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Dynamic electronic institutions in agent oriented cloud robotic systems.

Nagrath V, Morel O, Malik A, Saad N, Meriaudeau F - Springerplus (2015)

Bottom Line: In Dynamic Electronic Institutions, the process of formation, reformation and dissolution of institutions is automated leading to run time adaptations in groups of agents.DEIs in agent oriented cloud robotic ecosystems bring order and group intellect.This article presents DEI implementations through HTM5 methodology.

View Article: PubMed Central - PubMed

Affiliation: Laboratoire Le2i, UMR CNRS 6306, Le Creusot, 71200 France.

ABSTRACT
The dot-com bubble bursted in the year 2000 followed by a swift movement towards resource virtualization and cloud computing business model. Cloud computing emerged not as new form of computing or network technology but a mere remoulding of existing technologies to suit a new business model. Cloud robotics is understood as adaptation of cloud computing ideas for robotic applications. Current efforts in cloud robotics stress upon developing robots that utilize computing and service infrastructure of the cloud, without debating on the underlying business model. HTM5 is an OMG's MDA based Meta-model for agent oriented development of cloud robotic systems. The trade-view of HTM5 promotes peer-to-peer trade amongst software agents. HTM5 agents represent various cloud entities and implement their business logic on cloud interactions. Trade in a peer-to-peer cloud robotic system is based on relationships and contracts amongst several agent subsets. Electronic Institutions are associations of heterogeneous intelligent agents which interact with each other following predefined norms. In Dynamic Electronic Institutions, the process of formation, reformation and dissolution of institutions is automated leading to run time adaptations in groups of agents. DEIs in agent oriented cloud robotic ecosystems bring order and group intellect. This article presents DEI implementations through HTM5 methodology.

No MeSH data available.


Example of digital business ecosystem (DBE) in an agent oriented cloud robotics environment.
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Fig5: Example of digital business ecosystem (DBE) in an agent oriented cloud robotics environment.

Mentions: The aim of the DEI scenario mentioned above is to find new opportunities to exchange services amongst member agents. Formation of a coalition represents a viable service exchange (a business opportunity). When the member agents agree upon a set of norms to execute the service exchange, it is represented as foundation of an institution. Figure 5 shows an example where DBE is applied to an agent oriented cloud robotic ecosystem. Agents are independent software entities that represent a robotic/non-robotic entity in cloud robotic ecosystem. Individual cloud entities may have different hardware and software setup. Each of these entities may have a business owner and set of offered services. Some online server banks may have a number of contributors which build up a resource (like algorithms and other internet resources) which is then offered as a service to other entities through cloud. An open registry and matchmaking service allows peer-to-peer trade of these services in cloud robotic ecosystem. The network cloud itself may have many private and public networks, some of which may be owned by businesses that allows their use as a service. Banking super agents (Agents with special access norms) allow actual transfer of money between agents. Other super agents may be present to enforce law, quality, communication and trade standard over the agent community. Development life cycle of cloud robotic products may differ from vendor to vendor. Business model of organisations that deploy these products may also differ. Individual entities may enter or exit the ecosystem dynamically and their behaviour may change with time. An approach based on representative agents ensures that heterogeneity in business logic, design methodology and implementation of these products is respected. An approach based on representative agents ensures that heterogeneity in business logic, design methodology and implementation of these products is respected. In a real life scenario, it may be required to have a minimal human involvement in the 3F life cycle (see Figure 4). A proposal by (Muntaner-Perich and Rosa Esteva 2007;2008) advocates a 7 step life cycle where human decision makers are involved at two stages to validate business opportunities detected by the DBE system.Figure 5


Dynamic electronic institutions in agent oriented cloud robotic systems.

Nagrath V, Morel O, Malik A, Saad N, Meriaudeau F - Springerplus (2015)

Example of digital business ecosystem (DBE) in an agent oriented cloud robotics environment.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4352161&req=5

Fig5: Example of digital business ecosystem (DBE) in an agent oriented cloud robotics environment.
Mentions: The aim of the DEI scenario mentioned above is to find new opportunities to exchange services amongst member agents. Formation of a coalition represents a viable service exchange (a business opportunity). When the member agents agree upon a set of norms to execute the service exchange, it is represented as foundation of an institution. Figure 5 shows an example where DBE is applied to an agent oriented cloud robotic ecosystem. Agents are independent software entities that represent a robotic/non-robotic entity in cloud robotic ecosystem. Individual cloud entities may have different hardware and software setup. Each of these entities may have a business owner and set of offered services. Some online server banks may have a number of contributors which build up a resource (like algorithms and other internet resources) which is then offered as a service to other entities through cloud. An open registry and matchmaking service allows peer-to-peer trade of these services in cloud robotic ecosystem. The network cloud itself may have many private and public networks, some of which may be owned by businesses that allows their use as a service. Banking super agents (Agents with special access norms) allow actual transfer of money between agents. Other super agents may be present to enforce law, quality, communication and trade standard over the agent community. Development life cycle of cloud robotic products may differ from vendor to vendor. Business model of organisations that deploy these products may also differ. Individual entities may enter or exit the ecosystem dynamically and their behaviour may change with time. An approach based on representative agents ensures that heterogeneity in business logic, design methodology and implementation of these products is respected. An approach based on representative agents ensures that heterogeneity in business logic, design methodology and implementation of these products is respected. In a real life scenario, it may be required to have a minimal human involvement in the 3F life cycle (see Figure 4). A proposal by (Muntaner-Perich and Rosa Esteva 2007;2008) advocates a 7 step life cycle where human decision makers are involved at two stages to validate business opportunities detected by the DBE system.Figure 5

Bottom Line: In Dynamic Electronic Institutions, the process of formation, reformation and dissolution of institutions is automated leading to run time adaptations in groups of agents.DEIs in agent oriented cloud robotic ecosystems bring order and group intellect.This article presents DEI implementations through HTM5 methodology.

View Article: PubMed Central - PubMed

Affiliation: Laboratoire Le2i, UMR CNRS 6306, Le Creusot, 71200 France.

ABSTRACT
The dot-com bubble bursted in the year 2000 followed by a swift movement towards resource virtualization and cloud computing business model. Cloud computing emerged not as new form of computing or network technology but a mere remoulding of existing technologies to suit a new business model. Cloud robotics is understood as adaptation of cloud computing ideas for robotic applications. Current efforts in cloud robotics stress upon developing robots that utilize computing and service infrastructure of the cloud, without debating on the underlying business model. HTM5 is an OMG's MDA based Meta-model for agent oriented development of cloud robotic systems. The trade-view of HTM5 promotes peer-to-peer trade amongst software agents. HTM5 agents represent various cloud entities and implement their business logic on cloud interactions. Trade in a peer-to-peer cloud robotic system is based on relationships and contracts amongst several agent subsets. Electronic Institutions are associations of heterogeneous intelligent agents which interact with each other following predefined norms. In Dynamic Electronic Institutions, the process of formation, reformation and dissolution of institutions is automated leading to run time adaptations in groups of agents. DEIs in agent oriented cloud robotic ecosystems bring order and group intellect. This article presents DEI implementations through HTM5 methodology.

No MeSH data available.