Skip to main content

Dynamic Multiple Goals Optimization in Behavior Mechanism

  • Conference paper
Multi-Objective Programming and Goal Programming

Part of the book series: Advances in Soft Computing ((AINSC,volume 21))

  • 1113 Accesses

Abstract

There exists a behavior mechanism which continuously allocates our attention to various events. Broadly classified, there are seven goals in our life: survival and security, perpetuation of the species, feelings of self-importance, social approval, sensuous gratification, cognitive consistency and curiosity, and self-actualization. For each goal, there is an ideal value or equilibrium point to pursue and/or maintain. If there is a significant discrepancy of current status from the ideal or equilibrium point, a charge (mental pressure) will be produced. At any moment, the totality of all charges created by all goals from all events is called “the charge structure” at that moment. Our mind will try to allocate the attention and resources to reduce the charge to a minimum level. The goals that catch our attention are awakened; otherwise unawakened. The priority for the goals to get our attention follows a dynamic scheme of multiple goals optimization. In this paper, we shall describe and illustrate the dynamic multiple goals optimization, a basic framework of behavior mechanism. Applications to vast decision making problems, especially the challenging ones, will also be mentioned. The mechanism will open up our minds as to make decisions more effectively.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chan, S. J. and Yu, P. L., “Stable Habitual Domains- Existence and Implications”, Journal of Mathematical Analysis and Applications, Vol. 110, No. 2, pp. 469–482, September 1985.

    Article  MathSciNet  MATH  Google Scholar 

  2. Yu, P. L., Forming Winning Strategies — An Integrated Theory of Habitual Domains, Springer-Verlag, Berlin, Heidelberg, New York, 1990 (392 pages).

    Google Scholar 

  3. Yu, P. L., Habitual Domains, Operations Research, Vol. 39, No. 6, pp. 869–876, 1991

    Article  Google Scholar 

  4. Yu, P. L., Habitual Domains and Forming Winning Strategies, NCTU Press, Hsin-Chu, Taiwan, 2002 (550 pages).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yu, P.L., Chianglin, C.Y. (2003). Dynamic Multiple Goals Optimization in Behavior Mechanism. In: Multi-Objective Programming and Goal Programming. Advances in Soft Computing, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36510-5_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-36510-5_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00653-4

  • Online ISBN: 978-3-540-36510-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics