Using Negotiation for Dynamic Composition of Services in Multi-organizational Environmental Management

Bǎdicǎ, Costin; Ilie, Sorin; Kamermans, Michiel; Pavlin, Gregor; Scafes, Mihnea

doi:10.1007/978-3-642-22285-6_20

Cited by 6 publications

(2 citation statements)

References 8 publications

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“…• the agent's time to the destination must be equal to the minimum time to the destination A similar utility function is described in [Bad12], however in our case time and distance do not need to be considered separate as there is no imposed deadline and the travel time is a direct consequence of the locations of the agents/hazards and the transport means.…”

Section: Mathematical Modelmentioning

confidence: 99%

Ubiquitous Multi-agent Environmental Hazard Management

Mocanu

Ilie

Bǎdicǎ

2012

2012 14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing

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There is great concern today about what our society can do to protect itself from all kinds of environmental hazards ranging from man-made disasters, like chemical spills to natural disasters, like earthquakes or floods. Luckily, numerous experts specifically trained to handle such situations, can come in our aid. However, a potentially troublesome challenge still presents itself: coordinating the environmental experts and ensuring that the most appropriate one(s) answer the call. In this paper, a modern technological model is proposed which combines the robustness of the JADE multi-agent framework with the versatility of the ANDROID mobile operating system to provide its users with automated negotiation protocols for experts' selection, while maintaining a variable degree of the experts' autonomy according to their stated preferences. In order to compute the estimated travel times between the various locations, the system uses the Google Directions API which is perfectly fit for the small-scale experimental scenario we have conducted, but it could also suit larger-scale applications if necessary.

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Section: Mathematical Modelmentioning

confidence: 99%

Ubiquitous Multi-agent Environmental Hazard Management

Mocanu

Ilie

Bǎdicǎ

2012

2012 14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing

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“…Engagements and invocations of a semantic web service are also performed according to the service's semantic protocol definitions. For instance, the dynamic composition of heterogeneous services for the optimal selection of service providers can be achieved by employing agents and ontologies, as proposed in (Bădică et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

On the use of a domain-specific modeling language in the development of multiagent systems

Challenger

Demirkol

Getir

et al. 2014

Engineering Applications of Artificial Intelligence

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The study of Multiagent Systems (MASs) focuses on those systems in which many intelligent agents interact with each other. The agents are considered to be autonomous entities which contain intelligence that serves for solving their selfish or common problems, and to achieve certain goals. However, the autonomous, responsive, and proactive natures of agents make the development of agent-based software systems more complex than other software systems. Furthermore, the design and implementation of a MAS may become even more complex and difficult to implement when considering new requirements and interactions for new agent environments like the Semantic Web. We believe that both domain-specific modeling and the use of a domain-specific modeling language (DSML) may provide the required abstraction, and hence support a more fruitful methodology for the development of MASs. In this paper, we first introduce a DSML for MASs with both its syntax and semantics definitions and then show how the language and its graphical tools can be used during model-driven development of real MASs. In addition to the classical viewpoints of a MAS, the proposed DSML includes new viewpoints which specifically support the development of software agents working within the Semantic Web environment. The practical use of the DSML is exemplified with a case study on the development of an agentbased expert finding system.

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Topics in Environmental Software Systems

Denzer¹

2015

IFIP Advances in Information and Communication Technology

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Part 1: Keynotes and Context ArticlesInternational audienceEnvironmental software systems (ESS) are software systems supporting activities of environmental protection, environmental management, environmental policy and environmental sciences. ESS often overlap with adjacent application fields like security, agriculture, health or climate change. The ISESS conference series is one of several overlapping events which are devoted to environmental modelling and software systems. ISESS is probably the one international event which has the strongest focus on the software angle.This paper gives a historic perspective of 20 years of ISESS conferences. Starting with a historic review of the development of the field named “environmental software systems”, it puts the ISESS conference into the greater perspective of similar activities. Using the original materials the paper identifies typical themes subsumed under ESS, and highlights typical topics for the time.The paper is the only existing complete collection of activities of the IFIP working group 5.11 “Computers and Environment”. Material of all events, ISESS conferences as well as co-organised workshops has been collected in one central place and will also to be kept up to date in the future

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Using Negotiation for Dynamic Composition of Services in Multi-organizational Environmental Management

Cited by 6 publications

References 8 publications

Ubiquitous Multi-agent Environmental Hazard Management

Ubiquitous Multi-agent Environmental Hazard Management

On the use of a domain-specific modeling language in the development of multiagent systems

Topics in Environmental Software Systems

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