This video describes about the types of agents in Artificial Intelligence
Feedback >>AuthorsNicolas Fatras1,2, Zheng Ma1, Bo Nørregaard Jørgensen1Affiliations 1SDU Center for Energy Informatics, The Maersk Mc-Kinney Moller Institute, Universi...
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Feedback >>This is a second in a series of videos on Agent Based Models in R. This video goes over initial transitions though time for a two state epidemiology model. ...
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Feedback >>In this chalk talk, Dr. Venkat Ramadesigan from IIT Bombay, India explores the application of Physics-based Models to Electrochemical Storage and Conversion ...
Feedback >>These videos are from the Introduction to Agent Based Modeling course on Complexity Explorer (complexityexplorer ) taught by Prof. Bill Rand. This course ...
Feedback >>This lecture was delivered by Stanford Graduate School of Business Professor Yuliy Sannikov during the 2018 Princeton Initiative—a summer program hosted in P...
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Feedback >>A video of Dr Berit Erlach explaining energy system modeling in everyday terms. Filmed 9 June 2019 in Berlin, Germany.The Energy Systems of the Future (ESYS...
Feedback >>This talk will provide an overview of the Federal Reserve Bank of New York''s heterogeneous agent dynamic stochastic general equilibrium (DSGE) model developm...
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Feedback >>Gravity energy storage is not actually a new concept. We''ve been doing it with pumped hydro for more than a century. But that''s very expensive to build and n...
Feedback >>This video walks you through a process for using GPT-4 to build agent-based models in Netlogo
Feedback >>The modeling examples in this video are systems where assignment of causality on the bond graph shows all energy storage elements have integral causality.
Feedback >>In this video, I walk you through my new Self Storage Acquisition Model. This is a robust, institutional-quality model that handles a variety of core and val...
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Feedback >>These videos are from the Introduction to Agent Based Modeling course on Complexity Explorer (complexityexplorer ) taught by Prof. Bill Rand. This course ...
Feedback >>In software update 2022.36.2, the energy graph has been redesigned to give the user more information about energy usage and efficiency. I go over the new gr...
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Feedback >>In this video, we will understand model-based reflex agents as part of the GATE Data Science and AI course. We''ll understand how the world evolves independen...
Feedback >>This is part one of a three part series that details the Energy Policy Simulator (EPS). In this video, our team introduces the EPS, walks through how to use ...
Feedback >>A short introduction to the AMIRIS agent‑based electricity market model.Felix Nitsch (German Aerospace Center (DLR)) presented this lightning talk to the in-...
Feedback >>Discover the Innovative Future of Energy Storage: Learn about Thermal Batteries. In this video, uncover the science behind thermal batteries, from the workin...
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Feedback >>We are excited to announce the release of Arcee Agent, a cutting-edge 7B parameter language model designed specifically for function calling and tool use. In...
Feedback >>This video walks you through a process for using GPT-4 to build agent-based models in Netlogo
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Feedback >>#7 Old EV batteries are being repurposed for energy storage solutions, driven by the growing demand for renewable energy and grid flexibility. Rather than re...
Feedback >>In part one, we look at a model with the potential for Moral Hazard (Hidden Actions) that might hurt the Principal), but first assume that you can observe th...
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Feedback >>Presenter: Claudio A. CañizaresF. Calero et al., "A Review of Modeling and Applications of Energy Storage Systems in Power Grids," in Proceedings of the IEEE...
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Feedback >>This is the first in a series of videos where we introduce the idea of an Agent Based Model (ABM) in the context of the Covid-19 dataset.
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