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By B. Goertzel

The subject of this ebook - the construction of software program courses showing wide, deep, human-style common intelligence - is a grand and impressive one. And but it truly is faraway from a frivolous one: what the papers during this booklet illustrate is that it's a healthy and correct topic for severe technological know-how and engineering exploration. not anyone has but created a software with human-style or (even approximately) human-level common intelligence - yet we've a sufficiently wealthy highbrow toolkit that it truly is attainable to consider any such risk intimately, and make critical makes an attempt at layout, research and engineering. probability intimately, and make critical makes an attempt at layout, research and engineering. this is often the location that ended in the association of the 2006 AGIRI (Artificial common Intelligence examine Institute) workshop; and to the choice to post a ebook from contributions via the audio system on the convention. the fabric provided right here basically scratches the skin of the AGI-related R&D paintings that's taking place world wide at this second. however the editors are happy to have had the opportunity to be occupied with organizing and proposing not less than a small percent of the modern progress.

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Extra info for Advances in artificial general intelligence: concepts, architectures and algorithms

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Some sensory data coming in are ignored, while others are processed into possibly useful information, and become part of the percept that moves forward. The recall associations returned from a possibly huge episodic memory, accumulated over sometimes extremely long time periods, are also the result of a filtering process, What’s wanted is information relevant to, and important for, the agent’s current situation, including its goals. Hopefully, that’s what comes out of this filtering process so far.

An autonomous agent is a suitable vehicle for learning [8], particularly for human-like learning ([9–11]). An Agent in Its Environment So the picture I’m going to propose as the beginning of a suggested ontology for AGI research is developed from that of an agent that senses its environment and acts on it, over time, in pursuit of its own agenda. In order to do all this, it must have built in sensors with which to sense, it must have effectors with which to act, and it must have primitive motivators (which I call drives), which motivate its actions.

Nevertheless, some definitions are clearly more concise, precise and general than others. Furthermore, it is clear that many of the definitions listed above are strongly related to each other and share many common features. If we scan through the definitions pulling out commonly occurring features we find that intelligence is: x A property that an individual agent has as it interacts with its environment or environments. x Related to the agent's ability to succeed or profit with respect to some goal or objective.

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