ROADMAP: extending the gaia methodology for complex open systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
The Gaia Methodology for Agent-Oriented Analysis and Design
Autonomous Agents and Multi-Agent Systems
Tropos: An Agent-Oriented Software Development Methodology
Autonomous Agents and Multi-Agent Systems
Developing Intelligent Agent Systems: A Practical Guide
Developing Intelligent Agent Systems: A Practical Guide
An agent-mediated approach to the support of knowledge sharing in organizations
The Knowledge Engineering Review
Agent-oriented software engineering
The Knowledge Engineering Review
Tutorial on agent-based modeling and simulation part 2: how to model with agents
Proceedings of the 38th conference on Winter simulation
Scheduling meetings through multi-agent negotiations
Decision Support Systems
Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity)
A multi-agent simulation for social agents
Proceedings of the 2008 Spring simulation multiconference
MASQ: towards an integral approach to interaction
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Multi-issue negotiation with deadlines
Journal of Artificial Intelligence Research
An Introduction to MultiAgent Systems
An Introduction to MultiAgent Systems
Multi-agent based simulation: where are the agents?
MABS'02 Proceedings of the 3rd international conference on Multi-agent-based simulation II
Agent oriented software engineering with INGENIAS
CEEMAS'03 Proceedings of the 3rd Central and Eastern European conference on Multi-agent systems
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Context: Models of how people move around cities play a role in making decisions about urban and land-use planning. Previous models have been based on space and time, and have neglected the social aspect of travel. Recent work on agent-based modelling shows promise as a new approach, especially for models with both social and spatial elements. Objective: This paper demonstrates the design and implementation of an agent-based model of social activity generation and scheduling for experimental purposes to explore the effects of social space in addition to physical space. As a side-effect, the paper discusses the need for and requirements on structured design of agent-based models and simulations. Method: Model design was based on the MASQ meta-model and implemented in Python. The model was then tested against several hypotheses with several initial networks. Results: The model allowed us to investigate the effects of social networks. We found that the model was most sensitive to the pair attributes of the network, rather than the global or personal attributes. Conclusion: As demonstrated, a structured approach to model development is important in order to be able to understand and apply the results, and for the model to be extensible in the future. Agent-based modelling approaches allow for inclusion of social elements. For models incorporating social networks, testing the sensitivity to the initial network is important to ensure the model performs as expected.