Summary of Mathematical Games by Martin Gardner

In Mathematical Games, Martin Gardner qualifies John Conway as a mathematics genius. The article begins with the recognition of Conway's talents and academic successes. The knowledgeable scholar has received accolades for his endeavors as an algorithm designer. Conways game, life is an algorithm of recreational mathematics since it employs simple rules, entertains the audience, and allows experimental exercises.

The game is fashioned in a simple manner that would seem easy for individuals of diverse tastes and capabilities. Gardner (1970) notes some possibilities as explaining the mannerisms of life. the parameters of survival and rejuvenation are defined. Counters with adjacent cells survive. Overpopulated (four or more cell) counters are discontinued. The cells that are adjacent to empty counters have their presence replaced upon any excursion of moves. Subject definitions allow the game to progress in an entertaining and challenging process.

The article addresses the games yet to be attained levels. Reportedly, Conway offered a price to any players who achieved specific results over a given time frame. The primary purpose of such move was to encourage more players. Additionally, the expectation that a challenge would improve public reception of the game thrived.

The aspect of entertainment is evident in the games exercise. The mannerisms of play qualify as entertaining besides the complex mathematical structures. Its author is reported to have described Life in a similar fashion.

In conclusion, Martin Gardner exploits the opportunity to discuss John Conway's game. The article "Mathematical Games" comprehends the potential of complex algorithms to serve non-complex needs such as entertainment. Applicable rules and functional explanations of the operations are offered to allow convenient adaptation of computer games as interactive and opportunity to enjoy an audience.

A summary of Dave Anderson and George McNeills Artificial Neural Networks Technology."

Dave Anderson and George McNeill, in Artificial Neural Networks Technology suggest that technology is the future. The heart of the publication is the subject of advanced computing technology. Future technological advancements will include the implementation of such intelligent systems as are capable of learning. The article established the benefits and stage of technology development since it reports about the progressive character of artificial neural network technology, programmer frustrations, and the need to understand its potential.

As argued by Anderson and McNeill (1992), artificial neural network technology focuses on the processes of skill acquisition. The legitimacy and capability to complete tasks are partly influenced by the backing processes. The article reports about the anticipated commercialization of technology as clarification that the technology was at a development stage during the publication.

Researchers are expected to appreciate the technology as facilitating the convenient learning of skills. The literature disowns any arguments that the intelligent approach would respond to all problems. The article discourages unchecked optimizing. Modern and future technologies face unfathomable challenges that label them as less than 'omni' solutions. The perceptions that are adopted can cause programmers much frustration, but the potential for development is undoubted.

In conclusion, the report Artificial Neural Networks Technology speaks about the development and commercialization of such intelligent systems. The depiction of such technology as applicable and within an admirable development stage is beyond doubt. The publication is certain to disenfranchise the notion that subject technology is at commercialization stage. The authors emphasize that Artificial Neural Networks Technology is a feasible solution to the question of supporting an existence of skill learning possibilities. However, the achievement of success is subject to the keen appreciation of the technology's dynamics.