Equating human and machines in the management perspective
T. Mahadeva Rao, Gabriel Simon Thattil · 2008
The increased application of Information Technology in organizations, has led to the development of intelligent software that can handle various conventional management functions. Distributed Artificial Intelligence (DAI) views such autonomous software applications as intelligent agents and complex systems as a collection of such interacting agents. Extending this to management, an organization is viewed as a multi-agent system having many agents (human and software) and a manager is viewed as an agent in the hierarchy. This paper gives a new perspective to such systems, accommodating a blend of human skills and machine skills. The skills required for various management processes are equated to intelligent agent properties, and a new model, which has the ability to compare the efficiency of man and machine in handling similar managerial functions, is proposed.