Solving tangram puzzles: A connectionist approach
نویسنده
چکیده
We present a connectionist approach for solving Tangram puzzles. Tangram is an ancient Chinese puzzle where the object is to decompose a given figure into seven basic geometric figures. One connectionist approach models Tangram pieces and their possible placements and orientations as connectionist neuron units which receive excitatory connections from input units defining the puzzle and lateral inhibitory connections from competing or conflicting units. The network of these connectionist units, operating as a Boltzmann Machine, relaxes into a configuration in which units defining the solution receive no inhibitory input from other units. We present results from an implementation of our model using the Rochester Connectionist Simulator.
منابع مشابه
A multimodal approach to coding discourse: Collaboration, distributed cognition, and geometric reasoning
Our research aims to identify children’s communicative strategies when faced with the task of solving a geometric puzzle in CSCL contexts. We investigated how to identify and trace distributed cognition in problem-solving interactions based on discursive cohesion to objects, participants, and prior discursive content, and geometric and cooperative concepts. We report on the development of a met...
متن کاملThe Convex Configurations of "Sei Shonagon Chie no Ita" and Other Dissection Puzzles
The tangram and Sei Shōnagon Chie no Ita are popular dissection puzzles consisting of seven pieces. Each puzzle can be formed by identifying edges from sixteen identical right isosceles triangles. It is known that the tangram can form 13 convex polygons. We show that Sei Shōnagon Chie no Ita can form 16 convex polygons, propose a new puzzle that can form 19, no 7 piece puzzle can form 20, and 1...
متن کاملThe Convex Configurations of "Sei Shonagon Chie no Ita, " Tangram, and Other Silhouette Puzzles with Seven Pieces
متن کامل
The impact of using problem-solving puzzles on Iranian intermediate EFL learners' lexical knowledge
This study tried to investigate the impact of using problem-solving puzzles onIranian Intermediate EFL learners' lexical knowledge. At first a homogenoussample of 30 Intermediate EFL learners attending in the third grade of Shahedhigh school in Lahijan were selected and they were randomly divided into twogroups, as experimental group and control group. In the first session, the pretestwas admin...
متن کاملSolving nonogram puzzles by reinforcement learning
We study solvers of nonogram puzzles, which are good examples of constraint-satisfaction problems. Given an optimal solving module for solving a given line, we compare performance of three algorithmic solvers used to select the order in which to solve lines with a reinforcement-learningbased solver. The reinforcement-learning (RL) solver uses a measure of reduction of distance to goal as a rewa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Int. J. Intell. Syst.
دوره 8 شماره
صفحات -
تاریخ انتشار 1993