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Goldsmiths - University of London

HeX and the single anthill: playing games with Aunt Hillary

Bishop, Mark (J. M.); Nasuto, S.J.; Tanay, T.; Roesch, E. B and Spencer, M.C.. 2014. HeX and the single anthill: playing games with Aunt Hillary. In: Vincent Muller, ed. Philosophy and Theory of Artificial Intelligence. Springer Berlin Heidelberg. [Book Section] (Forthcoming)

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Abstract or Description

In a reflective and richly entertaining piece from 1979, Doug Hofstadter playfully imagined a conversation between ‘Achilles’ and an anthill (the eponymous ‘Aunt Hillary’), in which he famously explored many ideas and themes related to cognition and consciousness. For Hofstadter, the anthill is able to carry on a conversation because the ants that compose it play roughly the same role that neurons play in human languaging; unfortunately, Hofstadter’s work is notably short on de- tail suggesting how this magic might be achieved1. Conversely in this paper - finally reifying Hofstadter’s imagination - we demonstrate how populations of simple ant-like creatures can be organised to solve complex problems; problems that involve the use of forward planning and strategy. Specifically we will demonstrate that populations of such creatures can be configured to play a strategically strong - though tactically weak - game of HeX (a complex strategic game). We subsequently demonstrate how tactical play can be improved by introducing a form of forward planning instantiated via multiple populations of agents; a technique that can be compared to the dynamics of interacting populations of social insects via the concept of meta-population. In this way although, pace Hofstadter, we do not establish that a meta-population of ants could actually hold a conversation with Achilles, we do successfully introduce Aunt Hillary to the complex, seductive charms of HeX.

Item Type: Book Section

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
2014["eprint_fieldopt_dates_date_type_inproduction" not defined]

Item ID:

10860

Date Deposited:

06 Nov 2014 10:03

Last Modified:

20 Jun 2017 09:39

URI: http://research.gold.ac.uk/id/eprint/10860

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