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A. Koukam

Researcher at Universite de technologie de Belfort-Montbeliard

Publications -  40
Citations -  896

A. Koukam is an academic researcher from Universite de technologie de Belfort-Montbeliard. The author has contributed to research in topics: Multi-agent system & Computer science. The author has an hindex of 16, co-authored 35 publications receiving 858 citations. Previous affiliations of A. Koukam include Iran University of Science and Technology.

Papers
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Journal ArticleDOI

ASPECS: an agent-oriented software process for engineering complex systems

TL;DR: This paper introduces an agent-oriented software process for engineering complex systems called ASPECS, based on a holonic organisational metamodel and provides a step-by-step guide from requirements to code allowing the modelling of a system at different levels of details using a set of refinement methods.
Journal ArticleDOI

Simulation and Evaluation of Urban Bus Networks Using a Multiagent Approach

TL;DR: A multiagent approach to describe the global system operation as behaviors of numerous autonomous entities such as buses and travelers is adopted and allows to analyze and evaluate a bus-network at diverse space and time scales.
Book ChapterDOI

An Organisational Platform for Holonic and Multiagent Systems

TL;DR: This article draws a complete description of janus and its main characteristics and a small example of a market-like community is provided with the associated code review to illustrate the impact of a full organisational approach in terms of code modularity and reusability.
Book ChapterDOI

An analysis and design concept for self-organization in holonic multi-agent systems

TL;DR: The concept of capacity as the description of agents know-how is introduced, which allows the representation and reasoning about agent know-hows and encourages a reusable modeling and provides agents with means to self-organize.
Book ChapterDOI

A Holonic Metamodel for Agent-Oriented Analysis and Design

TL;DR: This paper introduces organization-oriented abstractions for agent-oriented software engineering and proposes a complete organizational meta-model as the basis of a future complete methodology that will spread from requirements analysis to code production.