OperettA: Organization-Oriented Development Environment

Aldewereld, Huib; Dignum, Virginia

doi:10.1007/978-3-642-22723-3_1

Cited by 38 publications

(26 citation statements)

References 23 publications

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“…For example, the fact that the way in which agents communicate is determined by the platform could be exploited for specific visualizations. In addition, grouping concepts such as organizations and roles [1,16] could help in clustering information for users, especially considering that the amount of information needed for debugging can easily explode in a systems with many agents.…”

Section: Discussionmentioning

confidence: 99%

Designing a source-level debugger for cognitive agent programs

Koeman

Hindriks

Jonker

2016

Auton Agent Multi-Agent Syst

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When an agent program exhibits unexpected behaviour, a developer needs to locate the fault by debugging the agent's source code. The process of fault localisation requires an understanding of how code relates to the observed agent behaviour. The main aim of this paper is to design a source-level debugger that supports single-step execution of a cognitive agent program. Cognitive agents execute a decision cycle in which they process events and derive a choice of action from their beliefs and goals. Current state-of-the-art debuggers for agent programs provide insight in how agent behaviour originates from this cycle but less so in how it relates to the program code. As relating source code to generated behaviour is an important part of the debugging task, arguably, a developer also needs to be able to suspend an agent program on code locations. We propose a design approach for single-step execution of agent programs that supports both code-based as well as cycle-based suspension of an agent program. This approach results in a concrete stepping diagram ready for implementation and is illustrated by a diagram for both the Goal and Jason agent programming languages, and a corresponding full implementation of a source-level debugger for Goal in the Eclipse development environment. The evaluation that was performed based on this implementation shows that agent programmers prefer a source-level debugger over a purely cycle-based debugger.

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Section: Discussionmentioning

confidence: 99%

Designing a source-level debugger for cognitive agent programs

Koeman

Hindriks

Jonker

2016

Auton Agent Multi-Agent Syst

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“…All this process is supported by the OperettA Tool (Aldewereld and Dignum 2010), this is one of the results of the ALIVE FP7 funded project ).…”

Section: Methodsmentioning

confidence: 99%

A Norm-Aware Multi-agent System for Social Simulations in a River Basin

Gómez-Sebastià

Oliva-Felipe

Cortés

et al. 2016

Intelligent Systems Reference Library

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Wastewater management is a complex task involving a wide range of technical enviromental and social factors. Furthermore, it typically requires the coordination of a heterogeneous society of actors with different goals. Regulations and protocols can be effectively used to tackle this complexity. In this chapter we present a norm-aware multi-agent system for social simulations in a river basin. The norms we present are inspired in European policies for wastewater management and they can evolve through time.

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“…More recently, the Operetta methodology [40], using the Opera framework [41] and its three interrelated models (the organizational model, the social model and the interaction model), proposes an expressive way for defining open organizations. It explicitly distinguishes the organizational model from the agents who will act in it.…”

Section: Current Organizational Approaches To Design Multi-agent Systemsmentioning

confidence: 99%