Collaboration of Intelligent Interoperable Agents Via Smart Interface
Issue:
Volume 5, Issue 4, December 2019
Pages:
66-72
Received:
7 December 2019
Accepted:
20 December 2019
Published:
31 December 2019
Abstract: Artificial intelligence is a revolutionary technology that is designed to transform the life of the world community: to optimize business processes, to provide valuable information, to increase creative service to citizens. The importance of integrating artificial intelligence into the infrastructure of the future has already been recognized. The Government AI Readiness Index has been created, which reflects the readiness of Governments to support the development of artificial intelligence technology. The coming years will take to improve security and standardize the development and use of intelligent agents that ensure their compatibility. Intelligent agents can be combined at the software level through a standard interface to communicate with them based on mental real mathematics. Compatibility will allow produce from them intelligent ensembles with cognitive creative and behavioral abilities of the person for service services. It will also allow produce intelligent production high-tech complexes. Standardizing the cooperation of intelligent agents will help to ensure the interface, compatibility and synergy of their safe application in various sectors of economy, industry and service. Creative ensembles of intelligent interoperable agents, which implement technological, production, service, commercial, research and other creative processes, are an incentive for a breakthrough in the field of artificial intelligence for the sustainable development of society. In the future, creative ensembles of intellectual interoperable agents will qualitatively change the life of the world community.
Abstract: Artificial intelligence is a revolutionary technology that is designed to transform the life of the world community: to optimize business processes, to provide valuable information, to increase creative service to citizens. The importance of integrating artificial intelligence into the infrastructure of the future has already been recognized. The G...
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A Comparative Study on Harvesting Plan Predicting Insurance with Two-Stage Stochastic Analysis
Hashnayne Ahmed,
Shek Ahmed
Issue:
Volume 5, Issue 4, December 2019
Pages:
73-82
Received:
9 December 2019
Accepted:
20 December 2019
Published:
31 December 2019
Abstract: The exception of considering uncertainty could be very detrimental to the outcomes of any systems or phenomena in the long run. Stochastic Process describes the way of considering uncertainty in different sectors of our life. We use Linear Programming for planning at its best. It is also considered as the best optimization technique for taking decisions or planning. But this planning tool disappoints us in optimization for unexpected risk or stochasticity. Consideration of stochasticity for a farmer to devote land on different crops for harvesting could be some insurance for the farmer with the best possible outcomes. Stochastic Programming studies these types of optimization techniques with risk consideration for better decisions in every step of our life. In this paper, we described the early starting of uncertainty calculation or stochastic approach and the evolution of stochastic optimization fields. Stochastic optimization is rather important in the sense of uncertainty calculation than sensitivity analysis and works through data gained from experience. We also present a stochastic model with some uncertainty issues in harvesting to make better outcomes. Some application areas are also discussed.
Abstract: The exception of considering uncertainty could be very detrimental to the outcomes of any systems or phenomena in the long run. Stochastic Process describes the way of considering uncertainty in different sectors of our life. We use Linear Programming for planning at its best. It is also considered as the best optimization technique for taking deci...
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