Human-like Heuristics in Scrabble
A Gonzalez Romero, R Alquezar… - Artificial Intelligence …, 2009 - ebooks.iospress.nl
… In this paper we recall a second heuristic from [6] and propose a third heuristic for the late …
heuristic used by the Scrabble engine Heuri, that we will call from now on the Default heuristic…
heuristic used by the Scrabble engine Heuri, that we will call from now on the Default heuristic…
A novel computer Scrabble engine based on probability that performs at championship leve
A González Romero - 2022 - upcommons.upc.edu
… probabilistic heuristic to play Scrabble, leading to the construction of Heuri which is a Scrabble
… Finally some words of motivation and explanation about our human-like Scrabble engine, …
… Finally some words of motivation and explanation about our human-like Scrabble engine, …
A scrabble heuristic based on probability that performs at championship level
A Ramírez, FG Acuña, AG Romero, R Alquézar… - MICAI 2009: Advances …, 2009 - Springer
… To make proper investigations in the domain of Scrabble it is … paper a heuristic function that
involves leaves probabilities is given. We have now an engine, Heuri, that uses this heuristic, …
involves leaves probabilities is given. We have now an engine, Heuri, that uses this heuristic, …
[PDF][PDF] Advantage of Initiative Revisited: A case study using Scrabble AI
HPP Aung, H Iida - 2018 - meral.edu.mm
… that the performance level is perfect or human-like (beginners to grandmasters). … of heuristic
is to find the best matching solution of the original answer, Maven uses four main heuristics …
is to find the best matching solution of the original answer, Maven uses four main heuristics …
Evaluation Function Approximation for Scrabble
R Agarwal - arXiv preprint arXiv:1901.08728, 2019 - arxiv.org
… followed by sorting using some simple heuristics. The most promising moves among these
… play the best move based on the aforementioned heuristics. The move which is evaluated to …
… play the best move based on the aforementioned heuristics. The move which is evaluated to …
The games computers (and people) play
J Schaeffer - Advances in computers, 2000 - Elsevier
… (8 • 8 draughts), Othello 1 and Scrabble 2 programs would exist that … applicationdependent
knowledge and heuristics to come up … At the leaves of the tree are the heuristic values. These …
knowledge and heuristics to come up … At the leaves of the tree are the heuristic values. These …
Can we save near-dying games? An approach using advantage of initiative and game refinement measures
H Aung, M Khalid - Proceedings of the 1st International Conference on …, 2019 - eudl.eu
… as possible, or human-like (or a particular human), with respect to some other property [20]. …
complex and efficient heuristics. Currently, Maven and Quackle are the leading Scrabble AIs, …
complex and efficient heuristics. Currently, Maven and Quackle are the leading Scrabble AIs, …
Monte-carlo tree search: A new framework for game ai
… In our demonstration, we will show that MCTS outperforms previous heuristic game … game
AI is expected to behave realistically (ie, ‘human-like’). When implementing AI in video games, …
AI is expected to behave realistically (ie, ‘human-like’). When implementing AI in video games, …
Checkers is solved
… Human-like strategies are not necessarily the best … longer) uses Chinook to determine a
heuristic value for the position (alpha… a heuristic draw; demonstrating proven draws in a heuristic …
heuristic value for the position (alpha… a heuristic draw; demonstrating proven draws in a heuristic …
Multi-game playing—a challenge for computational intelligence
J Mańdziuk, YS Ong, K Waledzik - … Intelligence for Human-like …, 2013 - ieeexplore.ieee.org
In this paper, we deal with the topic of multi-game playing, ie creating agents able to
autonomously learn to play any game within some arbitrarily defined genre. We describe the …
autonomously learn to play any game within some arbitrarily defined genre. We describe the …