Results 11 to 20 of about 153,398 (285)
Modern technologies of teaching economics in the context of the principles of sustainable development [PDF]
E3S Web of Conferences, 2021 Currently, a new concept of education is being actively formed as a factor in observing the principle of sustainable development. Sustainable development goals can be achieved by an active and dynamic society that cannot be formed in traditional ...
Kivarina Mariya
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PLoS ONE, 2023 In the innovation ecosystem, the knowledge-based game behavior of each subject not only pertains to its own survival and development but also affects evolution of the innovation ecosystem.
Mengke Zhang +3 more
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Playing with Numbers: The Social and Behavioural Impacts of Using a Card Game to Teach Business Metrics [PDF]
Behavioral SciencesThis study investigated the social and behavioural impacts of employing a card game designed to support the teaching of business metrics through active peer-to-peer engagement, contrasting with traditional passive lectures.
Ruth Smith, Elaine Conway
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Unexploitable Games and Unbeatable Strategies
IEEE Access, 2023 Imitation is simple behavior which uses successful actions of others in order to deal with one’s own problems. Because success of imitation generally depends on whether profit of an imitating agent coincides with those of other agents or not, game
Masahiko Ueda
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Imitation and the Transcendent
Teologisk Tidsskrift, 2021 Imitation stems from the originary term mimesis. Imitation can be seen as a desire, something one wishes to approbate, or it may be seen as a representation of reality.
Per Bjørnar Grande
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CoRR, 2023 The use of blockchains for automated and adversarial trading has become commonplace. However, due to the transparent nature of blockchains, an adversary is able to observe any pending, not-yet-mined transactions, along with their execution logic. This transparency further enables a new type of adversary, which copies and front-runs profitable pending ...
Kaihua Qin +5 more
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Deep Reinforcement Learning Task Assignment Based on Domain Knowledge
IEEE Access, 2022 Deep Reinforcement Learning (DRL) methods are inefficient in the initial strategy exploration process due to the huge state space and action space in large-scale complex scenarios.
Jiayi Liu +4 more
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Do people imitate when making decisions? Evidence from a spatial Prisoner’s Dilemma experiment [PDF]
Royal Society Open Science, 2020 How do people decide which action to take? This question is best answered using Game Theory, which has proposed a series of decision-making mechanisms that people potentially use. In network simulations, wherein games are repeated and pay-off differences
Jelena Grujić, Tom Lenaerts
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Biosimilars: Imitation Games [PDF]
ACS Medicinal Chemistry Letters, 2017 Biopharmaceutical sales were at $160 billion in 2016. With many top revenue biopharmaceuticals coming off patent in the next 4 years, there is a tremendous rush by leading biopharmaceutical companies worldwide to launch biosimilar versions of innovator products. However, these protein drugs are extremely difficult to copy.
Hussain Dahodwala, Susan T. Sharfstein
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Imitation in the Imitation Game [PDF]
SSRN Electronic Journal, 2017 We discuss the objectives of automation equipped with non-trivial decision making, or creating artificial intelligence, in the financial markets and provide a possible alternative. Intelligence might be an unintended consequence of curiosity left to roam free, best exemplified by a frolicking infant.
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