1. Agogino, A. K., & Tumer, K. (2005). Multi-agent reward analysis for learning in noisy domains. In 4th international joint conference on autonomous agents and multiagent systems (AAMAS) (pp. 81–88).
2. Albus, J. S. (1993). A reference model architecture for intelligent systems design. In K. M. Passino & P. J. Antsaklis (Eds.), An introduction to intelligent and autonomous control (pp. 27–56). Berlin: Kluwer Academic Publishers.
3. Barbulescu, L., Rubinstein, Z. B., Smith, S. F., & Zimmerman, T. L. (2010). Distributed coordination of mobile agent teams: The advantage of planning ahead. In Proceedings of the 9th international conference on autonomous agents and multiagent systems, international foundation for autonomous agents and multiagent systems (pp. 1331–1338).
4. Bibu, G. D. (2019). Modelling organisations as electronic institutions. International Journal of Scientific and Technology Research, 8(6), 37–43.
5. Clement, B. J., Durfee, E. H., & Barrett, A. C. (2007). Abstract reasoning for planning and coordination. Journal of Artificial Intelligence Research (JAIR), 28, 453–515.