ConceptBase—a deductive object base for meta data management
Journal of Intelligent Information Systems - Special issue: deductive and object-oriented databases
ConGolog, a concurrent programming language based on the situation calculus
Artificial Intelligence
ISLANDER: an electronic institutions editor
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Towards requirements-driven information systems engineering: the Tropos project
Information Systems - The 13th international conference on advanced information systems engineering (CAiSE*01)
A Meta-Model for the Analysis and Design of Organizations in Multi-Agent Systems
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Modelling strategic relationships for process reengineering
Modelling strategic relationships for process reengineering
Specifying and analyzing early requirements in Tropos
Requirements Engineering
Modeling centralized organization of organizational change
Computational & Mathematical Organization Theory
A framework for formal modeling and analysis of organizations
Applied Intelligence
A capabilities-based model for adaptive organizations
Autonomous Agents and Multi-Agent Systems
Fluxplayer: a successful general game player
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Learning and multiagent reasoning for autonomous agents
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Information Systems - Special issue: The 15th international conference on advanced information systems engineering (CAiSE 2003)
Comparing three formal analysis approaches of the tropos family
AOIS'06 Proceedings of the 8th international Bi conference on Agent-oriented information systems IV
SNet reloaded: roles, monitoring and agent evolution
AOIS'04 Proceedings of the 6th international conference on Agent-Oriented Information Systems II
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Agent-based simulations have proven to be suitable to investigate many kinds of problems, especially in the field of social science. But to provide useful insights, the behaviour of the involved, simulated actors needs to reflect relevant features of the real world. In this paper, we address one particular aspect in this regard, namely the correct reflection of an actor's evolution during a simulation. Very often some knowledge exists about how an actor can evolve, for example, the typical development stages of entrepreneurs when investigating entrepreneurship networks. We propose to model this knowledge explicitly using evolution links between roles enriched with suitable conditions and extend i* , an agent- and goal-oriented modelling framework, thereby. We provide a mapping to the simulation environment ConGolog that serves as an intermediary approach between not providing change of behaviour at all and very open approaches to behaviour adaptation such as learning.