The Jadex Project: Programming Model

Pokahr, Alexander; Braubach, Lars; Jander, Kai

doi:10.1007/978-3-642-33323-1_2

Cited by 29 publications

(18 citation statements)

References 36 publications

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“…The concept of hybridization of agent-based systems with evolutionary techniques can be implemented in different ways, especially with regard to asynchronicity and concurrency, as well as distribution and parallelism. There is a number of popular agent-oriented frameworks which offer asynchronously communicating agents (such as Jadex [27], Jade [1] or MadKit [15]). However, they all share similar properties, such as heavyweight agents, at least partial FIPAcompliancy (JADE) or a BDI model (Jadex).…”

Section: Introductionmentioning

confidence: 99%

Massively concurrent agent-based evolutionary computing

Krzywicki¹,

Turek²,

Byrski³

et al. 2015

Journal of Computational Science

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The fusion of the multi-agent paradigm with evolutionary computation yielded promising results in many optimization problems. Evolutionary multi-agent system (EMAS) are more similar to biological evolution than classical evolutionary algorithms. However, technological limitations prevented the use of fully asynchronous agents in previous EMAS implementations. In this paper we present a new algorithm for agent-based evolutionary computations. The individuals are represented as fully autonomous and asynchronous agents. An efficient implementation of this algorithm was possible through the use of modern technologies based on functional languages (namely Erlang and Scala), which natively support lightweight processes and asynchronous communication. Our experiments show that such an asynchronous approach is both faster and more efficient in solving common optimization problems.

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Section: Introductionmentioning

confidence: 99%

Massively concurrent agent-based evolutionary computing

Krzywicki¹,

Turek²,

Byrski³

et al. 2015

Journal of Computational Science

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“…An overview of multi‐agent systems (given from different perspectives) can be found in the works of Wooldridge and Stone and Veloso . Examples of popular agent‐oriented frameworks are Jadex, Jade, or MadKit ).…”

Section: Related Workmentioning

confidence: 99%

Concurrent agent‐based evolutionary computations as adaptive dataflows

Krzywicki

Faber

Debski

2018

Concurrency and Computation

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Summary This paper introduces a new formal description of the execution model for agent‐based computing systems in the form of an adaptive dataflow decoupled from the domain‐specific semantics of the computation. We show that the execution models studied in previous work can be unified in this common model. The parameters of the model such as queuing policies and granularity of the data in the flow are analyzed. Several queueing alternatives are benchmarked to demonstrate how they affect the efficiency of the computation. Using the example of a multi‐agent evolutionary optimisation problem solver, the new approach is shown to outperform the classic one. This proposed model is well suited to functional languages and can be easily mapped onto different classes of hardware – from simple single‐core computers to distributed environments.

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“…We typically refer in this work to BDI agent implementation platforms such as JADE, JACK Intelligent Agents or the Jadex BDI Agent System (Pokahr et al, 2005;Pokahr et al, 2013;Pokahr et al, 2014).…”

Section: Agent Structurementioning

confidence: 99%

Towards an Agent-driven Software Architecture Aligned with User Stories

Wautelet¹,

Heng

Kolp

et al. 2016

Proceedings of the 8th International Conference on Agents and Artificial Intelligence

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Agile principles have taken an increasing importance in the last decades. Software Architecture (SA) definition is perceived as a non-agile practice as it is executed in a top-down manner, reminding waterfall development, and sometimes imposes heavy documentation. This paper proposes to systematically build an agent-oriented SA from a set of User Stories (US), the core artifact to document requirements in agile methodologies. Previous research has allowed to define a unified US meta-model for the generation of templates relating WHO, WHAT and WHY elements. This meta-model's elements define a syntax issued from practitioners templates associated with semantics from Goal Oriented Requirements Engineering frameworks, more precisely i*. With a set of US following the templates of this previous model, the link between the US and SA concepts is systematically studied and a transformation process is proposed. The SA can decline agent behaviors aligned with requirements and organizational behaviors. Moreover, requirements (thus US) are subject to evolution through agile iterations; the SA can evolve with these changes in a semi-automatic manner. We thus argue that the Agent-SA produced with our transformation process contributes to the overall project agility. STRUCTURING USER STORY CONCEPTSThis section exposes the "building blocks" used within this research.

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The Jadex Project: Programming Model

Cited by 29 publications

References 36 publications

Massively concurrent agent-based evolutionary computing

Massively concurrent agent-based evolutionary computing

Concurrent agent‐based evolutionary computations as adaptive dataflows

Towards an Agent-driven Software Architecture Aligned with User Stories

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