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Understanding intelligence
Abstract
From the Publisher: Researchers now agree that intelligence always manifests itself in behavior - thus it is behavior that we must understand. An exciting field has grown around the study of intelligence, also known as embodied cognitive science, new AI, and behavior-based AI.. Rolf Pfeifer and Christian Scheier provide a systematic introduction to this way of thinking about intelligence and computers. After discussing concepts and approaches such as subsumption architecture, Braitenberg vehicles, evolutionary robotics, artificial life, self-organization, and learning, the authors derive a set of principles and a coherent framework for the study of naturally and artificially intelligent systems, or autonomous agents. This framework is based on a synthetic methodology whose goal is understanding by designing and building.
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Citations
Cited by
Cognitive radio: brain-empowered wireless communications
Haykin, S. (2005) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2004.839380 · Cited by 11,916
Six views of embodied cognition
Wilson, M. (2002) · Psychonomic Bulletin & Review · doi:10.3758/bf03196322 · Cited by 4,782
Multiple View Geometry in Computer Vision
(2001) · Kybernetes · doi:10.1108/k.2001.30.9_10.1333.2 · Cited by 3,336
A sensorimotor account of vision and visual consciousness
O'Regan, J. K., & Noë, A. (2001) · Behavioral and Brain Sciences · doi:10.1017/s0140525x01000115 · Cited by 3,126
Socially intelligent robots: Dimensions of human-robot interaction
Dautenhahn, K. (2007) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2006.2004 · Cited by 1,210
Metadata
- Venue
- Choice Reviews Online
- Publisher
- American Library Association
- Published
- 1991-09-01
- Volume
- 29
- Issue
- 01
- Pages
- 29-0605-29-0605
- ISSN
- 0009-4978 (ISSN-L)
- 1523-8253
- OpenAlex
- W2339009915
- Cited by
- 1,284
- References
- 0
- Type
- book review
- Language
- en
- Open access
- closed
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- Understanding intelligence. (1991). Choice Reviews Online. https://doi.org/10.5860/choice.29-0605
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.