What is it about?

We examined a search space of 1.7 million Tetris Machine Models to determine if the behavior of the best longest playing model (play until they die -- in some case > 125,000 Tetris zoids) differs from the best short distance Machine Models (play 506 Tetris pieces). The Hare models (i.e., the fast but short distance runners) adapted more human-like strategies in making more 4-line and 3-line clearing placements. In contract, the long distance, Tortoise, Machine Models almost always cleared 1-line at a time and pretty much never cleared 3-lines or 4-lines at once.

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Why is it important?

The best tortoise models adopt an endurance strategy which emphasizes single-line over multi-line clears. The best hare models adopt an escalation strategy which stresses multi-line clears. In contrast, our human players tend to adopt the escalation strategy early in their game but switch to the endurance strategy as speed demands increase.

Perspectives

Slow and steady wins the race, but the best performers may be those who know when to change their strategies. The differences in scores between our best tortoise and best hare model players (MPs) may be the most dramatic outcome of this work, but it is far from the most important. We see our contribution in terms of six bullets which we list in order of their INCREASING RELEVANCE TO HUMAN BEHAVIOR; namely, 1. the ability of small changes in the test environment (i.e., different random seeds for generating sequences of 7 numbers) to produce large changes in performance, 2. the failure to find one model (i.e., one set of six feature weights) that could override the importance of random number generation on zoid sequence (see AppendixA1), 3. the emergence of two different strategies for sequential decision-making, endurance for the tortoise models and escalation for the hares, and the consistency of those strategies across multiple environments, 4. the identification of endurance and escalation strategies in human behavior, 5. the finding that the endurance strategy is favored by less experienced HPs and the escalation strategy favored by our most experienced HPs (see our Table 9), and 6. the additional finding that even our very best human players switch to an endurance strategy when they reach the limits of their expertise (see our Fig. 3)

Professor Wayne D. Gray
Rensselaer Polytechnic Institute

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This page is a summary of: The Tortoise and the Hare: Understanding the Influence of Sequence Length and Variability on Decision-Making in Skilled Performance, Computational Brain & Behavior, November 2018, Springer Science + Business Media,
DOI: 10.1007/s42113-018-0014-4.
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