Download PDF by Dr. Ben Goertzel: Artificial general intelligence

By Dr. Ben Goertzel

ISBN-10: 3642062679

ISBN-13: 9783642062674

This is often the 1st ebook on present learn on man made common intelligence (AGI), paintings explicitly excited by engineering basic intelligence – self sustaining, self-reflective, self-improving, commonsensical intelligence. every one writer explains a selected element of AGI intimately in every one bankruptcy, whereas additionally investigating the typical topics within the paintings of numerous teams, and posing the massive, open questions during this very important area.
This booklet willbe of curiosity to researchers and scholars who require a coherent remedy of AGI and the relationships among AI and comparable fields reminiscent of physics, philosophy, neuroscience, linguistics, psychology, biology, sociology, anthropology and engineering.

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None of the agents individually are all that clever, but the population of agents as a whole can demonstrate some interesting collective behaviors, even in the initial, relatively simplistic 26 Pennachin and Goertzel implementation. The agents communicate their knowledge about resources in different points of the environment, thus leading to the emergence of adaptive behavior. 9 Integrative Approaches We have discussed a number of different approaches to AGI, each of which has – at least based on a cursory analysis – strengths and weaknesses compared to the others.

For this reason, intelligence cannot be defined in terms of other ill-defined concepts, such as mind, thinking, cognition, intentionality, rationality, wisdom, consciousness, and so on, though these concepts do have close relationships with intelligence. Fruitfulness (and instructiveness). The working definition should provide concrete guidelines for the research based on it – for instance, what assumptions can be accepted, what phenomena can be ignored, what properties are desired, and so on. Most importantly, the working definition of intelligence should contribute to the solving of fundamental problems in AI.

Another approach, however, is to consider sociality at a more fundamental level, and to create systems from the get-go that are at least as social as they are intelligent. One example of this sort of approach is Steve Grand’s neural-net architecture as embodied in the Creatures game [24]. His neural net based creatures are intended to grow more intelligent by interacting with each other – struggling with each other, learning to outsmart each other, and so forth. John Holland’s classifier systems [30] are another example of a multi-agent system in which competition and cooperation are both present.

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Artificial general intelligence by Dr. Ben Goertzel

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