Abstract
Free will is an important component of consciousness. Modeling an artificial consciousness requires clarifying the significance and the definition of free will. This study proposes a definition of free will similar to the epsilon-delta definition of continuous space (e.g., real numbers). Selection capability and frame expanding potential (i.e., the ability to allow for the exploration of further options), which are significant functions of free will, are discussed in the problem-solving context. We also propose a Turing test with multiple agents in which the intelligence of humans and machines will be relatively scored based on chats in a mixed community of humans and machines. Agents (machines) fail in the multiple agents Turing test because they lack the ability to evaluate chats with another agent, as well as chats between two other agents.
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