PART 1:
- Describe Peter Norvig’s vision.
Peter Norvig’s vision is about making learning a social task rather than an individual task. The socialization, however, is not among people alone, but with machines or robots. In this case, it will be the socialization with computers and computer programs. Norvig is thinking of a team that is composed of robots or computers and people. In this team the people make the final decision while the robots are consulted. Both obtain as much data as possible to learn.
- How has learning changed?
Learning has changed from coming up of new ideas based from current ideas to simply obtaining more data. In other words, learning has become more child-like, where the learner simply observes, understanding comes from learning the patterns from what was being observed.
- How will the use of robots in the workplace affect the economy?
Norvig thinks that using robots will allow the economy perform better. This is because there are some points in the learning and application process that robots become more efficient at than humans. In the game of chess, for example, at firs only humans can play chess, but later on, computers can play to – even better. So this means that in the future robots will be helping humans with the economy – the two will work together; hence, there will be a huge leap in the economic efficiency.
- Explain the Bag of Words model in some detail.
The bag of words is all about finding the closest interpretation to a query. The bag of words is what data a database has. In coming words from a query – in a search engine – are matched with the words in many bags. Whichever bag resembles the words in the query the most would be the bag used for the giving of meaning to the words in the query. For example, the word bank has two meanings; therefore, there are two bags of words. A query is asked in Google. The words in the query are compared with the words on the bag, which ever bag has more match for the corresponding words in the query that bag will be definition of the queried word.
- Describe Peter Norvig’s predictions for the near future.
- How does he feel that computers and humans can interface in the best possible way?
Peter Norvig predicts that there will be socialization between computers and humans in the future. This socialization will be the means of learning for both parties. In this socialization process, the humans become the one making consultations and the one to make the final decisions on how to proceed with tasks; the computers are the consultant. Both of them learn from experience – from obtaining large amount of data and recognizing patterns in them.
PART 2:
- Language, except for Latin and the Hebrew language are always evolving – words are replaced and modified continuously, and some words just pop out of nowhere. How can search engines like Google can cope with such changes?
The changes in language also follows that there be changes in the current word meanings which may present a challenge for computers in determining the correct meaning of a query. The solution to this challenge is Peter Norvigs vision of a socialized relationship between computers and humans. Humans could conduct regular updates to word meaning on computers. From these new words and meaning a new learning ensues by observing patterns in them. It should not be construed though that old meaning should be removed from databases. The human-computer socialized relationship’s work is simply to add more bags of words to the already existing ones.
- Which model does Peter Norvig refer to that he thinks to be in error but useful?
- The Bag of Words Model
- The Tiles Model
- The Big Box Model
- The Query Model
- Which describes the interaction or relationship between computers and humans in Peter Norvig’s vision
- It is a symbiotic relationship where computers and humans benefit each other.
- It is a relationship lightens the burden among humans.
- It is a social relationship.
- All of the above.
