Integrating Artificial Intelligence with Simulation Modeling
Blog 🔎 https://www.anylogic.com/blog/what-links-machine-learning-deep-learning-and-simulation-/
Simulation is one of five key technologies that PwC’s Artificial Intelligence Accelerator lab uses to build Artificial Intelligence (AI) applications. Application of AI is accelerating rapidly, spawning new sectors, and resulting in unprecedented reach, power, and influence. Simulation explicitly captures the behavior of agents and processes that can either be described by or replaced by AI components. AI components can be embedded into a simulation to provide learning or adaptive behavior. And, simulation can be used to evaluate the impact of introducing AI into a “real world system” such as supply chains or production processes.
In this presentation Lyle Wallis, PwC Advisory Analytics Director, demonstrates an Agent-Based Model with Reinforcement Learning for Autonomous Fleet Coordination; a version of the AnyLogic Candy Game that has been modified to include adaptive dynamics based on deep learning; and describes approaches to integrating machine learning into the design and development of simulations.
Related blog ⭐ https://www.anylogic.com/blog/what-links-machine-learning-deep-learning-and-simulation-/
Also from Lyle Wallis 🔎 https://www.anylogic.com/blog/integrating-artificial-intelligence-with-simulation-modeling/
AnyLogic AI - https://www.anylogic.com/features/artificial-intelligence/
#Simulation #MachineLearning #LyleWallis #AnyLogic
Видео Integrating Artificial Intelligence with Simulation Modeling канала AnyLogic
Simulation is one of five key technologies that PwC’s Artificial Intelligence Accelerator lab uses to build Artificial Intelligence (AI) applications. Application of AI is accelerating rapidly, spawning new sectors, and resulting in unprecedented reach, power, and influence. Simulation explicitly captures the behavior of agents and processes that can either be described by or replaced by AI components. AI components can be embedded into a simulation to provide learning or adaptive behavior. And, simulation can be used to evaluate the impact of introducing AI into a “real world system” such as supply chains or production processes.
In this presentation Lyle Wallis, PwC Advisory Analytics Director, demonstrates an Agent-Based Model with Reinforcement Learning for Autonomous Fleet Coordination; a version of the AnyLogic Candy Game that has been modified to include adaptive dynamics based on deep learning; and describes approaches to integrating machine learning into the design and development of simulations.
Related blog ⭐ https://www.anylogic.com/blog/what-links-machine-learning-deep-learning-and-simulation-/
Also from Lyle Wallis 🔎 https://www.anylogic.com/blog/integrating-artificial-intelligence-with-simulation-modeling/
AnyLogic AI - https://www.anylogic.com/features/artificial-intelligence/
#Simulation #MachineLearning #LyleWallis #AnyLogic
Видео Integrating Artificial Intelligence with Simulation Modeling канала AnyLogic
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Next gen AI: Agent-based simulation + Reinforcement LearningHow This Guy Uses A.I. to Create Art | Obsessed | WIREDBetter, faster, and cheaper drug discovery with machine learning by AstraZenecaHow Far is Too Far? | The Age of A.I.The incredible inventions of intuitive AI | Maurice ContiArtificial Intelligence: it will kill us | Jay Tuck | TEDxHamburgSalonArtificial Intelligence and the Future of Business | Hans-Christian Boos | TEDxWHUWhat is AnyLogic Simulation Software?Where AI is today and where it's going. | Richard Socher | TEDxSanFranciscoAI Learns To Dominate A Virtual MarketPwC - Doing strategy through simulation, gaming, AI, and continuous executionA practical guide to integrating artificial intelligence ethics I Cansu CancaMonitoring models in production - Jannes KlaasHow Well Can an AI Learn Physics? ⚛Molecular Simulations by Dr Martin Karplus - Science in the Age of Experience - Dassault SystèmesPwC Simulating innovative and disruptive business strategiesThe Art of Climate Modeling Lecture 09a - Parameterizations Part 1AnyLogic Training CourseTraining AI Without Writing A Reward Function, with Reward ModellingAI and Future of Work: Intelligent Automation: Opportunities and Challenges