Regis Vincent, Bryan Horling, Tom Wagner, and Victor Lesser. Survivability Simulator for Multi-Agent Adaptive Coordination. Computer Science Department. University of Massachusetts. 1998. http://dis.cs.umass.edu/~vincent/wmc98 /article.html  Home/Search   Document Details and Download   Summary   Related Articles   Check

....parallelism inherent in agent based systems. However work to date has tended to employ various ad hoc approaches to parallel simulation, e.g. distributing the agents over a network of processors interacting via some communication protocol, and has often yielded relatively poor performance [11] [12]. These limitations have led researchers to explore the application of distributed simulation techniques to agent based systems. For example, the JAMES system uses the parallel DEVS framework to model mobile, deliberative agents [13] 14] What is required is a general, distributed simulation ....

....small part of its environment. The degree of access is dependent on the range of 2 Existing attempts to build distributed simulations of agent based systems have often adopted such a centralised approach in which the agents environment forms part of a central time driven simulation engine [11] [12], 5] PROCEEDINGS OF THE IEEE SPECIAL ISSUE ON AGENT ORIENTED SOFTWARE APPROACHES IN DISTRIBUTED MODELLING AND SIMULATION 3 the agent s sensors (read access) and the actions it can perform (write access) However, in many cases, an agent can effectively change the topology of the environment, ....

R. Vincent, B. Horling, T. Wagner, and V. Lesser, "Survivability simulator for multi-agent adaptive coordination," in Proceedings of the International Conference on Web-Based Modeling and Simulation 1998 (WMC'98), 1998.

....needs of an activity is outside the scope of the resource modeling capability, as is prescribing specific protocols about when resources should be reserved, acquired, and released. We have successfully integrated the resource manager into Little JIL [9] a process definition language, and MAS [15], a multi agent scheduling system. In this paper, we describe the resource modeling formalism. We also describe a resource management system that makes effective use of resource models built with the formalism. We also describe and evaluate some experiences we have had in applying the resource ....

....When all the available resources have been allocated, a newly instantiated step s request for resources will be denied, an exception will be thrown, and no more parallel instantiations will be created. The other resource sensitive system that was used to evaluate the resource manager is MAS [15], a multiagent planning system. The resource manager was used in an application of MAS to the task of housekeeping. Although the MAS computational model is significantly different from that of Little JIL, the resource manager was still found to be useful. The experiment with MAS extensively used ....

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R. Vincent, B. Horling, T. Wagner, and V. Lesser. Survivability Simulator for Multi-Agent Adaptive Coordination. Proceedings of International Conference on Web-Based Modeling and Simulation, 30(1):114--119, 1998.

....in agent based systems. However work to date has tended to employ various adhoc approaches to parallel simulation, e.g. distributing the agents over a network of processors interacting via some communication protocol, and has often yielded relatively poor performance (Baxter Hepplewhite 1996, Vincent, Horling, Wagner Lesser 1998). These limitations have led several researchers to explore the application of distributed simulation techniques to agent based systems. For example, the JAMES system uses the parallel DEVS framework to model mobile, deliberative agents (Uhrmacher, Tyschler Tyschler 1998) In this paper, we ....

.... variables the agents can in fact access update depends both 2 The few existing attempts to built distributed simulations of agent based systems adopt such a centralised approach in which the agents environment forms part of a central time driven simulation engine (Baxter Hepplewhite 1996, Vincent et al. 1998). on the state of the agents (e.g. their position) and the state of the rest of the environment. However, the information required to determine the set of variables which will be affected is itself distributed. The resulting all toall communication of the shared state variables is extremely ....

Vincent, R., Horling, B., Wagner, T. & Lesser, V. (1998), Survivability simulator for multi-agent adaptive coordination, in `Proceedings of the International Conference on Web-Based Modeling and Simulation 1998 (WMC'98)'.

....Other processes might provide other mechanisms for doing this binding, such as having a human manager specify all class designer assignments. 3. 2 Integration with a Multi Agent Planning System The second resource sensitive system that was used to evaluate the resource manager is MASS [14], a multi agent planning system. The resource manager was used in an application of MASS to the task of housekeeping. Although the MASS computational model is significantly different from that of Little JIL, the resource manager was still found to be useful. In MASS, as in Little JIL, a process is ....

R. Vincent, B. Horling, T. Wagner, and V. Lesser. Survivability Simulator for Multi-Agent Adaptive Coordination. Proceedings of International Conference on Web-Based Modeling and Simulation, 30(1):114--119, 1998.

....agent sensor network for vehicle tracking [11, 14] Like Decker s DECAF [5] the goal of JAF is to provide the framework that integrates the different control components and supports their interaction. Another related component used in both IHome and ANTS is the multiagent system simulator [24] that enables different JAF agents to execute TMS primitive actions in a controlled environment. 1 In this paper we focus on TMS, the Design to Criteria scheduler, and the Java Agent Framework and the experiences we have gained from working with these technologies. The rationale for this ....

....p y z x ; v r.v r ;r . 3 [0 3 . 0 3 . 3 [0 . # ( #) 10 243 576#8 9 : # 4 A B C =ED F G1H I4J K L M NPO Q R S#T4U V W#X S R Y Z [ #a b#c d e Figure 2: Simplified Subset of an Information Gathering Task Structure terms of their expected quality, cost, and duration. The enables arc between Get Basic and Gather is a non local effect ....

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Regis Vincent, Bryan Horling, Tom Wagner, and Victor Lesser. Survivability simulator for multi-agent adaptive coordination. In International Conference on Web-Based Modeling and Simulation, San Diego, CA, 1998. SCS (eds).

....in an existing agent will be discussed in detail, and hypothetical new components will be described. Future improvements and additions will be covered in the conclusion. 2 Motivation The motivation for the agent framework began with the creation of the Multi Agent Survivability Simulator (Mass) [9]. Mass is a flexible execution environment which we designed to simulate the possible faulty or hostile conditions under which an agent might function. By accurately simulating these conditions, we can then create and test effective algorithms to deal with adverse situations, the end result of ....

Regis Vincent, Bryan Horling, Tom Wagner, and Victor Lesser. Survivability simulator for multi-agent adaptive coordination. In International Conference on Web-Based Modeling and Simulation, San Diego, CA, 1998. SCS (eds).

....problem solving processes. TMS models are used in multi agent coordination research [11, 38] and are being used in many other research projects, including: Cooperative InformationGathering [27, 25] collaborative distributed design [12] distributed situation assessment [6] surviveable systems [35], multi agent diagnoses [3] intelligent environments [24] hospital patient scheduling [10] and coordination of software process [22] Typically a problem solver represents domain problem solving actions in TMS, possibly at some level of abstraction, and then passes the TMS models on to agent ....

R. Vincent, B. Horling, T. Wagner, and V. Lesser. Survivability simulator for multi-agent adaptive coordination. In Proceedings of the First International Conference on Web-Based Modeling and Simulation, 1998.

....Following this, each of the components in an existing agent will be discussed in detail, and new components will be described. Future improvements and additions will also be covered. 2 Motivation The motivation for JAF began with the creation of the Multi Agent Survivability Simulator (Mass) [14]. Mass is a flexible execution environment which we designed to simulate the possible faulty or hostile conditions under which an agent might function. By accurately simulating these conditions, we can then create and test effective algorithms to deal with adverse situations, the end result of ....

Regis Vincent, Bryan Horling, Tom Wagner, and Victor Lesser. Survivability simulator for multi-agent adaptive coordination. In International Conference on Web-Based Modeling and Simulation, San Diego, CA, 1998. SCS (eds).

....processes. TMS models are used in multi agent coordination research [24, 11] and are being used in many other research projects, including: cooperative informationgathering [14] hospital patient scheduling [5] intelligent environments [13] coordination of software process [12] and others [20]. Typically, in our domain independent agent architecture, a domain specific problem solver or planner translates its problem solving options in TMS, possibly at some level of abstraction, and then passes the TMS models on to agent control problem solvers like the multi agent coordination modules ....

Regis Vincent, Bryan Horling, Thomas Wagner, and Victor Lesser. Survivability simulator for multi-agent adaptive coordination. In Proc. of the 1st Intl. Conf. on Web-Based Modeling and Simulation, 1998.

.... TMS models are used in multi agent coordination research [24, 11] and are being used in many other research projects, including: cooperative information gathering [14, 15] collaborative distributed design [6] intelligent environments [13] coordination of software process [12] and others [21, 4]. Typically, in our domain independent agent architecture, a domain specific problem solver or planner translates its problem solving options in TMS, possibly at some level of abstraction, and then passes the TMS models on to agent control problem solvers like the multi agent coordination modules ....

Regis Vincent, Bryan Horling, Thomas Wagner, and Victor Lesser. Survivability simulator for multi-agent adaptive coordination. In Proceedings of the First International Conference on Web-Based Modeling and Simulation, 1998.

.... and medium of exchange for Design to Criteria [9, 10] and Design to Time [4] scheduling, and and multi agent [2] coordination research, and are being used in CooperativeInformation Gathering [5] collaborative distributed design [3] distributed situation assessment [1] and surviveable systems [8] research projects. A simplified example of a T MS task structure for gathering auto purchase information via the Web is shown in Figure 1. The oval nodes are tasks and the square nodes are methods. The top level task is to Gather Purchase Dataon Nissan Maxima and it has two subtasks ....

Regis Vincent, Bryan Horling, Thomas Wagner, and Victor Lesser. Survivability simulator for multi-agent adaptive coordination. In Proceedings of the First International Conference on Web-Based Modeling and Simulation, 1998. To appear.

.... of exchange for Design to Time [11, 12] and Design to Criteria scheduling [22, 23] and multi agent [3] coordination research, and are being used in Cooperative Information Gathering [19, 7, 16] collaborative distributed design [6] distributed situation assessment [1] and surviveable systems [21] funded research projects. TAEMS diverges from traditional hierarchical representations in that different alternatives for achieving a task are expressed explicitly and reasoning about trade offs is a first class activity. The overall objective when working in TAEMS is to achieve quality for the ....

Regis Vincent, Bryan Horling, Thomas Wagner, and Victor Lesser. Survivability simulator for multi-agent adaptive coordination. In Proceedings of the First International Conference on Web-Based Modeling and Simulation, 1998. To appear.

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Regis Vincent, Bryan Horling, Tom Wagner, and Victor Lesser. Survivability Simulator for Multi-Agent Adaptive Coordination. Computer Science Department. University of Massachusetts. 1998. http://dis.cs.umass.edu/~vincent/wmc98 /article.html

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