D. Corkill and V. Lesser. The use of meta-level control for coordination in a distributed problem solving network. In 8th International Joint Conference on Artificial Intelligence, pages 748--756, August 1983.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....substantial. Thus, the distribution in fine grained applications is at the statement level as opposed to task level distribution. 13. Parallel Distributed Processing Systems Decentralized, fine grained systems with tight coupling are oien referred to as parallel distributed processing systems [26, 9, 6, 21]. The processing aspect emphasizes concurrent execution of functionally decomposable tasks. The objective in parallel distributed processing systems is usually load balancing of shared informational and physical resources. In distributed processing systems, the computational or syntactic ....

Corkill, D.D., and Lesser, V.R. The Use of Meta-Level Control for Coordination in a Distributed Problem Solving Network. In Proceedings of the International Joint Conference on Artificial Intelligence, pages 748-755. Morgan Kaufmann Publishers, Inc., 95 First Street, Los Als, CA 94022, 1983.

....for organisational participants, who are expected to bring those into action depending on the task and environmental demands. Early work in DAI identified the advantages of organisational structuring as one of the main issues in order to cope with the complexity of designing DAI systems [6, 11, 3, 15]. However, DAI research, and MAS research in particular, have traditionally kept an individualistic character, and have focused on the principled construction of individual agents following an agent centered view. Nonetheless, recently there is a growing interest in incorporating organisational ....

Daniel David Corkill and Victor Lesser. The use of meta-level control for coordination in a distributed problem solving network. In Alan H. Bond and Les Gasser, editors, Proceedings of the Eighth International Joint Conference on Artificial Intelligence, pages 748--756. Karlsruhe, Federal Republic of Germany, Morgan Kaufmann Publishers, August 1983.

....can be very difficult. The development of tools and underlying theories for supporting conflict management in cooperative design has lagged, however, behind the growing needs for such work. While other aspects of cooperative activity have been studied in some depth (e.g. 30] 49] 42] [9]) conflict management has been only lightly explored [21] Work to date has significant limitations; most notably, these systems do not support task level interaction and embody little or no conflict detection and resolution expertise. The work described here represents the fruition of a ....

Corkill, D.D. and Lesser, V.R. The Use Of Meta-Level Control For Coordination In A Distributed Problem Solving Network. IJCAI-83 (August 1983) Pps. 748-756.

....that as main communicative and decision making responsibilities are delegated, conditions for social action (such as mutual beliefs and joint commitments) should be relaxed. Organizations can ensure that the agents meet conditions that are essential to successful problem solving, including [5]: Coverage: any necessary portion of the overall problem must be within the problem solving capabilities of at least one agent; connectivity: agents must interact in a manner that permits the covered activities to be developed and integrated into an overall solution, and; capability: coverage and ....

D.D. Corkill and V.R. Lesser. The use of meta-level control for coordination in a distributed problem solving network. In Proc. IJCAI-83, pages 748--756, 1983.

....the hierarchical structure will provide the coordination mechanisms for the agents to work as a team. In particular, the agents will interact through vertical communication from superior to subordinate agent, and vice versa. Therefore, apart from ensuring coverage, connectivity, and capability [7], coordination and communication costs are reduced as horizontal communication (communication among agents at the same level of the hierarchy) is avoided and vertical communication is restricted to comply with the principles of relevance, timeliness, and completeness [9] It is worth noticing that ....

D.D. Corkill and V.R. Lesser. The use of meta-level control for coordination in a distributed problem solving network. In Proc. IJCAI-83, pages 748--756, 1983.

....and arbitration strategies can be found in [11, 12] In situations where agents still fail to agree after initial negotiation methods, the arbitrator determines the final solution given the input from both agents as to the importance of each agent s issue. This is a form of meta level control[13] in that the final decision is based on an a priori policy of acceptance specific to the given domain of construction. If the agents proposals do not converge after six iterations (considered adequate given the evaluation process) the arbitrator stops the evaluation and returns control to the ....

Daniel D. Corkill and Victor R. Lesser. The use of meta-level control for coordination in a distributed problem solving network. In Proceedings of the 8th International Joint Conference on Artificial Intelligence, pages 748--756. IJCAI, IJCAI, 1983. 5

....plan. This would not be the case if the company commander had initially planned at the lowest level of detail. However, if there is a significant deviation from the expected situation, then the high level plan has to be revised (see also Section 5) Coverage, connectivity, and capability [Corkill Lesser, 1983] are ensured. Negative interactions are avoided by distributing organisational responsibilities among different commanders in different areas of the map and keeping the units as independent as possible. Coordination and communication costs are reduced as horizontal communication (communication ....

Corkill, D.D. & Lesser, V.R. (1983). The use of meta-level control for coordination in a distributed problem solving network. In Proceedings of IJCAI-93, 748-756.

....that as main communicative and decision making responsibilities are delegated, conditions for social action (such as mutual beliefs and joint commitments) should be relaxed. Organizations can ensure that the agents meet conditions that are essential to successful problem solving, including [5]: Coverage: any necessary portion of the overall problem must be within the problem solving capabilities of at least one agent; connectivity: agents must interact in a manner that permits the covered activities to be developed and integrated into an overall solution, and; capability: coverage and ....

D.D. Corkill and V.R. Lesser. The use of meta-level control for coordination in a distributed problem solving network. In Proc. IJCAI-83, pages 748--756, 1983.

....with a heuristic real time local scheduler and randomly generated abstract task environments. This approach views the coordination mechanism as modulating local control, not supplanting it a two level process that makes a clear distinction between coordination behavior and local scheduling (Corkill Lesser 1983). By concentrating on the creation of local scheduling constraints, we avoid the sequentiality of scheduling in partial global planning that occurs when there are multiple plans. By separating coordination from local scheduling, we can also take advantage of advances in real time scheduling ....

Corkill, D. D. & Lesser, V. R. (1983), The use of meta-level control for coordination in a distributed problem solving network, in `Proceedings of the Eighth International Joint Conference on Artificial Intelligence', Karlsruhe, Germany, pp. 748--755.

....level. Nodes within a group are organized according to a specific structure which depends on the characteristics of the problem and on the status of network at the given time, such as the number of nodes in the group and the load on individual nodes. This structure acts as a meta level control (Corkill and Lesser 1983), determining the flow of control and communication, and the distribution of data and knowledge among the nodes. A good organizational structure makes full use of the capabilities of the relevant nodes. The criteria of efficient and effective operation include that a node should not undo or ....

Corkill, D. D., and Lesser, V. R. (1983). "The use of meta-level control for coordination in a distributed problem solving network." Proc. of the Eighth IJCAI Conf., Karlsruhe, West Germany, 748-756.

....incompatible specifications for a given design component, or one agent has a negative critique of specifications asserted by another agent, we can say that a conflict has occurred. While conflict free cooperation among multiple sources of expertise has been relatively wellstudied (e.g. 49] 42] [8]) cooperation where conflict can occur is less well understood. Existing approaches to conflict resolution in knowledge based systems suffer from the fundamental limitation that the conflict resolution (CR) expertise is represented and reasoned with, if at all, using second class (poorly ....

Corkill, D.D. and Lesser, V.R. The Use Of Meta-Level Control For Coordination In A Distributed Problem Solving Network. IJCAI-83 2(1983) Pps. 748-756.

....The development of tools and underlying theories for supporting conflict management in cooperative design has lagged, however, behind the growing needs for such work. While other aspects of cooperative activity have been studied in some depth (Malone 1983) Thorndyke 1981) Smith 1979) (Corkill 1983) conflict management has been only lightly explored. Work to date has significant limitations; most notably, these systems do not support task level interaction and embody little or no conflict detection and resolution expertise. The work described here represents the fruition of a three stage ....

Corkill, D.D. and Lesser, V.R. (1983) The Use Of Meta-Level Control For Coordination In A Distributed Problem Solving Network. IJCAI-83 , 748-756.

....Blackboards: The DVMT, along with other early MAS applications use the blackboard systems for coordination. Put crudely, a blackboard is simply a shared data structure [40] Agents can use a blackboard to communicate by simply writing on the data structure. Early DVMT work by Lesser and Corkill [30] used two blackboards, one for data and the other for agents goals. In the MINDS project, Huhns et al. also used two specialized blackboards [73] The MINDS project was a distributed information retrieval system, in which agents shared both knowledge and tasks in order to cooperate in retrieving ....

D. D. Corkill and V. R. Lesser. The use of meta-level control for coordination in a distributed problem solving network. In Proceedings of the Eighth International Joint Conference on Artificial Intelligence (IJCAI-83), pages 748--756, Karlsruhe, Germany, 1983.

....organizations, and describes a binary search algorithm for optimizing the solution of the problem. A number of researchers have identified the need to organize networks of agents for problem solving. Fox (1981) studies results from management science to identify efficient agent organizations. Corkill and Lessor (1983) investigate organizational structuring to provide coordination among agents in a network. Ishida (1992) states that to achieve efficient agent organizations, methods are needed for decomposing and distributing goals, and for an agent to merge its goals with others. Durfee and Montgomery (Durfee ....

Corkill, D.D., and Lesser, V.R. (1983). The use of meta-level control for coordination in a distributed problem solving network, Proceedings of the Eighth IJCAI, Karlsruhe, FRG., Morgain-Kaufmann, San Mateo, Calif., pp. 748-756.

.... on intelligence present in any finite artificial system (March and Simon, 1958; Minsky 1985; Simon, 1957) developing sophisticated applications (Jennings and Wittig, 1992; Neches et al. 1991) and providing a more natural representation of distributed problems 1 (eg sensor networks (Lesser and Corkill, 1983), air traffic control (Cammarata et al. 1983) information retrieval (Huhns et al. 1988) and electricity networks (Jennings et al. 1992) Other potential advantages include: reusability of problem solving components by incorporating the same system into several cooperating communities, an ....

....and can assume that all the others will as well. Organisational structures aid the process of coordination by providing a high level view of how the community solves its problems and also by identifying the role of each individual. For example the Distributed Vehicle Monitoring Testbed (Lesser and Corkill, 1983) simulates a spatially organised community of agents which performs a distributed interpretation to track vehicles moving amongst them. Each agent decides which areas of the search space to explore based upon its current local view, but uses organisational knowledge about its problem solving role ....

Corkill, D D and Lesser, V R, 1983. "The use of meta-level control for coordination in distributed problem solving" Proc Int. Joint Conf. on Artificial Intelligence, Karlsruhe, Germany, pp 748-756.

....of others, it can make more informed decisions about what to do locally and how to interact with them. Of course, this in turn means that the agents should abide by their designated roles, so each agent must be able to focus its local decisions toward fulfilling its responsibilities. Corkill and Lesser (1983; Corkill, 1982) for example, developed computational representations for organizations in terms of interest areas for agents. An agent s interest areas would indicate what kinds of data processing tasks it was willing and able to tackle, and to what degree. Faced with a variety of possible ....

Corkill, D. D. and V. R. Lesser (1983), "The use of meta-level control for coordination in a distributed problem solving network," in Proceedings of the Eighth International Joint - 32 - Conference on Artificial Intelligence, pp. 748-56, ed. Alan H. Bond and Les Gasser, Karlsruhe, Federal Republic of Germany.

....communication languages and knowledge sharing mechanisms (e.g. 14, 15] Although Fox [18] pointed out the great importance of organizational adaptation, there has been little research on group adaptation, learning, and auto organization in DAI field. Some of the earliest work in this area are [7, 2, 6, 21]. However, interest in these kind of topics has rapidly been reaching the interest of MAS community. For instance, there has been at least one workshop on these topics this year Adaptation, Co evolution and Learning in Multiagent Systems in the AAAI Spring Symposium Series; and two more ....

D. D. Corkill and V. R. Lesser. The use of meta-level control for coordination in a distributed problem solving network. In The Eighth International Joint Conference on Artificial Intelligence, 1983.

....concrete, meaningful language with which to state correlations, causal explanations, and other forms of theories. The form of a task environment model in our framework is drawn from several sources. First and foremost is our own and others work in the DVMT and similar domain environment simulators [Corkill and Lesser, 1983, Lesser and Corkill, 1983, Durfee and Lesser, 1987, Durfee et al. 1987, Cohen et al. 1989, Decker et al. 1990, Carver et al. 1991, Decker et al. 1991, Decker et al. 1992] It is from this work that the basic model form the execution of interrelated tasks is taken. One possible form ....

....to state correlations, causal explanations, and other forms of theories. The form of a task environment model in our framework is drawn from several sources. First and foremost is our own and others work in the DVMT and similar domain environment simulators [Corkill and Lesser, 1983, Lesser and Corkill, 1983, Durfee and Lesser, 1987, Durfee et al. 1987, Cohen et al. 1989, Decker et al. 1990, Carver et al. 1991, Decker et al. 1991, Decker et al. 1992] It is from this work that the basic model form the execution of interrelated tasks is taken. One possible form might have been to create a ....

[Article contains additional citation context not shown here]

Daniel D. Corkill and Victor R. Lesser. The use of meta-level control for coordination in a distributed problem solving network. In Proceedings of the Eighth International Joint Conference on Artificial Intelligence, pages 748--755, Karlsruhe, Germany, August 1983.

....to include hundreds or thousands of agents, research efforts must move from an agent centric view of coordination and control to an organization centric one. My dissertation was the first research to specifically explore the use of organizational self design and coordination in multi agent systems [1, 2]. Organizational control is a multilevel control approach in which organizational goals, roles, and responsibilities are dynamically developed, distributed, and maintained to serve as guidelines for making detailed local control decisions by the individual agents. In my dissertation work, I ....

Daniel D. Corkill and Victor R. Lesser. The use of meta-level control for coordination in a distributed problem-solving network. In Proceedings of the Eighth International Joint Conference on Artificial Intelligence, pages 748--756, Karlsruhe, Federal Republic of Germany, August 1983.

....feedback is provided to the relevant agents (the feedback process is discussed in detail below) Note that the extension operation need not assemble all the local cases in r at any one physical site. F Organizational knowledge consists of a specification of general node interaction patterns[9] or static meta level information about knowledge case organization in the local databases of the agents. G In general, a locally retrieved subcase is re instantiated in the present context during this operation. Adaptation of the retrieved subcase to the new context could also be performed in ....

D. D. Corkill and V. R. Lesser, "The use of meta-level control for coordination in a distributed problem solving network", in Proceedings of the Eighth International Joint Conference on Artificial Intelligence, pp 748-756, Karlsruhe, FRG, 1983.

....not be used effectively when they are added. In this sense, the organization is a set of assumptions that the system works by. As these assumptions become invalid, the organization must be able to adapt to keep the system viable. The term Organizational Self Design (OSD) has been used previously [2] to describe the general technique of employing the members of a multi agent system to generate or adapt their own organizational structures at runtime. Earlier work in this area tended to focus on adapting specific qualities of the organization, such as task allocation [9] or load balancing [6, ....

....or adapt their own organizational structures at runtime. Earlier work in this area tended to focus on adapting specific qualities of the organization, such as task allocation [9] or load balancing [6, 8] Organizational structure generation has also been proposed as arising from local [6] global [2], and hybrid [11] perspectives. Each of these systems demonstrated specific techniques that worked well and efficiently in their respective environments, but they were not general solutions to the problem. In this paper we propose a more general approach, using diagnosis, to detect deficiencies in ....

Daniel D. Corkill and Victor R. Lesser. The use of meta-level control for coordination in a distributed problem solving network. In Proceedings of the Eighth International Joint Conference on Artificial Intelligence, pages 748--755, Karlsruhe, Germany, August 1983.

....provide a framework in which both the inherent distribution of processing and information in an application and the complexities that come from issues of scale can be handled in a natural way. An example of this next generation application is the WARREN system based on the RETSINA architecture [8], 9] This multiagent system, which can be considered a multiuser, distributed information gathering system, see Fig. 1) assists with the management of financial portfolios. Many of the features of the portfolio management domain are likely to become more common in the future: 1)# An enormous ....

....should not be so strict that an agent does not have sufficient latitude to respond to unexpected circumstances, nor should they be necessarily fixed for the duration of problem solving. Organizational control should be thought of as modulating (circumscribing) local control rather than dictating [8]. Implicit in this discussion are the concepts of commitment and intention. The ability to appropriately bound the intentions of agents, and to create and sufficiently guarantee the commitments of agents to accomplish certain tasks is at the heart of efficient organized behavior. These concepts, ....

# D.D. Corkill and V. Lesser, "The Use of Meta-Level Control for Coordination in a Distributed Problem Solving Network" (long paper), Proc. Eighth Int'l Joint Conf. Artificial Intelligence, pp. 748-- 756, 1983.

.... constraints) and generalizing the partial global planning algorithm itself (GPGP) 6] Our current approach views the coordination mechanism as modulating local control, not supplanting it a two level process that makes a clear distinction between coordination behavior and local scheduling [3]. By concentrating on the creation of local scheduling constraints, we avoid the sequentiality of scheduling in partial global planning that occurs when there are multiple plans. By separating coordination from local scheduling, we can also take advantage of advances in real time scheduling ....

....local scheduling mechanism; to do so, it often kept track of and enforced constraints 3 Note, for example, that we can represent the cases where OE d and or OE q are negative, resulting in negative facilitation . Such a relationship may be useful for modeling the phenomena of distraction [3]. 5 on its own. More sophisticated real time schedulers actually make the coordination task easier by directly interpreting most of the needed coordination behaviors (in the form of scheduling constraints) 4] Scheduling constraints may be hard or soft. Admissibility refers to hard ....

[Article contains additional citation context not shown here]

Daniel D. Corkill and Victor R. Lesser. The use of meta-level control for coordination in a distributed problem solving network. In Proceedings of the Eighth International Joint Conference on Artificial Intelligence, pages 748--755, August 1983.

....not be used effectively when they are added. In this sense, the organization is a set of assumptions that the system works by. As these assumptions become invalid, the organization must be able to adapt to keep the system viable. The term Organizational Self Design (OSD) has been used previously [2] to describe the general technique of employing the members of a multi agent system to generate or adapt their own organizational structures at runtime. Earlier work in this area tended to focus on adapting specific qualities of the organization, such as task allocation [7] or load balancing [5, ....

....or adapt their own organizational structures at runtime. Earlier work in this area tended to focus on adapting specific qualities of the organization, such as task allocation [7] or load balancing [5, 8] Organizational structure generation has also been proposed as arising from local [5] global [2], and hybrid [10] perspectives. Each of these systems demonstrated specific techniques that worked well and efficiently in their respective environments, but they were not general solutions to the problem. In this paper we propose a more general approach, using diagnosis, to detect deficiencies in ....

Daniel D. Corkill and Victor R. Lesser. The use of meta-level control for coordination in a distributed problem solving network. In Proceedings of the Eighth International Joint Conference on Artificial Intelligence, pages 748--755, Karlsruhe, Germany, August 1983.

....provide a framework in which both the inherent distribution of processing and information in an application and the complexities that come from issues of scale can be handled in a natural way. An example of this next generation application is the WARREN system based on the RETSINA architecture [8, 9]. This multiagent system, which can be considered a multi user, distributed information gathering system, see Fig. 1) assists with the management of financial portfolios. Many of the features of the portfolio management domain are likely to become more common in the future: 1) an enormous amount ....

....should not be so strict that an agent does not have sufficient latitude to respond to unexpected circumstances, nor should they be necessarily fixed for the duration of problem solving. Organizational control should be thought of as modulating (circumscribing) local control rather than dictating [8]. Implicit in this discussion are the concepts of commitment and intention. The ability to appropriately bound the intentions of agents, and to create and sufficiently guarantee the commitments of agents to accomplish certain tasks is at the heart of efficient organized behavior. These concepts, ....

D.D. Corkill and V. Lesser, "The Use of Meta-Level Control for Coordination in a Distributed Problem Solving Network" (long paper), Proc. Eighth Int'l Joint Conf. Artificial Intelligence, 1983, pp. 748--756.

.... Man and Cybernetics on Distributed AI [1] The purpose of this retrospective is two fold: first, to elaborate more fully this model based on insights acquired over the last ten years, and second, to provide a coherent perspective on its development and extension since its original description [2, 3, 4, 5, 6, 7]. A major focus will be on explaining why the sophistication of an agent is crucial to the effective implementation of the FA C approach. This sophistication involves the agent s ability to understand the intermediate state of its computation (what it has done, what it has left to do, what type of ....

....between local and cooperative control is difficult to assess. At the other extreme, cooperative control operates outside of and asynchronously with local control mechanisms. Its interface to local control is through the establishment of high level policies that the local control implements [3, 7]. In this case, the local control is clearly distinguishable from the cooperative control, has a certain amount of latitude in its decisions based on local information and may have no direct knowledge of the state of other agents problem solving. Cooperative control also involves the dynamic ....

[Article contains additional citation context not shown here]

Corkill, D.D. and Lesser, V.R. "The Use of Meta-Level Control for Coordination in a Distributed Problem Solving Network," Proceedings of the Eighth International Joint Conference on Artificial Intelligence, August 1983, pp. 748--756, Karlsruhe, FRG.

.... generalizing the partial global planning algorithm itself (GPGP) Decker and Lesser, 1992) Our current approach views the coordination mechanism as modulating local control, not supplanting it a two level process that makes a clear distinction between coordination behavior and local scheduling (Corkill and Lesser, 1983). By concentrating on the creation of local scheduling constraints, we avoid the sequentiality of scheduling in partial global planning that occurs when there are multiple plans. By separating coordination from local scheduling, we can also take advantage of advances in real time scheduling ....

....In such cases, the scheduler often satisfices (searches to a prespecified aspiration 3 Note, for example, that we can represent the cases where OE d and or OE q are negative, resulting in negative facilitation . Such a relationship may be useful for modeling the phenomena of distraction (Corkill and Lesser, 1983). level) rather than optimizes, and the local scheduler can be considered to be (informally) boundedly rational. Instead of assuming that any soft constraint the coordination algorithm adds is always obeyed, the coordination algorithm can instead depend on an event being signaled if the ....

[Article contains additional citation context not shown here]

Corkill, D. D. and Lesser, V. R. (1983). The use of meta-level control for coordination in a distributed problem solving network. In Proceedings of the Eighth International Joint Conference on Artificial Intelligence, pages 748--755.

....is to be communicated, and how that information affects local task scheduling. This approach views the coordination mechanism as modulating local control, not supplanting it a two level distributed search process that makes a clear distinction between coordination behavior and local scheduling[6, 25] (See Section 4 and Figure 3) By concentrating on the creation of local scheduling constraints, we avoid the sequentiality of scheduling in partial global planning that occurs when there are multiple plans. By separating coordination from local scheduling, we can also take advantage of advances ....

Daniel D. Corkill and Victor R. Lesser. The use of meta-level control for coordination in a distributed problem solving network. In Proceedings of the Eighth International Joint Conference on Artificial Intelligence, pages 748--755, August 1983.

....is provided to the relevant agents (the feedback process is discussed in detail below) Note that the extension operation need not assemble all the local cases in Sigma s at any one physical site. 5 Organizational knowledge consists of a specification of general node interaction patterns[9] or static meta level information about knowledge case organization in the local databases of the agents. 6 In general, a locally retrieved subcase is re instantiated in the present context during this operation. Adaptation of the retrieved subcase to the new context could also be performed in ....

D. D. Corkill and V. R. Lesser, "The use of meta-level control for coordination in a distributed problem solving network", in Proceedings of the Eighth International Joint Conference on Artificial Intelligence, pp 748-756, Karlsruhe, FRG, 1983.

....s = oe i s A i retrieves a subcase from its local case base and forms a partial subcase with just one local subcase. It uses the problem specification Psi i and the presently available information 4 Organizational knowledge consists of a specification of general node interaction patterns[9] or static meta level information about knowledge case organization in the local databases of the agents. on the problem solving state (including previously tried solutions, conflicts they caused and feedback in the form of violated constraints from other agents) to achieve this task 5 . ffl ....

D. D. Corkill and V. R. Lesser, "The use of meta-level control for coordination in a distributed problem solving network", in Proceedings of the Eighth International Joint Conference on Artificial Intelligence, pp 748-756, Karlsruhe, FRG, 1983.

....can be modeled as uncertainty in the problem solving knowledge, such a system more importantly needs to be equipped with adaptive capabilities that become instantiated based on the changing problem solving roles of the agents. Some initial work on adaptive systems has been presented in Corkill[Corkill, 1983] , Ishida, Yokoo and Gasser[Ishida et al. 1990] and So and Durfee[So and Durfee, 1993] These systems are concerned with performance activated change in the organizational structuring involving agents monitoring their performance in the environment and initiating changes, either individually ....

....to reorganization there is a need for constant monitoring of the system based on performance measures. When these measures cross a certain threshold, reorganization is initiated to select a new organization for the present context. This process has also been called Organizational Self Design (OSD)[Corkill, 1983] . The existing systems perform OSD based one of the following major approaches: ffl Global Top down approach [Corkill and Lesser, 1983, Durfee and Montgomery, 1991, So and Durfee, 1993] where one or more of the agents monitor the global performance of the system and restructure its ....

[Article contains additional citation context not shown here]

Corkill, D. D. and Lesser, V. R. The use of meta-level control for coordination in a distributed problem solving network. In Proceedings of the Eighth International Joint Conference on Artificial Intelligence, pages 748--755, Karlsruhe, Germany, August 1983.

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D. Corkill and V. Lesser. The use of meta-level control for coordination in a distributed problem solving network. In 8th International Joint Conference on Artificial Intelligence, pages 748--756, August 1983.

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Corkill, Daniel, and Lesser, Victor. The use of meta-level control for coordination in a distributed problem solving network. In Proceedings of the Eighth International Joint Conference on Artificial Intelligence, pp. 748-756. August, Karlsruhe, Germany, 1983.

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Daniel D. Corkill and Victor R. Lesser. The use of meta-level control for coordination in a distributed problem solving network. In Proceedings of the 8th International Joint Conference on Artificial Intelligence (IJCAI'83), volume 2, pages 748--756, Karlsruhe, West Germany, August 8 - 12 1983. William Kaufmann.

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Daniel Corkill and Victor Lesser. The use of meta-level control for coordination in a distributed problem solving network. In In Proceedings of the Eighth International Joint Conference on Artificial Intelligence, pages 748--756, 1983. 229

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Daniel D. Corkill and Victor R. Lesser. The use of meta-level control for coordination in a distributed problem solving network. In Proceedings of the Eighth International Joint Conference on Artificial Intelligence, pages 748--756, Karlsruhe, West Germany, August 1983.

No context found.

Corkill, D. D., and Lesser, V. R. The use of meta-level Control for coordination in a distributed problem dolving network Proc. Int. Joint Conf. On AI, Karlsruhe, Germany, pp 748-756, 1986.

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Daniel D. Corkill and Victor R. Lesser. The use of meta-level control for coordination in a distributed problem solving network. In Proceedings of the Eighth International Joint ConferenceonArti#cial Intelligence, pages 748#755, Karlsruhe, Germany, August 1983.

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Corkill, D. D. & Lesser, V. R. (1983). The use of meta-level control for coordination in a distributed problem solving network. Proceedings of the Eighth International Joint Conference on Artificial Intelligence, 748-756.

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Corkill, D. D., and Lesser, V. R. (1983). "The use of meta-level control for coordination in a distributed problem solving network." Proc. of the Eighth IJCAI Conf., Karlsruhe, West Germany, 748-756.

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Daniel D. Corkill and Victor R. Lesser. The use of meta-level control for coordination in a distributed problem solving network. In Proceedings of the Eighth International Joint Conference on Artificial Intelligence, pages 748--755, Karlsruhe, Germany, August 1983.

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