Australian and New Zealand Journal of Criminology, 1984
Through the rapid modern growth of private security as a form of “internal”policing, and the pref... more Through the rapid modern growth of private security as a form of “internal”policing, and the preference of many large organizations for handling problems“internally” which might previously have been dealt with through the publiccriminal justice system, both the content and quality of “ustice” in Westernsocieties is being radically transformed. Corporate justice is beginning to supersedestate justice as the preferred means of
In this paper, mechanisms in human learning are incorporated into the reinforcement learning to i... more In this paper, mechanisms in human learning are incorporated into the reinforcement learning to improve the learning efficiency. A new learning method is presented based on the spatial and temporal association of states, which is inspired by the analogy and recall in human learning. The fuzzy state is proposed to represent the spatial association of states in the state space.
This paper outlines the goals and work accomplished thus far for both the man-machine interface a... more This paper outlines the goals and work accomplished thus far for both the man-machine interface and mission planning elements of the experimental unmanned vehicle program. It is the gaol of the XUV program to make available to the user an interface and tools that will allow for seamless transition between mission planning, rehearsal, and execution on multiple collaborating autonomous vehicles in a platoon group.
In manufacturing environment, an automated guided vehicle (AGV) system is composed of a set of dr... more In manufacturing environment, an automated guided vehicle (AGV) system is composed of a set of driver-less vehicles that transport goods and materials between distinct workstations and storage locations of shops. In soft computing area, ant algorithms are a series of population-based approaches inspired by various behaviors of real ant colonies. During the last two decades, ant algorithms have achieved a great success in solving many combinatorial optimization problems. In this article we make an attempt to study the feasibility of applying ant algorithms to different problems encountered in AGV system design and control. By making use of ant algorithms' strengths, we hope to provide the readers with alternative options for solving conventional AGV system design and control problems, as well as to point out some new directions for AGV system research.
In this paper we consider an alternative approach to the problem of infusing local shop floor con... more In this paper we consider an alternative approach to the problem of infusing local shop floor control decisions with more global performance information. The approach proposed is that of using artificial ant colonies to decentralize and autonomize the shop floor routing. The proposed ant stigmergy shop floor control (ASSFC) has two functional levels: a virtual shop floor level in which ant agents explore optimal processing route stochastically, and a physical shop floor in which intelligent work pieces (IWPs) deterministically exploit the best paths that have been detected by their corresponding ant agents on virtual shop floor. The simple indirect communication and the robust adaptability to disturbances make the ASSFC more suitable for intelligent product oriented manufacturing system than tradition shop floor control.
Australian and New Zealand Journal of Criminology, 1984
Through the rapid modern growth of private security as a form of “internal”policing, and the pref... more Through the rapid modern growth of private security as a form of “internal”policing, and the preference of many large organizations for handling problems“internally” which might previously have been dealt with through the publiccriminal justice system, both the content and quality of “ustice” in Westernsocieties is being radically transformed. Corporate justice is beginning to supersedestate justice as the preferred means of
In this paper, mechanisms in human learning are incorporated into the reinforcement learning to i... more In this paper, mechanisms in human learning are incorporated into the reinforcement learning to improve the learning efficiency. A new learning method is presented based on the spatial and temporal association of states, which is inspired by the analogy and recall in human learning. The fuzzy state is proposed to represent the spatial association of states in the state space.
This paper outlines the goals and work accomplished thus far for both the man-machine interface a... more This paper outlines the goals and work accomplished thus far for both the man-machine interface and mission planning elements of the experimental unmanned vehicle program. It is the gaol of the XUV program to make available to the user an interface and tools that will allow for seamless transition between mission planning, rehearsal, and execution on multiple collaborating autonomous vehicles in a platoon group.
In manufacturing environment, an automated guided vehicle (AGV) system is composed of a set of dr... more In manufacturing environment, an automated guided vehicle (AGV) system is composed of a set of driver-less vehicles that transport goods and materials between distinct workstations and storage locations of shops. In soft computing area, ant algorithms are a series of population-based approaches inspired by various behaviors of real ant colonies. During the last two decades, ant algorithms have achieved a great success in solving many combinatorial optimization problems. In this article we make an attempt to study the feasibility of applying ant algorithms to different problems encountered in AGV system design and control. By making use of ant algorithms' strengths, we hope to provide the readers with alternative options for solving conventional AGV system design and control problems, as well as to point out some new directions for AGV system research.
In this paper we consider an alternative approach to the problem of infusing local shop floor con... more In this paper we consider an alternative approach to the problem of infusing local shop floor control decisions with more global performance information. The approach proposed is that of using artificial ant colonies to decentralize and autonomize the shop floor routing. The proposed ant stigmergy shop floor control (ASSFC) has two functional levels: a virtual shop floor level in which ant agents explore optimal processing route stochastically, and a physical shop floor in which intelligent work pieces (IWPs) deterministically exploit the best paths that have been detected by their corresponding ant agents on virtual shop floor. The simple indirect communication and the robust adaptability to disturbances make the ASSFC more suitable for intelligent product oriented manufacturing system than tradition shop floor control.
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