This study aims at investigating the psychological approach and translation analysis of the novel genre. For this purpose, the English version of "Othello" is compared with its Persian translation. At first, this study surveys the ST from psychological point of view. Second, it compares the ST with its translation. In this regard, the study focuses on the stylistic and semantic analysis of the ...

The soft computing approach for gaming is different from the traditional one that exploits knowledge of the opening, middle, and endgame stages. It is aims to evolve efficiently some simple heuristics that can be created easily from the basic knowledge of the game. Integrating sphere knowledge into soft computation can enhance the performance of evolved algorithmic methodologies and quicken the...

This study investigated the translation strategies of culture-specific items in translation of 'Othello' by William Shakespeare into Persian by Abdolhossein Nooshin. First, the English culture-specific items and their corresponding translations were identified. Then, the frequency of the strategies used by the translator according to Newmark's translation model and Venuti's domestication and fo...

Here we present the algorithms and extensions that produced our successful Othello-playing program, which finished among the top five programs of this year’s Othello tournament. Specifically, we discuss a variety of search algorithms and extensions, as well as our algorithms for adaptive timemanagement, our efficient ‘bit board’ data structure, our features comprising our evaluation function, o...

Genes involved in a viral resistance response in common bean (Phaseolus vulgaris cv. Othello) were identified by inoculating a geminivirus reporter (Bean dwarf mosaic virus expressing the green fluorescent protein), extracting RNA from tissue undergoing the defense response, and amplifying sequences with degenerate R gene primers. One such gene (a TIR-NBS-LRR gene, RT4-4) was selected for funct...

This article discusses automatic strategy acquisition for the game \Othello" based on reinforcement learning. In our approach, two computer players initially know only the game rules, but they become relatively stronger after playing several thousands of games against each other. In each game, the players re ne the evaluation function for the game state, which is achieved in a reinforcement lea...