Establishing the foundation of adaptive collaboration

Zhu, Haibin; Hou, Ming; Zhou, MengChu

doi:10.1109/cts.2010.5478466

Cited by 13 publications

(11 citation statements)

References 28 publications

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“…According to Zhu et al in [1], adaptive collaboration is defined as a special property which enables components to sustain themselves in dynamic environments, being collaboration necessary when a single entity cannot accomplish the task alone in an optimal manner. Here, the notion of ensemble or set of components is crucial for understanding all the mechanisms involved in synchronizing operations in cooperative scenarios: a first classification should be made at this point, underlining communication, organization and other emerging properties regarding the ensemble and its respective environment.…”

Section: Introductionmentioning

confidence: 99%

Conceptual Map and Classification in Ensembles of Autonomic Components: from Awareness to Organization

Capodieci

Cabri

2012

2012 IEEE Sixth International Conference on Self-Adaptive and Self-Organizing Systems Workshops

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Designing cooperative autonomic components andstudying their possible interactions when operating in ensemblein open and non-deterministic environments, poses severalchallenges for the developer. While older studies focus on theseveral possibilities for optimized collaboration protocols andcommunication possibilities in distributed architectures, themost recent trend is more focussing on the self-expression andself-organizing features that aware components may deployduring run-time, thus exploring new frontiers in designingadaptive collaboration patterns. In this paper we propose aconceptual map for autonomic components (taking into accountthe distributed robotics scenario) able to classify old andnew approaches in collaboration, highlighting similarities andcommonalities between patterns and by focussing on the laststudies about awareness of autonomous components. Being apreliminary study, the further goal is represented by findinga design approach for dynamically changing collaborationpatterns during a run-time execution of tasks

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Section: Introductionmentioning

confidence: 99%

Conceptual Map and Classification in Ensembles of Autonomic Components: from Awareness to Organization

Capodieci

Cabri

2012

2012 IEEE Sixth International Conference on Self-Adaptive and Self-Organizing Systems Workshops

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“…Learning has also been enhanced by the World Wide Web by allowing multiple students from all over the world to access different virtual learning objects and collaborate to obtain new knowledge. Enterprises have also found benefit in the web allowing communication between workers to improve their collaboration; however, as established by Zhu [14] adaptability is a key element in a collaboration environment. As seen in [1] an adaptive collaboration framework for a virtual classroom application, adaptive collaboration greatly improves learning compared to a scenario where adaptation is not considered.…”

Section: Introductionmentioning

confidence: 99%

Agents for Enriched Services (AES): A generic agent - Based adaptation framework

Torres-Ribero¹,

Garzón²,

Arias-Baez³

et al. 2011

2011 International Conference on Collaboration Technologies and Systems (CTS)

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This paper presents AES (acronym of Agents for EnrichedServices) framework; a generic framework that can be used to enrich services and adapting an original service request to what the context information, user profile and other multiple sources of information can bring in order to improve the end-user experience in using the framework. The framework is presented along with its architecture and the way it was implemented using agents, an example showing how this framework may improve collaboration and a study case are presented in order to validate the framework's functionality.

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“…Role assignment has a major impact on the efficiency of collaboration and the degree of satisfaction among the members involved. This is one of the most important steps in the process of Adaptive Collaboration (AC) [13,14].…”

Section: Introductionmentioning

confidence: 99%

“…Group role assignment is itself a very complex problem that has been solved when the agents' qualifications have been provided [13]. However, there are many variations in the real world when considering role assignment for a group of agents.…”

Section: Introductionmentioning

confidence: 99%

Collective group role assignment and its complexity

Zhu

2011

2011 IEEE International Conference on Systems, Man, and Cybernetics

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Role assignment is an important task in Role-Based Collaboration (RBC) and Adaptive Collaboration. There are many variations in the process of role assignment. An introduction of any new requirement leads to a significant change in the process and the complexity of the algorithm of role assignment. This paper formally identifies a group of problems in role assignment when multiple agents are involved; proposes initial solutions; conducts simulations and experiments to reveal the complexity of collective group role assignment, and indicates future work activities. The contributions of this paper include formal provision of taxonomy for collective group role assignment and indication of the complexities arising from of this type of problem through simulations and experiments.

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Establishing the foundation of adaptive collaboration

Cited by 13 publications

References 28 publications

Conceptual Map and Classification in Ensembles of Autonomic Components: from Awareness to Organization

Conceptual Map and Classification in Ensembles of Autonomic Components: from Awareness to Organization

Agents for Enriched Services (AES): A generic agent - Based adaptation framework

Collective group role assignment and its complexity

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