Lesser, Victor R. and Corkill, Daniel D.; 1983. The distributed vehicle monitoring testbed: A tool for investigating distributed problem solving networks. AI Magazine 4(3):15--33.  Home/Search   Document Not in Database   Summary   Related Articles   Check

.... negotiation protocol that has been used extensively is the contract net protocol [15] 33] other negotiation schemes are described in [18] 21] 32] 39] However, although DAI work has demonstrated success with this approach in a number of domains (e.g. distributed vehicle monitoring [23] and distributed air traffic control [10] the proposed solutions have not been adequately demonstrated in situated agent (i.e. robotic) teams, which have to live in, and react to, dynamic and uncertain environments amidst noisy sensors and effectors, frequent agent failures, and a limited ....

Victor R. Lesser and Daniel D. Corkill. The distributed vehicle monitoring testbed: A tool for investigating distributed problem solving networks. AI Magazine, pages 15-33, Fall 1983.

....DAI systems with strong user interaction features are provided. 3.1 GEOGRAPHICALLY DISTRIBUTED SYSTEMS A traditional area of DAI applications relaters to geographically disu ibuted problems or distributed sensory networks. Examples of applications of this area are the vehicle monitoring domain [30], air traffic control [9] various distributed sensor interpretation systems, the distributed storm forecasting system [21] etc. A common characteristic of these systems at real life scale, especially when wide range geographical distribution is involved and multiple interaction points, is that ....

Lesser V. R., Corkill D. D. (1983), "The Distributed Vehicle Monitoring Testbed: A Tool For Investigating Distributed Problem Solving Networks", The AI Magazine, Fall83: 15-33.

....to solve problems in which individual decision makers with localized information are able to a#ect their local state in the hopes that the system will eventually reach a global state of either optimal or at least satisfactory utility. Classic example scenarios include distributed sensor monitoring [2], distributed task allocation [5] and coalition formation [6] In these problems, each agent perceives some part of the global state and takes # This work was funded by the NSF under grant 0092593. USC CSCE TR 2002 012. A shorter version appears in Proceedings of the First Autonomous Agents and ....

L. Conway, V. R. Lesser, and D. G. Corkill. The distributed vehicle monitoring testbed: A tool for investigating distributed problem solving networks. AI Magazine, 4(3):15--33, 1983.

....agent may be influenced by another to adopt a mental attitude whenever the latter has the power to guide the behaviour of the former [7] b) Helping disposition. An agent may be influenced by another to adopt a mental attitude simply because it intends to contribute to the welfare of the latter [53]. c) Trust. An agent may be influenced by another to adopt a mental attitude merely on the strength of its confidence in the latter [41] d) Persuasion. An agent may be influenced to adopt another agent s mental attitude via a process of bargaining, argumentation or negotiation [44, 52] ....

V. R. Lesser and D. D. Corkill. The distributed vehicle monitoring testbed: A tool for investigating distributed problem solving networks. In AI Magazine, 4(3), 15--33, 1983.

....An agent may be influenced by another to adopt a mental attitude whenever the latter has the power to guide the behaviour of the former [7] Helping disposition. An agent may be influenced by another to adopt a mental attitude simply because it intends to contribute to the welfare of the latter [53]. Trust. An agent may be influenced by another to adopt a mental attitude merely on the strength of its confidence in the latter [41 ] Exchange. An agent may be influenced to adopt another agent s mental state via a process of bargaining or negotiation [44] Persuasion. An agent may be ....

V.R. Lesser and D. D. Corkill. The distributed vehicle monitoring testbed: A tool for investigating distributed problem solving networks. In AIMagazine 4(3): 15-33, 1983.

.... Blackboard Architecture The use of blackboard architectures as a vehicle for integrating multiple sources of knowledge to solve complex problems has been demonstrated in a variety of application domains (e.g. speech understanding [Erman et al. 1980] signal interpretation [Nii et al. 1982, Lesser and Corkill, 1983] planning [Hayes Roth et al. 1979, Currie and Tate, 1991] scheduling [Smith, 1994, Hildum, 1994] as well as some concurrent engineering applications [Prasad, 1997] Blackboard architectures emphasize modular encapsulation of problem solving knowledge within independent knowledge sources. ....

V.R. Lesser and D.D. Corkill. The distributed vehicle monitoring testbed: A tool for investigating distributed problem solving networks. AI Magazine, 4(3):15--33, Fall 1983.

....[29] and by Lesser and Corkill Cost, in this context, is the processing time taken to produce the result and is measured in seconds. Time was chosen because it dominates communication overheads as the main resource consumed in this domain. for the task of vehicle monitoring, DMVT [9] [30]. In both of these applications, the presence of overlapping, redundant sensing data forced a decomposition in which the subproblem solution phase and the synthesis phase required consistency. When coupled with the fact that the knowledge for interpreting the sensed data in each agent was ....

V. R. Lesser and D. D. Corkill, "The distributed vehicle monitoring testbed: A tool for integrating distributed problem solving networks," AI Mag., pp. 15--33, Fall 1983.

....agent may be influenced by another to adopt a mental attitude whenever the latter has the power to guide the behaviour of the former [7] b) Helping disposition. An agent may be influenced by another to adopt a mental attitude simply because it intends to contribute to the welfare of the latter [53]. c) Trust. An agent may be influenced by another to adopt a mental attitude merely on the strength of its confidence in the latter [41] Social mental shaping could be formalized also in terms of preferences. That is, an agent might be influenced either by roles or by social relationships to ....

V. R. Lesser and D. D. Corkill. The distributed vehicle monitoring testbed: A tool for investigating distributed problem solving networks. In AI Magazine, 4(3), 15--33, 1983.

....agent then selects an agent from those that respond and awards the task to the winning agent, who then goes on to perform that task, recruiting yet other agents to help if required. However, although DAI work has demonstrated success in a number of domains (e.g. distributed vehicle monitoring [21] and distributed air trac control [7] the proposed solutions have rarely been demonstrated as directly applicable to situated agent (i.e. robotic) teams, which have to live in, and react to, a dynamic and uncertain environment using noisy sensors and e ectors, and a limited bandwidth, noisy ....

Victor R. Lesser and Daniel D. Corkill. The distributed vehicle monitoring testbed: A tool for investigating distributed problem solving networks. AI Magazine, pages 15-33, Fall 1983.

....disposition. An agent may be influenced by another to adopt a mental attitude simply because it intends to contribute to the welfare of the latter. An example of this is the assumption of benevolence that is 12 present in many of the early distributed problem solving systems (Erman et al. 1980; Lesser and Corkhill 1983). Trust. An agent may be influenced by another to adopt a mental attitude merely on the strength of its confidence in the latter, without any critical scrutiny or any review of the evidential basis (Griffiths and Luck 1999; Marsh 1994) Persuasion. An agent may be influenced to adopt another ....

V. R. Lesser and D. D. Corkill. (1983). The distributed vehicle monitoring testbed: A tool for investigating distributed problem solving networks. AI Magazine , 4(3):15-33.

....systems. A Distributed CSP can be considered a CSP in which variables and constraints are distributed among multiple agents and the agents are required to satisfy all constraints by communicating with each other. Many problems in multi agent systems, such as distributed interpretation problems[9], distributed resource allocation problems[3] distributed scheduling problems[11] and multi agent truth maintenance systems[7] can be formalized as Distributed CSPs. On the other hand, when a problem designer tries to describe a real life problem as a CSP, the resulting CSP is often ....

....a minimal distance between P and P 0 , and the minimal distance is called an optimal distance. 4 Distributed Partial Constraint Satisfaction Problem 4.1 Motivation It is likely that various application problems in multi agent systems are overconstrained. In a distributed interpretation problem[9], each agent is assigned the task to interpret a part of the sensor data, produce possible interpretations, and help build a globally consistent interpretation through communicating possible interpretations among all of the agents. If an agent makes incorrect interpretations because of errors in ....

V. R. Lesser and D. D. Corkill. The distributed vehicle monitoring testbed: A tool for investigating distributed problem solving networks. AI Magazine,Vol. 4, No. 3, pp. 15--33, 1983.

....results for anytime characteristics. 1. Introduction In multi agent systems (MAS) we sometimes face a problem where multiple agents have to find a consistent combination of actions under some constraints about taking their actions. Such a problem includes the distributed interpretation problem [6], the distributed resource allocation problem [2] the distributed scheduling problem [9] and the problem in multi agent truth maintenance tasks [5] These problems are naturally described as a distributed constraint satisfaction problem (distributed CSP) 12, 13] A distributed CSP is a ....

V. R. Lesser and D. D. Corkill. The distributed vehicle monitoring testbed: A tool for investigating distributed problem solving networks. AI Magazine, 4(3):15--33, 1983.

....disposition. An agent may be influenced by another to adopt a mental attitude simply because it intends to contribute to the welfare of the latter. An example of this is the assumption of benevolence that is present in many of the early distributed problem solving systems (Erman et al. 1980; Lesser and Corkhill 1983). Trust. An agent may be influenced by another to adopt a mental attitude merely on the strength of its confidence in the latter, without any critical scrutiny or any review of the evidential basis (Griffiths and Luck 1999; Marsh 1994) Persuasion. An agent may be influenced to adopt ....

V. R. Lesser and D. D. Corkill. (1983). The distributed vehicle monitoring testbed: A tool for investigating distributed problem solving networks. AI Magazine, 4(3):15-33.

....we explore a way that allows the detection of inconsistencies in the organization of a MAS. 1 Introduction At the beginning of Distributed Artificial Intelligence (DAI) the research projects were mainly focused on the design of architecture of agents with sophisticated reasoning capabilities [9, 18]. Recently, the focus has moved onto the social aspects of knowledge and action [13, 4, 1] Research is now directed toward the definition of social mechanisms that install cooperative modes in the system, in particular the agents organization (structural aspect of a cooperative collection of ....

Corkill, D.D., Lesser, V.R. : The Distributed Vehicle Monitoring Testbed : a tool for investigating Distributed Problem Solving Network, In AI Magazine, 3(4) (Fall 1983) 15--33.

....results for anytime characteristics. 1. Introduction In multi agent systems (MAS) we sometimes face a problem where multiple agents have to find a consistent combination of actions under some constraints about taking their actions. Such a problem includes the distributed interpretation problem [6], the distributed resource allocation problem [2] the distributed scheduling problem [9] and the problem in multi agent truth maintenance tasks [5] These problems are naturally described as distributed constraint satisfaction problems (distributed CSPs) 12, 13] A distributed CSP is a ....

V. R. Lesser and D. D. Corkill. The distributed vehicle monitoring testbed: A tool for investigating distributed problem solving networks. AI Magazine, 4(3):15--33, 1983.

....VAs and robots through navigation tasks. With the experimental result of robot navigation, we have confirmed that the DVS can robustly navigate mobile robots in a complex world. In distributed artificial intelligence, several fundamental works suchasDis tributed Vehicle Monitoring Testbed (DVMT) [4] and Partial Global Planning (PGP) 5] dealing with systems using multiple sensors have been reported. In these systems, which are based on the blackboard model [6] agents symbolize sensory information with a common representation, and gradually proceed with their recognition by exchanging them. ....

V. R. Lesser and D. D. Corkill, "The distributed vehicle monitoring testbed: A tool for investigating distributed problem solving networks," AI Magazine, pp. 15--33, 1983.

....of X. The test states that if X is an agent type, each instance should behave differently in the presence of the other instance than when it is alone. If it doesn t behave any differently, then X is not an agent. The agent test would pass the Distributed Vehicle Monitoring Testbed (DVMT) [Lesser Corkill, 1983] and distributed sensor net agents, pass the agents in WARREN [Decker et al. 1997] fail mail daemons, fail spreadsheets (and other software programs that just act on behalf of a user, which is a common definition for an agent) and fail simple Java applets. The test is independent of the ....

...., fail mail daemons, fail spreadsheets (and other software programs that just act on behalf of a user, which is a common definition for an agent) and fail simple Java applets. The test is independent of the mobility of the agents. For example, the distributed Vehicle Monitoring Testbed (DVMT) [Lesser Corkill, 1983] is a system of agents that sense their environment for the presence of moving vehicles. After detecting the possible presence of a vehicle, the agents communicate with each other to resolve ambiguities, refine their estimates of vehicle locations, and eliminate ghost vehicles. When a suspected ....

Lesser, Victor R. and Corkill, Daniel D.; 1983. The distributed vehicle monitoring testbed: A tool for investigating distributed problem solving networks. AI Magazine 4(3):15--33.

....state. Helping disposition. An agent may be in uenced to adopt an acquaintance s mental attitude simply because it intends to contribute to the welfare of the latter. An example of this is the assumption of benevolence that is present in many of the early distributed problem solving systems [14, 27]. Trust. An agent may be in uenced by an acquaintance to adopt a mental attitude without any critical scrutiny or any review of the evidential basis, merely on the strength of its con dence in that agent [20, 28] Exchange. An agent may be in uenced to adopt another agent s mental state via ....

V. R. Lesser and D. D. Corkill. The distributed vehicle monitoring testbed: A tool for investigating distributed problem solving networks. AI Magazine, 4(3):15-33, 1983.

....page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and or a fee. Copyright 2000 ACM 0 89791 88 6 97 05 . 5. 00 tributed resource allocation has been a problem studied extensively in the MAS community since its infancy [5] 6][4]. To our knowledge, this work has been done in simulation, and not dealt with real time issues of coordination and recon gurable sensors, so that they are focused appropriately to track the desired object. This paper describes our work on a distributed vehicle monitoring application involving ....

V. Lesser and D. Corkill. The distributed vehicle monitoring testbed: A tool for investigating distributed problem solving networks. AI Magazine, 4(3):15-33, 1983.

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Lesser, Victor R. and Corkill, Daniel D.; 1983. The distributed vehicle monitoring testbed: A tool for investigating distributed problem solving networks. AI Magazine 4(3):15--33.

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V. Lesser and D. Corkill. The distributed vehicle monitoring testbed: A tool for investigating distributed problem solving networks. AI Magazine, 4(3), 1983.

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Lesser, Victor R. and Corkill, Daniel D.; 1983. The distributed vehicle monitoring testbed: A tool for investigating distributed problem solving networks. AI Magazine 4(3):15--33.

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Victor R. Lesser and Daniel D. Corkill. The distributed vehicle monitoring testbed: A tool for investigating distributed problem solving networks. AI Magazine, 4(3):15--33, Fall 1983.

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V.R. Lesser and D.D. Corkill, \The distributed vehicle monitoring testbed: a tool for investigating distributed problem solving networks", AI Magazine 4(3) (1983) 15-33.

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V.R. Lesser and D.D. Corkill, "The distributed vehicle monitoring testbed: a tool for investigating distributed problem solving networks", AI Magazine 4(3) (1983) 15-33.

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