A two-level, protocol-based approach to controlling autonomous oceanographic sampling networks

Turner, Roy M.; Turner, Elise H.

doi:10.1109/48.972108

Cited by 18 publications

(8 citation statements)

References 20 publications

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“…The CoDA (Cooperative Distributed AOSN controller) project [47] focuses on organizing and reorganizing AOSNs as the situation changes. Part of the project involves using various organization protocols to self-organize a set of instrument platforms based on the situation and, when the situation changes, to reorganize appropriately.…”

Section: Multiagent Systemsmentioning

confidence: 99%

Context-Mediated Behavior

Turner¹

2017

MUC

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ABSTRACT. All effective agents are context-sensitive. This is true for biological agents, and it must also be true for artificial agents if they are to succeed. Context-mediated behavior (CMB) is one approach to endowing artificial agents with context-sensitive, context-appropriate behavior. It relies on explicitly representing contexts -important classes of situations -as contextual schemas and associating with them all the relevant knowledge about that context. The agent can then use these c-schemas to assess its context and their knowledge to behave appropriately. In this paper, we provide an overview of CMB, review the past work on it, discuss what we have learned from more than twenty years of working on the problem, and describe where we are and where we are going with CMB.

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Section: Multiagent Systemsmentioning

confidence: 99%

Context-Mediated Behavior

Turner¹

2017

MUC

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“…In this scenario, we can see how the BIS has been able to reorganize in order to satisfy a maintenance goal in the system. However, this reorganization process has resulted in a lost of coverage as the Tank located at (29,40) cannot no longer be detected. Fig.…”

Section: Maintenance Goal Failurementioning

confidence: 99%

“…Other closely related work includes the CoDA project at the University of Maine [40]. The CoDA project deals with a team of autonomous underwater vehicles that must self-organize and reorganize using a two level strategy where a meta-level organization designs a task-level organization to carry out system goals.…”

Section: Related Workmentioning

confidence: 99%

A capabilities-based model for adaptive organizations

DeLoach

Oyenan

Matson

2007

Auton Agent Multi-Agent Syst

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Multiagent systems have become popular over the last few years for building complex, adaptive systems in a distributed, heterogeneous setting. Multiagent systems tend to be more robust and, in many cases, more efficient than single monolithic applications. However, unpredictable application environments make multiagent systems susceptible to individual failures that can significantly reduce its ability to accomplish its overall goal. The problem is that multiagent systems are typically designed to work within a limited set of configurations. Even when the system possesses the resources and computational power to accomplish its goal, it may be constrained by its own structure and knowledge of its member's capabilities. To overcome these problems, we are developing a framework that allows the system to design its own organization at runtime. This paper presents a key component of that framework, a metamodel for multiagent organizations named the Organization Model for Adaptive Computational Systems. This model defines the requisite knowledge of a system's organizational structure and capabilities that will allow it to reorganize at runtime and enable it to achieve its goals effectively in the face of a changing environment and its agent's capabilities.Keywords: adaptation, organizations, metamodel, self-organization IntroductionSystems are becoming more complex, in part due to increased customer requirements and the expectation that applications should be seamlessly integrated with other existing, often distributed applications and systems. In addition, there is an increasing demand for these complex systems to exhibit some type of intelligence as well. No longer is it "good enough" to be able to access systems across the internet, but customers require that their systems know how to access data and systems, even in the face of unexpected events or failures.The goal of our research is to develop a framework for constructing complex, distributed systems that can autonomously adapt to their environment. Multiagent systems have become popular over the last few years for providing the basic notions that are applicable to this problem. A multiagent Scott A. DeLoach, Walamitien Oyenan & Eric T. Matson. A Capabilities Based Model for Artificial Organizations. Journal of Autonomous Agents and Multiagent Systems. Volume 16, no. 1, February 2008, pp. 13-56. DOI: 10.1007 (note: this text is identifiable to the journal, however, the format is notThe original publication is available at www. springerlink.com.) system uses groups of self-directed agents working together to achieve a common goal. Such multiagent systems are widely proposed as replacements for sophisticated, complex, and expensive stand-alone systems for similar applications. Multiagent systems tend to be more robust and, in many cases, more efficient (due to their ability to perform parallel actions) than single monolithic applications. In addition, the individual agents tend to be simpler to build, as they are built from a single agent's perspective...

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“…We will descend further into the organizational process to examine the evaluation of capabilities and how capabilities are the base of the decision making framework, within the process of organization [4]. Cooperative robotic teams can solve problems requiring many critical and noncritical goals to be accomplished.…”

Section: Introductionmentioning

confidence: 99%

Using Dynamic Capability Evaluation to Organize a Team of Cooperative, Autonomous Robots

Matson¹,

DeLoach²

2003

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In our research, we have developed an architecture and computational structure that allows for a generic team of robots to dynamically discern what their capabilities are and then apply those to evaluate if the team can achieve an externally mandated set of goals. We define the process of dynamic capability evaluation to determine if a team of robots can build a cooperative organization with the necessary capabilities to satisfy a set of stated organizational goals. Based on this evaluation, the organization will decide whether to organize and proceed, relax some goals, or abandon the process of organization.

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A two-level, protocol-based approach to controlling autonomous oceanographic sampling networks

Cited by 18 publications

References 20 publications

Context-Mediated Behavior

Context-Mediated Behavior

A capabilities-based model for adaptive organizations

Using Dynamic Capability Evaluation to Organize a Team of Cooperative, Autonomous Robots

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