The Tower of London
Andreas M. Hinz,
Sandi Klavžar and
Ciril Petr
Additional contact information
Andreas M. Hinz: LMU München, Faculty of Mathematics, Computer Science and Statistics
Sandi Klavžar: University of Ljubljana, Faculty of Mathematics and Physics
Ciril Petr: University of Maribor, Faculty of Natural Sciences and Mathematics
Chapter Chapter 7 in The Tower of Hanoi – Myths and Maths, 2018, pp 301-313 from Springer
Abstract:
Abstract The Tower of London (TL) was invented in 1982 by Shallice [379] and has received an astonishing attention in the psychology of problem solving and in neuropsychology. Just for an illustration, we point out that in the paper [208], which sets up the mathematical framework for the TL, no less than 79 references are listed! The success of the TL is due to the fact that on one hand it is an easy-to-observe psychological test tool, while on the other hand it can be applied in different situations and for numerous clinical goals. It is hence not surprising that several additional variations of the TL were proposed to which we will turn in Section 7.2. Here we only mention the Tower of Oxford introduced by G. Ward and A. Allport in [430] and named in [208, p. 2936], but which is mathematically the same puzzle as the TH without the divine rule or either the Bottleneck TH with maximal discrepancy.
Date: 2018
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-73779-9_8
Ordering information: This item can be ordered from
http://www.springer.com/9783319737799
DOI: 10.1007/978-3-319-73779-9_8
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().