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- W201603885 abstract "This paper is concerned with the presentation of an online cognitive mechanism for autonomous agents. The purpose of the mechanism is to allow autonomous agents, whether virtual or physical, to adapt to their environment and objectives without any external training. This is achieved through the use of their interaction with their surroundings in order to improve the level of satisfaction obtained. The mechanism is based on Darwinist principles and involves a two level concurrent operation of evolutionary processes. The first, or unconscious level, consists of evolutionary processes over models of the environment that are evaluated according to how good they are at predicting the next perceptions. This leads to a current, or conscious model, which is employed for evaluating strategies, using as fitness the level of satisfaction of the motivations of the artificial organism. Once a strategy is selected as the current one, it is carried out by means of the effectors that act on the real environment, returning a fitness measure for the evolution of the models. This cycle is repeated and, as time progresses, the models and strategies the organism works with become better adapted to the fulfillment of its motivations. This type of mechanism presents several advantages over other structures, such as its capability of obtaining original solutions and, at the same time, its capacity to make use of previous experience. In addition, if the environment changes, the mechanism will adapt efficiently." @default.
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- W201603885 date "2006-01-01" @default.
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- W201603885 title "On Line Darwinist Cognitive Mechanism for an Artificial Organism" @default.
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