations, or as discrete, represented by stochastic processes whose variables are numbers of molecules. Although the former is by far more comm ..."
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Cited by 427 (5 self)
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simulation methods to simulate trajectories of discrete, stochastic systems, (methods that are rigorously equivalent to the Master Equation approach) but these do not scale well to systems with many reaction pathways. This paper presents the Next Reaction Method, an exact algorithm to simulate coupled
Supporting the Integrated Visual Analysis of Input Parameters and Simulation Trajectories
"... The visualization of simulation trajectories is a wellestablished approach to analyze simulated processes. Likewise, the visualization of the parameter space that configures a simulation is a wellknown method to get an overview of possible parameter combinations. This paper follows the premise tha ..."
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The visualization of simulation trajectories is a wellestablished approach to analyze simulated processes. Likewise, the visualization of the parameter space that configures a simulation is a wellknown method to get an overview of possible parameter combinations. This paper follows the premise
Control of Systems Integrating Logic, Dynamics, and Constraints
 Automatica
, 1998
"... This paper proposes a framework for modeling and controlling systems described by interdependent physical laws, logic rules, and operating constraints, denoted as Mixed Logical Dynamical (MLD) systems. These are described by linear dynamic equations subject to linear inequalities involving real and ..."
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Cited by 413 (50 self)
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reference trajectories while fulfilling operating constraints, and possibly take into account previous qualitative knowledge in the form of heuristic rules. Due to the presence of integer variables, the resulting online optimization procedures are solved through Mixed Integer Quadratic Programming (MIQP
A scalable parallel framework for analyzing terascale molecular dynamics simulation trajectories
 In Proceedings of the 2008 ACM/IEEE conference on Supercomputing
, 2008
"... Abstract—As parallel algorithms and architectures drive the longest molecular dynamics (MD) simulations towards the millisecond scale, traditional sequential postsimulation data analysis methods are becoming increasingly untenable. Inspired by the programming interface of Google’s MapReduce, we hav ..."
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Cited by 11 (1 self)
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Abstract—As parallel algorithms and architectures drive the longest molecular dynamics (MD) simulations towards the millisecond scale, traditional sequential postsimulation data analysis methods are becoming increasingly untenable. Inspired by the programming interface of Google’s MapReduce, we
for further reproduction. Utilizing Averaged Configuations from Molecular Dynamics Simulation Trajectories
"... One of the challenges in the largescale simulations required for many molecular systems (such as those of biological interested) is the recording, monitoring and visualization of configvrational information from molecular dynamics trajectories spanning millions, and sometimes billions, vf timesteps ..."
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One of the challenges in the largescale simulations required for many molecular systems (such as those of biological interested) is the recording, monitoring and visualization of configvrational information from molecular dynamics trajectories spanning millions, and sometimes billions, vf
Results 1  10
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