Goal Decomposition Tree: An Agent Model to Generate a Validated Agent Behaviour

Simon, Gaële; Mermet, Bruno; Fournier, Dominique

doi:10.1007/11691792_8

Cited by 6 publications

(10 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For about 6 years, the model of Goal Decomposition Trees (GDT) has been developed to help to formally specify agents and multiagent systems [24][25][26]32]. This model allows the formal specification of agents by a set of properties and a behaviour.…”

Section: Introductionmentioning

confidence: 99%

Specifying recursive agents with GDTs

Mermet

Simon

2010

Auton Agent Multi-Agent Syst

Self Cite

View full text Add to dashboard Cite

The purpose of this article is to formalise the notion of recursive agent by extending the Goal Decomposition Tree formalism (GDT). A formal semantics of this decomposition is given, as well as the definition of operators to introduce various ways of recursively defining agents. Design patterns, that show various use cases for recursive agents, are also presented. Finally, to preserve the essential GDT characteristics (that is to allow the verification of agents behaviours), we give proof schemas that allow a proof of the correctness of a recursive agent.

show abstract

Section: Introductionmentioning

confidence: 99%

Specifying recursive agents with GDTs

Mermet

Simon

2010

Auton Agent Multi-Agent Syst

Self Cite

View full text Add to dashboard Cite

show abstract

“…GDT provides traceability between goals (both top-down and bottom up) using logical inferences through a set of decomposition operators, allowing claims on a goal's achievement based on its sub-goals' achievement. Considering [20] we shift from goal-agent to goal-process coupling. Within the scope of this paper a goal is a state of a process in terms of the quality of a service property that is intended to be achieved (e.g.…”

Section: Step 1: Build Goal Structurementioning

confidence: 99%

“…Our method utilizes the process design framework [19] and the goal decomposition tree (GDT) proposed by [20] in agent programming. The process design framework is used as a reference to ensure that all essential process concepts are addressed and comprehensively represented, as exemplified in [21].…”

Section: Step 1: Build Goal Structurementioning

confidence: 99%

Towards a Goal-Driven Approach for Business Process Improvement Using Process-Oriented Data Warehouse

Shahzad

Giannoulis

2011

Business Information Systems

View full text Add to dashboard Cite

Abstract. An emerging approach for business process analysis is to use business intelligence practices by employing data warehouse and decisionmaking techniques. However, little work has been done on developing core methods and tools to guide process analysis and improvement. Our research addresses this issue by introducing a goal-driven approach for business process improvement using process warehouse. In this paper, we present our three step method and its evaluation through an empirical study. The results showed that the impact of applying our method for process improvement has been perceived positively.

show abstract

“…An interaction is performed to achieve something, and this leads to other properties. Some agent-oriented methods propose to define "external goals" [20]. Another simple solution is to define preconditions and post-conditions.…”

Section: Reification Of the Interaction Concept For Agent Modellingmentioning

confidence: 99%

“…Other approaches [20] emphasise that a certain plan or organisational or individual behaviour exists because of a goal. The difference between the IDR diagram and a goal decomposition is that goals focus on "what" should be done, whereas interactions specify also the structure, possibly the order, and the potential participants.…”

Section: Different Ways To Use Idrsmentioning

confidence: 99%

Modelling and Executing Complex and Dynamic Business Processes by Reification of Agent Interactions

Stuit

Szirbik

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. Interaction refers to an abstract and intangible concept. In modelling, intangible concepts can be embodied and made explicit. This allows to manipulate the abstractions and to build predictable designs. Business processes in organisations are in fact reducible to interactions, especially when agent-oriented modelling methods are employed. Business processes represented as interaction structures can appear at different levels of abstraction. There is a compositional coupling between these levels, and this necessitates a method that allows dynamic de/re-composition of hierarchically organised interactions. We introduce the novel concepts that allow interaction-based diagramming and explain the syntax and semantics of these constructs. Finally, we argue that a business process composition with interactions allows more organisational flexibility and agent autonomy, providing a better approach in complex and dynamic situations than current solutions.

show abstract

Goal Decomposition Tree: An Agent Model to Generate a Validated Agent Behaviour

Cited by 6 publications

References 13 publications

Specifying recursive agents with GDTs

Specifying recursive agents with GDTs

Towards a Goal-Driven Approach for Business Process Improvement Using Process-Oriented Data Warehouse

Modelling and Executing Complex and Dynamic Business Processes by Reification of Agent Interactions

Contact Info

Product

Resources

About