AI re-emerging as research in complex systems
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TLDR
The possible future of embodied intelligent systems, able to model and understand the environment and learn from interactions, while learning and evolving in constantly changing circumstances is project.Abstract:
The history and the future of Artificial Intelligence could be summarized into three distinctive phases: embryonic, embedded and embodied. We briefly describe early efforts in AI aiming to mimic intelligent behavior, evolving later into a set of the useful, embedded and practical technologies. We project the possible future of embodied intelligent systems, able to model and understand the environment and learn from interactions, while learning and evolving in constantly changing circumstances. We conclude with the (heretical) thought that in the future, AI should re-emerge as research in complex systems. One particular embodiment of a complex system is the Intelligent Enterprise.read more
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Proceedings ArticleDOI
The Technology Adoption and Governance of Artificial Intelligence in the Philippines
Ronnie Concepcion,Rhen Anjerome Bedruz,Alvin B. Culaba,Elmer P. Dadios,Athena Rosz Ann R. Pascua +4 more
TL;DR: The Philippines is still coping up with the adoption of AI system, but it can steer up globally by strengthening the technology governance of strictly implementing the policies with measures the PDP 2017-2022 and its HNRDA.
Proceedings ArticleDOI
Current and future trends in AI
Kemal A. Delic,Jeff A. Riley +1 more
TL;DR: It is postulate that the famous Turing Test was a noble goal for AI scientists, making key, historical inroads - while it is believed that Biological Systems Intelligence and the Insect/Swarm Intelligence analogy/mimicry represents the key to further developments.
Journal ArticleDOI
How Artificial Intelligence Can Improve Understanding in Challenging Chaotic Environments
TL;DR: Results showed that using AI can improve the understanding of how input features influence future behaviors and simultaneously improve prediction accuracy and reliability.
References
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Book
The Sciences of the Artificial
TL;DR: A new edition of Simon's classic work on artificial intelligence as mentioned in this paper adds a chapter that sorts out the current themes and tools for analyzing complexity and complex systems, taking into account important advances in cognitive psychology and the science of design while confirming and extending Simon's basic thesis that a physical symbol system has the necessary and sufficient means for intelligent action.