publications-various - MIKHAIL PROKOPENKO

Various publications

Essays

M. Prokopenko, How we evolved a winning strategy for the RoboCup competition by imitating nature, The Conversation, 15 August 2016.
M. Prokopenko, Complexity of the unexpected, Blog in Frontiers, 31 May 2016.
M. Prokopenko and D. Budden, Is humanity just a phase in a robotic evolution?, Blog in World Economic Forum’s Agenda, 8 September 2015.

Expert Systems, Embedded Rule Processors

Prokopenko, M., C. Lindley, M. Milosavljevic, D.-M. Zhang. A Rule Processing System for Knowledge-based Manpower Planning and Scheduling, in Proceedings of the Australasia-Pacific Forum on Intelligent Processing and Manufacturing of Materials (IPMM'97), pp. 143-149, 1997.

M. Lee, S. Balbo, C. Lindley, M. Prokopenko. Combining Rule-Based Knowledge Acquisition with Task-Oriented User Analysis for Dispersed, Embedded Expert Systems, in Proceedings of the Joint Pacific Asian Conference on Expert System / Singapore International Conference on Intelligent Systems (PACES/SPICIS'97), 1997.

Lindley, C., M. Prokopenko, M. Milosavljevich, D.-M. Zhang. A Rule Editor and Processing System for Manpower Planning and Scheduling, in Proceedings of the Workshop on Verification, Validation and Refinement of KBS (the Pacific Rim International Conference on Artificial Intelligence, PRICAI'96), pp. 37-46, 1996.

Prokopenko, M., C. Lindley, V.R. Kumar, W.-Y. Wong. Building an Expert System for Dispatch Management: Reasoning about Action Approach, in Proceedings of the 5th International Conference on Intelligent Systems (ISCA ICIS'96), pp. 81-86, 1996.

Prokopenko, M., C. Lindley, V.R. Kumar. The Application of Reasoning about Action Techniques to Dispatch Management, in Proceedings of the 1st Australian Workshop on Commonsense Reasoning (the 8th Australian Joint Conference on Artificial Intelligence, AI'95), pp. 74-88, 1995.

Autoregressive Models, Econometrics, Digital Signal Processing

Prokopenko, M. Learning Algorithm for Selection of an Autoregressive Model for Multi-step Ahead Forecast, in Proceedings of the 3rd Australian and New Zealand Conference on Intelligent Information Systems (ANZIIS'95), pp. 47-52, 1995.

Prokopenko, M. Learning Autoregressive Model Order for Multi-step Ahead Predictions, in Proceedings of the 8th Australian Joint Conference on Artificial Intelligence (AI'95), pp. 43-50, 1995.

Prokopenko, M. An Autoregressive Model Order Selection Based on Estimation of Pattern Residuals Interdependence, M.A. thesis, University of Missouri - Columbia, UMI, Ann Arbor, 1995.

Prokopenko M., A Computer-aided System for Application Programs Design based on PRIZ, M.Sc. Thesis, Azerbaijan Institute of Oil & Chemistry, School of Applied Mathematics, Baku, USSR., 1988.

Ter-Khachaturov A., Chernoguz N., A. Samedov, M. Prokopenko, Applying Instrumental Programming System PRIZ ES to Software Package Design for Statistical Data Analysis, VINITI, Baku, USSR., 1988.

Prokopenko M., Computer Simulation and Mathematical Modelling for Image Processing, the best paper award at the 39th Student Scientific and Technical Conference at the Azerbaijan Institute of Oil and Chemistry, Baku, USSR, 1987.

Tutorials

Prokopenko, M. and Chang S. L., "Simulating pandemics with agent-based models (SimPanABM)", ALIFE 2022, Trento, Italy, 2022
Prokopenko M., "Tracing epidemics with agent-based and network based models (EpiAgeNet)", ALIFE 2020, Montréal, Canada, 2020
Prokopenko M., "Information Dynamics in Complex Systems", ALIFE 2016, Cancun, Mexico, 2016