History of Artificial Intelligence

When we think of Artificial Intelligence, we think it to be a fairly new concept and associate it with science fiction efforts such as "The Terminator". In actual fact, the idea of artifial intelligence stretches way back, as far as Greek mythology and the Golden Robots of Hephaestus. Through the ages, various philosophers reasoned that all rational thought could be made as systematic as algebra.


The 1930's, 40's and 50's is when AI really began to develop. There was a computer that could play an average checkers player and win. Then Arthur Turing published a paper and devised a test that stated if a machine could teletype a conversation that was indistinguishable from a conversation with a human being, it could be deemed intelligent. In 1956, at Dartmouth College, a conference on the subject was held and the official name Artificial Intelligence was given to the subject.

Through the next few decades, the development of AI was subject to harsh "winters". This was the term used when various stumbling blocks were hit in the development of AI. In the 70's and 80's, the technology experienced a number of "winters", usually in keeping with the economic climate. The advent of Expert Systems in the 80's was seen as a revival, but was followed by a "winter" when the limitations of Expert Systems were realised.

Today AI is more widely used in everyday life. Algorithms are used to aid medical diagnostics, solve banking problems and of course, AI is widely used in video games to great effect. The reason the technology has advanced seems to be mainly down to the processing power of computers today. Moores Law states that the processing power of computers doubles every two years. At this rate it has been estimated that by 2029, we will begin to see machines with humans level intelligence.

Robot Building

This week in class we did something a little bit different. We divided into groups and were each given a box which contained the parts necessary to contract a robot. We had 3 hours to complete 3 tasks:

1. Build the robot to specification
2. Make the robot move forward until it hit an object, then pick it up
3. Make the robot complete a lap of the circuit, navigating around an object

Each team had a bag of poker chips which represented the groups budget. Every 15 minutes the group would lose a chip if they hadn't reached the pre-appointed target on time. Martin Hughes acted as a concultant who could be called in, but at a cost. He also informed us beforehand that 1 piece was missing from each kit and that if the group guessed in the first 15 minutes, they would get it free. After that, it would cost a chip.

As we had a group of 4, we divided into 2 teams of 2 in order to complete the construction of the robot. This worked well and we were able to complete the robot in a relatively quick time and run the demo, which worked fine. With the next two tasks, we were not as successful, however. In order to program the robot to performt the afore-mentioned tasks, we had to use the software that was provided with the set. This proved more difficult than we imagined, and we had basically no success with either task. All the while we were losing chips until our kitty was empty. Soon after, time ran out.

After the exercise, Martin explained that he had been trying to teach us that in business, there are always problems that you dont consider. He removed one piece from the set to distract us, which it did. Also, when he was going round taking chips, he was stealing 1 or 2 extra each time. He also made us aware of the fact that we should have used the chips to call him in, and then consult with other groups. Finally, he told us that we should have broken into 2 teams from the outset - 1 for harware, 1 for software.

All in all, I found the exercise to be an enjoyable experience but also a harsh lesson in project management.

Social Networking

A Social Network is an online community of people who share a common interest such as music, sports, movies etc. Social Networking has been around longer than most people might think. The website classmates.com offered users the opportunity to keep in touch with friends from school. It wasn't until the early part of the 20th century that it really began to take off however, with the introduction of Friendster, MySpace and Bebo. These social network sites allowed users to build a page for themselves, customize it with wallpaper and video widgets and then build a database of friends and communicate with these friends through email, wall posts and instant messaging. Today there is a loarge number of social networking sites in operation, the biggest being MySpace, Facebook and Bebo.

Although originally intended for friends to keep in contact, the uses for social network sites have become far more numerous. With such high numbers becoming members of the various sites, comanies have become keen to advertise on the sites. The money receiced by the social network sites from advertising allows the admins to better develop them and encourages continuing innovation.

There have been growing privacy concerns regarding social networks. This stems from the worry that people may be divulging too much sensitive information to the site owners. This year Facebook tried to bring in legislation that would give them ownership of any material (pictures, videos etc.) that was on a certain users page, if that user decided to close their account. This was eventually blocked once members became aware of what was happening. There have also been concerns that social networks increase the risk to members by stalkers or sexual predators.

Social networking also has implications for the business world. If used correctly, one can build a network of colleagues in order to discuss issues and develop their business skills and list of contacts. Some examples of how social networks have played a part in the business world are mentioned in the link below.

http://www.bnet.com/2403-13070_23-219914.html

Cloud Computing

The next topic we covered was Cloud computing. Cloud computing is the term given to anything that involves delivering hosted services over the internet. The name "Cloud Computing" comes from the way the internet is depicted in network diagrams. Cloud computing can be broken down into 3 categories:

• Software-as-a-Service (SaaS)
• Hardware-as-a-Service (HaaS)
• Platform-as-a-Service (PaaS)

Software-as-a-Service basically offers users applications which are hosted by vendors. These include online management tools from Clarzon and Office applications from Google Docs. This allows users to upload documents to their "cloud" and then edit them as they please from any device with an internet connection. Hardware-as-a-Service is basically the selling of processing power over the internet. Users are charged based on computer cause, storage and processing power from providers such as Amazon with their EC2 service. Platform-as-a-Service allows the delivery of operating systems and associated services over the internet. This allows operating system features to be changed and upgraded frequently.

From the presentation my group compared on cloud computing, I learned that it has the potential to be a very viable technology in the future if it is developed properly. It allows smaller businesses access to processing power and software that would normally be beyond their reach. The fact that this technology is so promising has been reflected in the calibre of company that has made strides into develeoping it - IBM, Google and Amazon.

Integrated Systems

At our first CIIS lecture, the case study we looked at was the integrated statewide information systems (ISIS) project, which was undertaken by the State of Louisiana. From this case study, I learned that the State of Louisiana decided it needed a new system to comply with the increasing financial reporting requirements and to take advantage of the latest technology. This included integrating purchasing, contracts, payroll an the financial system. It began the ptocess of replacing its existing system in 1991. It was broken down into 7 phases. At the time the study was published, the State were at phase IV but had encountered numerous problems and had to call in consultants for advice on how to manage the various vendors involved in the project. The consultants produced a report that said the HR system was too fragmented and not properly finded to manage the project, and produced a list of recommendations. The State also ran into problems with its implementation of the Enterprise System. They had learned somewhat from their efforts with the legacy systems from the 1980's, but still were unprepared for the changes to management etc. that are necessary for the ES to succeed.

From my reading of the case study, I realised that the idea of having an integrated system is very attractice. Having one large database to facilitate the flow of information throughout the organization freely, allowing increased productivity, better decision making etc. However, it seems that it is much more difficult to achieve the desired effects than you would imagine. Underestimating the scope of the prject seems to be the main pitfull from my reading of this case study. If I were to be involved in undertaking such a project, I would try to make sure that extensive studies were conducted to make sure that there were no shortfalls financially and technologically and that the time frame given was realistic.