DIS-NNLGSOC-PHGNOct 18, 2013

Explore or exploit? A generic model and an exactly solvable case

arXiv:1310.5114v330 citations
Originality Incremental advance
AI Analysis

This work addresses a fundamental trade-off in decision-making processes relevant to fields like economics, evolution, and materials science, though it appears incremental as it builds on existing exploration-exploitation concepts.

The authors tackled the general problem of balancing exploration and exploitation across various disciplines by proposing a stylized model and solving it exactly for tree-like geometries, proving the existence of an optimal migration rate, with numerical simulations in one-dimensional cases confirming this optimum.

Finding a good compromise between the exploitation of known resources and the exploration of unknown, but potentially more profitable choices, is a general problem, which arises in many different scientific disciplines. We propose a stylized model for these exploration-exploitation situations, including population or economic growth, portfolio optimisation, evolutionary dynamics, or the problem of optimal pinning of vortices or dislocations in disordered materials. We find the exact growth rate of this model for tree-like geometries and prove the existence of an optimal migration rate in this case. Numerical simulations in the one-dimensional case confirm the generic existence of an optimum.

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The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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