Modelling Culture in Multi-agent Organizations

Morris, Alexis; Ross, William A.; Ulieru, Mihaela

doi:10.1007/978-3-642-27216-5_6

Cited by 5 publications

(3 citation statements)

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“…There is a need for software systems, as technology progresses, to understand human social systems, which are not well defined, yet highly dynamic, in many contexts and multiple environments, involved in potentially large complex and also multi-dimensional social networks (see [47,75] for more on dimensionality of social systems). In order to succeed in this task these systems must themselves be highly dynamic, autonomic (self-*, [36]), and context-sensitive (especially for human-context, device-context, and situation-contexts).…”

Section: Socio-technical Systems Gapsmentioning

confidence: 99%

“…Although this is a general definition, it is extended with the addition of notions of belief, desires, and intentions [60,78]. These systems have been developed, in the 1990's, concurrent to context awareness research and represent a significant field with contributions to distributed artificial intelligence, robot control, modelling and simulation, human-agent teamwork, and even wireless sensor networks [6,18,46,47,50,72]. The field targets theoretical developments for reasoning with agents, agent architectures for designing such agents, and agent languages for programming and implementation [78].…”

Section: Hybrid Agents For Context Awarenessmentioning

confidence: 99%

“…Since social systems are limited in terms of human cognitive and physical capacities (such as stress, situational, or relational limits), it is realistic to focus on the development of smarter technologies to bridge the gap. Technologies like this would perform tasks related to monitoring human limits, predicting the state of the social (human) system, protecting the social system through useful interventions/actions, and assisting the social system through anticipatory actions where possible.There is a need for software systems, as technology progresses, to understand human social systems, which are not well defined, yet highly dynamic, in many contexts and multiple environments, involved in potentially large complex and also multi-dimensional social networks (see [47,75] for more on dimensionality of social systems). In order to succeed in this task these systems must themselves be highly dynamic, autonomic (self-*, [36]), and context-sensitive (especially for human-context, device-context, and situation-contexts).…”

mentioning

confidence: 99%

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FRIENDs: Brain-monitoring agents for adaptive socio-technical systems

Morris

Ulieru

2013

MGS

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Brain-monitoring is quickly becoming an important field of research, with potentially significant impacts on how people will interact with technology. As understandings of the inner-workings of the brain become more accurate technologies are becoming more advanced, smaller, cheaper, and ubiquitous. It is expected that new forms of computing that take advantage of brain states will be developed. This will enable systems to be highly aware of user mental contexts (emotions, intentions, and moods). These systems would display higher autonomic behavior and would streamline user-interaction while managing the use of brain context data for applications and services. There are few studies of how to develop and make use of agent architectures in this new domain. Current approaches target a single user and application situation. To be ubiquitous it is unrealistic for applications to have specialized overhead for individual users. Personalizable, but distributed approaches are needed.To realize a general purpose agent for brain-monitoring and management of brain context is the goal of this work. This involves the selection of a brain-monitoring paradigm, the selection of an agent architecture paradigm, an inferencing mechanism, and the combination of the three towards a unified framework. Core motivations are discussed, and an early agent framework design (FRIEND) is presented, along with proposed proof-of-concept applications for using brain context. A. Morris and M. Ulieru / FRIENDs: Brain-monitoring agents for adaptive socio-technical systemsMaking sense of brain context on the fly (states and patterns of activity) requires adequate measurement methods, inferencing techniques, and a control architecture that captures these signals and makes use of them. The measurement methods are available, as well as inferencing methods [7], but robust control architectures that are flexible, fast, autonomous, and applicable in multiple scenarios remain to be explored. At present individual researchers are developing custom solutions for handling brain measurements [24,55,56] but no general-purpose architecture has emerged. This research aims to fill this gap by exploring architectures and developing a novel agent-oriented approach to brain-monitoring and brain context management systems. Motivation Socio-technical systems gapsThis work aims to seamlessly bridge the gap between people and technology from a techno-centric viewpoint, through smarter, human-context-aware computing. Its purpose is to augment social systems with more dynamic and flexible technology. At a high level there are three key issues. First, there are significant failures due to the misfit between technology and social context (i.e., the socio-technical gap between users and technologies). Second is that although these gaps can be minimized, there is only so much that can be done by modifying social systems to fit better with technologies. Third, there is a real challenge in designing, developing, and testing technologies that minimize the socio-technical gap.Failu...

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Section: Socio-technical Systems Gapsmentioning

confidence: 99%