Determining the range of predictions for calibrated agentbased simulation models

Proceedings of the 2010 Operational Research Society Simulation Workshop, SW 2010

Volumn , Issue , 2010, Pages 17-22

  Shi, Dong Fang ^a   Brooks, Roger J ^a  

^a LANCASTER UNIVERSITY   (United Kingdom)

Author keywords

Agent based simulation; Calibration; Validation

Indexed keywords

CALIBRATION;

AGENT BASED; AGENT BASED SIMULATION; AGENT-BASED SIMULATION MODELS; BEST VALUE; FEASIBLE SET; VALIDATION; WORD OF MOUTH;

FORECASTING;

EID: 84858058084     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. N. Baxter, D. Collings and I. Adjali (2003). "Agent-Bas ed Modelling-Intelligent Customer Relationship Management" BT Technology Journal, 21(2): 126-132.
2. R.J. Brooks,D.N. Lerner,A.M. Tobias. 1994 Determining the Range of Predictions of a Groundwater Model which arise from Alternative Calibrations" Water Resources Research 30 11): 2993-3000.
3. B. Edmonds and M. Mohring (2005). "Agentbased simulation modeling in social and organizational domains " Simulation-Transactions of the Society For Modeling And Simulation International, 81(3): 173-174.
4. K. Kijima and H. Hirata (2004). "Diffusion of Word-of-Mouth in Segmented Society: Agent-Based Simulati on Approach" Artificial Intelligence and Simulation (ed. T. G. Kim), selected papers from 13th International Conference on AI, Simulation, and Planning in High Autonomy Systems, Lecture Notes in Computer Science (Subseries: Lecture Notes in Artificial Intelligence), 3397: 198-206.
5. J.A. Nelder and R. Mead (1965). "A simplex method for function minimisation " Computer Journal, 7: 308-313.
6. W.W.-G. Yeh (1986). "Review of Para meter Identification Procedures in Groundwater Hydrology: The Inverse Problem" Water Resources Review, 22(2): 95-108.