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Author: Paul A. Fishwick
Publisher:
ISBN:
Category : Computer simulation
Languages : en
Pages : 0
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Book Description
This project focused on research involving a simulation-based planning methodology and toolkit to help in real-time planning and decision making. A new methodology called OOPM (Object Oriented Physical Modeling) was developed. Development of the MOOSE (Multimodeling Object Oriented Simulation Environment) system, based on the OOPM methodology, has also been underway including modeling windows for finite state automata, differential equations, and functional models. The object-oriented multimodel framework of MOOSE is composed of three parts consisting of a graphical user interface, BLOCKS models based on the BLOCKS modeling language, and the SimPack Toolkit. MOOSE represents a software prototype for constructing simulation-based planning scenarios. The current scenario involves an interdiction mission. The goal is to achieve the mission goals with the fewest casualties. The best plan to achieve this goal is determined with a combination of a 'qualitative' rule-based model and lower level 'quantitative' block-structured models. The MOOSE architecture permits a model abstraction capability to allow users to realize time constraints on the simulation-based planning by simulating models at different levels. The use of an iterative deepening approach to simulation is being investigated.
Author: Paul A. Fishwick
Publisher:
ISBN:
Category : Computer simulation
Languages : en
Pages : 0
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Book Description
This project focused on research involving a simulation-based planning methodology and toolkit to help in real-time planning and decision making. A new methodology called OOPM (Object Oriented Physical Modeling) was developed. Development of the MOOSE (Multimodeling Object Oriented Simulation Environment) system, based on the OOPM methodology, has also been underway including modeling windows for finite state automata, differential equations, and functional models. The object-oriented multimodel framework of MOOSE is composed of three parts consisting of a graphical user interface, BLOCKS models based on the BLOCKS modeling language, and the SimPack Toolkit. MOOSE represents a software prototype for constructing simulation-based planning scenarios. The current scenario involves an interdiction mission. The goal is to achieve the mission goals with the fewest casualties. The best plan to achieve this goal is determined with a combination of a 'qualitative' rule-based model and lower level 'quantitative' block-structured models. The MOOSE architecture permits a model abstraction capability to allow users to realize time constraints on the simulation-based planning by simulating models at different levels. The use of an iterative deepening approach to simulation is being investigated.
Author: Paul A. Fishwick
Publisher:
ISBN:
Category : Computer simulation
Languages : en
Pages : 180
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Book Description
This project focused on research involving a simulation-based planning methodology and toolkit to help in real-time planning and decision making. A new methodology called OOPM (Object Oriented Physical Modeling) was developed. Development of the MOOSE (Multimodeling Object Oriented Simulation Environment) system, based on the OOPM methodology, has also been underway including modeling windows for finite state automata, differential equations, and functional models. The object-oriented multimodel framework of MOOSE is composed of three parts consisting of a graphical user interface, BLOCKS models based on the BLOCKS modeling language, and the SimPack Toolkit. MOOSE represents a software prototype for constructing simulation-based planning scenarios. The current scenario involves an interdiction mission. The goal is to achieve the mission goals with the fewest casualties. The best plan to achieve this goal is determined with a combination of a 'qualitative' rule-based model and lower level 'quantitative' block-structured models. The MOOSE architecture permits a model abstraction capability to allow users to realize time constraints on the simulation-based planning by simulating models at different levels. The use of an iterative deepening approach to simulation is being investigated.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Significant progress was made in a number of proposed research areas. The first major task in the proposal involved incorporating simulation-based optimization (and, in particular, ordinal optimization) into dynamic optimization problems. In support of this task, progress was made on new sampling methods for Markov Decision Processes (MDPs), a new time aggregation approach for MDPs, simulation-based methods for weighted cost-to-go MDPs, approaches to proving the exponential convergence rate of ordinal comparisons, approximate receding horizon approaches to MDPs and Markov games, and new classes of stochastic approximation algorithms. In support of the second major task that involved estimation and control algorithms for dynamic hierarchical and graphical models, a variety of algorithms and analytical tools were developed for models on graphs with loops that exploit embedded loop-free structure. These algorithms offer the potential of significantly enhanced solutions to a variety of optimization problems critical to the Air Force. Another major task in the proposal involved risk-sensitive estimation and control. In support of this task, a new filtering scheme for the risk-sensitive state estimation of partially observed Markov chains was introduced and analyzed.
Author: Edgar David Whyte
Publisher:
ISBN:
Category : Stochastic processes
Languages : en
Pages : 0
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Book Description
Amoss is a generic equation-orientated stochastic simulation platform speci cally designed to facilitate the development and simulation of stochastic models, using Sasol's in-house MOSS methodology. In the current situation in Sasol, modelling stochastic processes with recycle streams (feedbacks) using the MOSS methodology is a laborious task. To simulate these models with acceptable accuracy and simulation speed the model equations were derived and ordered manually. This human input leads to long development times and makes it hard to alter an already created model. Amoss aims to automate the development of MOSS simulation hence the name automatic-MOSS and is an extension of the MOSS methodology. The automation was achieved by automatically creating the bulk of the model equations and leave only the inputs that make each model unique as user inputs. The aspects that make each model unique were identi ed as the characteristics of the unit operations, how these operational units are connected, the heuristic rules that govern how the process is operated and the stochastic elements. Given these inputs, a stochastic model is automatically created and ordered to the bordered lower triangular form. The created models are simulated using Euler's algorithm for integration, coupled with automatic di erentiation and multidimensional Newton's method to nd the roots of the system of equations at each time step. The models created using MOSS are embarassingly parallel, and simulation speed was increased by employing parallel processing to exploit the decoupled nature of these simulations. Amoss consists of all the necessary building blocks to create and simulate stochastic simulations and provides a good platform from which improvements in usability and expansions to the MOSS methodology can be made.
Author: George E. Orr
Publisher:
ISBN: 9781585661022
Category : Command and control systems
Languages : en
Pages : 0
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Book Description
Author: Alan H. Bond
Publisher: Morgan Kaufmann
ISBN: 1483214443
Category : Computers
Languages : en
Pages : 668
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Book Description
Most artificial intelligence research investigates intelligent behavior for a single agent--solving problems heuristically, understanding natural language, and so on. Distributed Artificial Intelligence (DAI) is concerned with coordinated intelligent behavior: intelligent agents coordinating their knowledge, skills, and plans to act or solve problems, working toward a single goal, or toward separate, individual goals that interact. DAI provides intellectual insights about organization, interaction, and problem solving among intelligent agents. This comprehensive collection of articles shows the breadth and depth of DAI research. The selected information is relevant to emerging DAI technologies as well as to practical problems in artificial intelligence, distributed computing systems, and human-computer interaction. "Readings in Distributed Artificial Intelligence" proposes a framework for understanding the problems and possibilities of DAI. It divides the study into three realms: the natural systems approach (emulating strategies and representations people use to coordinate their activities), the engineering/science perspective (building automated, coordinated problem solvers for specific applications), and a third, hybrid approach that is useful in analyzing and developing mixed collections of machines and human agents working together. The editors introduce the volume with an important survey of the motivations, research, and results of work in DAI. This historical and conceptual overview combines with chapter introductions to guide the reader through this fascinating field. A unique and extensive bibliography is also provided.
Author: Stuart E. Johnson
Publisher: Rand Corporation
ISBN: 0833034103
Category : Political Science
Languages : en
Pages : 415
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Book Description
It is still easy to underestimate how much the collapse of the Soviet Union and the end of the Cold War?--and then the terrorist attacks of September 11, 2001?--transformed the task of American foreign and defense policymaking. In place of predictability (if a sometimes terrifying predictability), the world is now very unpredictable. In place of a single overriding threat and benchmark by which all else could be measured, a number of possible threats have arisen, not all of them states. In place of force-on-force engagements, U.S. defense planners have to assume "asymmetric" threats?--ways not to defeat U.S. power but to render it irrelevant. This book frames the challenges for defense policy that the transformed world engenders, and it sketches new tools for dealing with those challenges?--from new techniques in modeling and gaming, to planning based on capabilities rather than threats, to personnel planning and making use of "best practices" from the private sector.
Author: Celestine A. Ntuen
Publisher: Springer Science & Business Media
ISBN: 146131447X
Category : Computers
Languages : en
Pages : 414
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Book Description
Human-System interaction has been and will continue to be of interest to many researchers of various disciplines: engineers, computer scientists, psychologists, and social scientists. The research in Human-System Interaction (HSI) has progressed from the era of using anthropomorphic data to design workspace to the current period which utilizes human and artificial sensors to design sensory-based cooperative workspace. In either of these developments, HSI has been known to be complex. In 1994, we initiated a series of symposiums on Human Interaction with Complex Systems. It was then that various ideas surrounding HSI for today and tomorrow were discussed by many scientists in the related disciplines. As a follow-up, in 1995 the Second Symposium was organized. The objective of this symposium was to attempt to defme a framework, principles, and theories for HSI research. This book is the result of that symposium. The 1995 symposium brought together a number of experts in the area of HSI. The symposium was more focused on expert opinions and testimonies than traditional meetings for technical papers. There were three reasons for that approach.
Author: Michael T. Cox
Publisher: MIT Press
ISBN: 0262014807
Category : Computers
Languages : en
Pages : 349
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Book Description
Experts report on the latest artificial intelligence research concerning reasoning about reasoning itself.
Author: Paul A. Fishwick
Publisher: Springer Science & Business Media
ISBN: 1461230403
Category : Computers
Languages : en
Pages : 310
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Book Description
Knowledge-Based Simulation: Methodology and Application represents a recent compilation of research material that reviews fundamental concepts of simulation methodology and knowledge-based simulation applications. Knowledge-based simulation represents a new and exciting bridge area linking the fields of computer simulation and artificial intelligence. This book will appeal to both theorists and practitioners who require simulation to solve complex problems. A primary attraction of the book is its emphasis on both methodology and applications. In this way, the reader can explore new methods for encoding knowledge-inten- sive information into a simulation model, and new applications that utilize these methods.
