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Introduction to Biological Inspiration for Intelligent Systems

Published: 19 August 2008 Publication History

Abstract

This paper serves as a short introduction for the special PerMIS session on Biological Inspiration (BI) for Intelligent Systems. The paper is organized into 4 parts. Part 1 provides a brief introduction to the idea and history of bio-inspiration for computation. Part 2 discusses the increased relevance of bio-understanding and presents a few examples of increased bio-understanding in cognitive areas. Part 3 provides examples of alternate focuses and levels of bio-reality that BI can take. Finally Part 4 notes some potential challenges in BI for intelligent systems.

References

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Berg-Cross, G. (2004). "Developing Rational-Empirical Views of Intelligent Adaptive Behavior" Performance Metrics for Intelligent Systems. PerMIS Proceedings 2004.
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Berg-Cross, G.; Fu W.; and Kwon A. (2004). "A Cognitive-based Agent Architecture for Autonomous Situation Analysis" Performance Metrics for Intelligent Systems. PerMIS Proceedings 2007.
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Blank, D.; Kumar, D.; and Meeden, L. (2002). Bringing up robot: Fundamental mechanisms for creating a self motivating, self-organizing architecture. In Proc. of the Growing Up Artifacts that Live workshop at Simulation of Adaptive Behavior 2002.
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Coates, Christopher; (2007); "The Air Force 'In Silico' -- Computational Biology in 2025, DTEC Report No.(s): AD-A474845; Nov 2007; 49 pp. de Castro, L. N. and Von Zuben, F. J. (2004) Recent Developments in Biologically Inspired Computing, Idea Group Publishing. Dean J. (1998) "Animats and what they can tell us." Trends in Cognitive Sciences 2(2):60--67.
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Gunning D. (2005) "Biologically-Inspired Cognitive Architectures" (BICA)
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McCulloch, W. S. and Pitts, W. H. (1943). "A logical calculus of the ideas immanent in nervous activity." Bulletin of Mathematical Biophysics, 5:115--133.
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Nolfi, N., Ikegami, T. and Tani, J., "Behavior as a Complex Adaptive System: On the role of Self-Organization in the Development of Individual and Collective Behavior", Adaptive Behavior, Vol. 16, No. 2--3, 101--103 (2008)
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Schlesinger, M., Amso, D. & Johnson S. (2007) Simulating Infants' Gaze Patterns during the Development of Perceptual Completion., Proceedings of the Seventh International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems. Lund University Cognitive Studies, 135.
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Toates, F., (2006) "A model of the hierarchy of behaviour, cognition, and consciousness.", Consciousness and Cognition, Mar; 15(1):75--118.Torres-Huitzil, C., Girau B. and Castellanos-Sanchez, D., (2005) "Digital Implementation of a Bio-inspired Neural Model for Motion Estimation", International Joint conference on Neural Networks, IJCNN05.
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Wooley, J. C., and Lin, H. S. (2005) "Biological Inspiration for Computing." In: Catalyzing Inquiry at the Interface of Computing and Biology, Computer Science and Telecommunications Board, The National Academies Press, John C. Wooley and Herbert S. Lin, editors.

Cited By

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  • (2010)Decision-Making in Cognitive Tutoring SystemsAdvances in Intelligent Tutoring Systems10.1007/978-3-642-14363-2_8(145-179)Online publication date: 2010
  • (2009)Issues in Applying Bio-Inspiration, Cognitive Critical Mass and Developmental-Inspired Principles to Advanced Intelligent SystemsPerformance Evaluation and Benchmarking of Intelligent Systems10.1007/978-1-4419-0492-8_4(67-92)Online publication date: 28-Aug-2009
  • (2008)Applying developmental-inspired principles to the field of developmental roboticsProceedings of the 8th Workshop on Performance Metrics for Intelligent Systems10.1145/1774674.1774720(288-292)Online publication date: 19-Aug-2008

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cover image ACM Other conferences
PerMIS '08: Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems
August 2008
333 pages
ISBN:9781605582931
DOI:10.1145/1774674
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • NIST: National Institute of Standards & Technology

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 August 2008

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Author Tags

  1. biological inspiration
  2. developmental robotics
  3. dual cognitive systems
  4. intelligent systems

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PerMIS '08
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  • NIST
PerMIS '08: Performance Metrics for Intelligent Systems
August 19 - 21, 2008
Maryland, Gaithersburg

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Cited By

View all
  • (2010)Decision-Making in Cognitive Tutoring SystemsAdvances in Intelligent Tutoring Systems10.1007/978-3-642-14363-2_8(145-179)Online publication date: 2010
  • (2009)Issues in Applying Bio-Inspiration, Cognitive Critical Mass and Developmental-Inspired Principles to Advanced Intelligent SystemsPerformance Evaluation and Benchmarking of Intelligent Systems10.1007/978-1-4419-0492-8_4(67-92)Online publication date: 28-Aug-2009
  • (2008)Applying developmental-inspired principles to the field of developmental roboticsProceedings of the 8th Workshop on Performance Metrics for Intelligent Systems10.1145/1774674.1774720(288-292)Online publication date: 19-Aug-2008

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