T. Samad's A natural language interface for computer aided design PDF

By T. Samad

ISBN-10: 089838222X

ISBN-13: 9780898382228

The arrival of machine aided layout and the proliferation of desktop aided layout instruments were instrumental in furthering the state-of-the­ artwork in built-in circuitry. carrying on with this growth, despite the fact that, calls for an emphasis on growing simple environments that facilitate the interplay among the fashion designer and the CAD device. the belief of this truth has caused investigations into the appropriateness for CAD of a couple of user-interface applied sciences. One kind of interface that has hitherto no longer been thought of is the common language interface. it's our rivalry that common language interfaces may perhaps resolve a number of the difficulties posed through the expanding quantity and class of CAD instruments. This thesis represents step one in a examine attempt directed in the direction of the eventual improvement of a normal language interface for the area of computing device aided layout. The breadth and complexity of the CAD area renders the duty of constructing a typical language interface for the total area past the scope of a unmarried doctoral thesis. accordingly, we've got initally focussed on a sub-domain of CAD. in particular, we've got built a ordinary language interface, named Cleopatra, for circuit-simulation post-processing. In different phrases, with Cleopatra a circuit-designer can extract and manage, in English, values from the output of a circuit-simulator (currently SPICE) with out manually having to head during the output documents produced by means of the simulator.

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Further evaluation tests concerning scalability of the evolved solutions have shown that controllers evolved for groups of four can successfully bring forth aggregation in groups with a higher number of (up to 40 The best scalable strategy was the one in which the controller creates an aggregate that moves across the arena. This is a result of the complex motion of within the aggregate, which in turn is the result of the interaction between attraction to sound sources and repulsion from other robots.

The error bars indicate 95% confidence intervals. We can also begin to answer the question of why behavioral diversity might be useful to a robot team (or swarm)? Our work and others’ has shown that diversity becomes important when one or more of the following conditions exist [1, 8]: When individual robots cannot perceive the entire operating environment by themselves. When individual robots do not have enough program memory to hold an entire solution for the task. When communication bandwidth between robots is limited or it suffers from delays.

In separate research, the performance of three different hand-coded systems was also evaluated [1]; performance of the best hand-coded system (a homogeneous strategy) is included in the graph for comparison). The plot shows that, of the learning strategies, local performance-based and heuristic (shaped) reinforcement systems perform best. Performance in the globally reinforced system is worse than the other learning teams. Note that the performance plots for teams using local and shaped rewards are nearly identical and that one’s confidence interval overlaps the other’s mean value.

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A natural language interface for computer aided design by T. Samad


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