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The main idea of the Simulation Argument, as proposed by Nick Bostrom is that “if we don’t think that we are currently living in a computer simulation, we are not entitled to believe that we will have descendants who will run lots of such simulations of their forebears.” | The main idea of the Simulation Argument, as proposed by Nick Bostrom is that “if we don’t think that we are currently living in a computer simulation, we are not entitled to believe that we will have descendants who will run lots of such simulations of their forebears.” | ||
This idea was further developed in the works of Robin Hanson and Barry Dainton. In his paper How to Live in a Simulation Hanson gives some recommendations on optimal behaviour for people who believe that they might be living in a simulation. Unfortunately, his ideas are based on the wrong premises (as will be shown in this paper) and his suggestions are far from rational and effective. For example, at one place Hanson speculates that “simulations [might] tend to be ended when enough people in them become confident enough that they live in a simulation” and therefore “you might want to prevent too many others learning that they live in a simulation”. This is nothing more than a random speculation, demonstrating disregard for likelihood, internal consistency and rationality of the hypotheses. It could very well be possible that when enough people realise that they live in a simulation, they will be taken to the real world and simulation will be stopped. Later Hanson suggests that seeking people who might be visitors from the outside and making them interested in you can be beneficial. He completely ignores a just as likely possibility that our world is a GTA | This idea was further developed in the works of Robin Hanson and Barry Dainton. In his paper How to Live in a Simulation Hanson gives some recommendations on optimal behaviour for people who believe that they might be living in a simulation. Unfortunately, his ideas are based on the wrong premises (as will be shown in this paper) and his suggestions are far from rational and effective. For example, at one place Hanson speculates that “simulations [might] tend to be ended when enough people in them become confident enough that they live in a simulation” and therefore “you might want to prevent too many others learning that they live in a simulation”. This is nothing more than a random speculation, demonstrating disregard for likelihood, internal consistency and rationality of the hypotheses. It could very well be possible that when enough people realise that they live in a simulation, they will be taken to the real world and simulation will be stopped. Later Hanson suggests that seeking people who might be visitors from the outside and making them interested in you can be beneficial. He completely ignores a just as likely possibility that our world is a GTA<ref>Player in GTA (Grand Theft Auto) game series usually drives or runs around the city, causing mayhem and destruction to the inhabitants of the city, killing pedestrians and shooting policemen (www.grandtheftauto.com).</ref> -like game. Such speculations clearly have no use except to satisfy people’s curiosity and entertain them. | ||
In Innocence Lost: Simulation Scenarios: Prospects and Consequences Barry Dainton introduces several new concepts, such as different modes of virtual life. Then he makes the simulation argument in a way similar to Are You Living In a Computer Simulation?, making the same mistakes. In the end of the article he discusses several possible ethical arguments against our simulation: | In Innocence Lost: Simulation Scenarios: Prospects and Consequences Barry Dainton introduces several new concepts, such as different modes of virtual life. Then he makes the simulation argument in a way similar to Are You Living In a Computer Simulation?, making the same mistakes. In the end of the article he discusses several possible ethical arguments against our simulation: |