Virtual Communities is an increasingly common phenomenon on the Internet. Most of the Virtual Communities are operated and maintained on a non-profit basis with a direction towards entertainment. However, as more state administrated and commercial services become web-based, we believe that the number of Virtual Communities with a community-based or commercial direction will increase in a near future. In this thesis, we describe our participation in, and studies of, a number of Virtual Communities with focus on the IRC-channel ?3dfxsweden?. On the basis of our experiences, we describe the social elements that form the foundation on which the Virtual Community rely on.

In this Bachelor thesis I explore sound and room as elements in design of user interfaces, both theoretical and practical in a specific application domain, to identify some of the advantages and disadvantage associated with these elements. As application domain I studied email clients and their usage at home amongst students at Blekinge Institute of Technology. In the study I found an activity, which seems to be highly distributed in the physical room where the user is located. The activity was notification of email and could take place in an arbitrary location of the home. I then augmented this activity with ideas from my theoretical assumption about room and sound. The result was a rule-based agent for notification of email, which primarily uses sound as interaction style..

Artificiella neurala nätverk (ANN) har många användningsområden inom datavetenskap. Några av dessa är mönsterigenkänning, robotik, processkontroll, optimering och spel. Detta examensarbete kommer att handla om hur en alternativ lösning på den traditionella arkitekturen av hur ett neuralnät kan se ut. Jag kommer att undersöka om man kan ta ett stort och komplext neuralnät och bryta ned detta till mindre neuralnät utan att förlora kvaliteten på botarna i en spelmiljö kallad Open Nero. Detta för att försöka minska beräkningshastigheten av neuralnäten och förhoppningsvis även göra så botarna lär sig ett bra beteende snabbare. Mitt examensarbete kommer att visa att min lösning av arkitekturen för ett neuralt nätverk inte fungerar speciellt bra då botarna inte lärde sig tillräckligt fort.

Denna rapport jämför prestandan mellan state-of-the-art AI-botar i racing spelet TORCS och en AI-bot som kör med hjälp av ett artificiellt neuralt nätverk (ANN-bot). ANN-boten, som implementerades som en del av arbetet, använder en feedforward arkitektur och backpropagation för inlärning. Ett separat program som användes för att träna det neurala nätverket med träningdata som spelats in från TORCS implementerades också. Som state-of-the-art AI-botar användes AI-botar som har använts i en tävling. De fyra AI-botarna testades på åtta olika banor och data om hur lång tid varje varv tog och hur snabbt AI-botarna körde sparades och sammanställdes.

"Infiltration of Waldheim" är ett spel gjort av David Lindell (grafik), Andreas Persson (programmering) och Mathias Jönsson (ljud och musik). Målet vi hade med projektet var att ha en spelbar bana med minst en vapen typ samt fiender att eliminera, allt ackompanjerat med pampig musik och en massa ljudeffekter. Jag kommer i denna rapport beskriva arbetets gång samt reflektera över vad som har fungerat och vad som varit mindre bra under projektets gång. Mina planer för spelet var mest att lära mig mera om framförallt AI samt arbeta mera i 3d. Spelet ska mest vara för mig själv, men med lite putsning och mera innehåll eventuellt användas vid jobb ansökningar i framtiden..

Modern air battles are very dynamic and fast, and put extreme pressure on pilots. In some unpredictable situations, like new discovered threats or mission plan deviation because of enemy aircraft, the pilots might need to replan their predefined flight route. This is very difficult, if not impossible, to do since numerous factors affect it. A system that can help the pilots to do such a thing is needed. Previous work in this field has involved methods from artificial intelligence like A*-search.

Health and fitness are two controversial and not easily defined topics that affect people in our modern society every day. We believe that we can find a link between individualism, globalization and the stress concerning weight and appearance ideals. Our bodies have turned into a popular subject for the media, and there is no indication that the interest will decline. As the world gets more artificial, "natural" ideals are getting more attention, such as the concept of a strong and healthy body. But there is also a downside, for example with health issues such as cardiovascular disease increasing following the birth of high-fat diets.

This paper examines possible applications of fuzzy logic on the field of artificial intelligence in digital games. It describes fuzzy logic in contrast to crisp logic. The paper will give several examples of possible applications of fuzzy logic-based decision making for game AI. These examples include the choosing of weapons for AI agents and the gas-break decision of an AI-controlled car. The paper will also analyze the impacts of game AI which makes decisions based on many factors.

AbstractThe purpose of this bachelor thesis is to describe the use of artificial insemination (AI) in sheep and discuss the possibilities for AI in Sweden. Male and female fertility, heat detection, semen handling and insemination techniques in sheep are described. Advantages and disadvantages of AI are discussed. In order to achieve genetic progress it is important with well planned and implemented breeding programs. The Swedish Sheep Recording Scheme and computer software from Elitlamm are the basis for sheep breeding in Sweden.

As artificial intelligence (AI) has gained more influence in recruitment, both recruitment processes and the role of the recruiter are changing. This study aims to describe and analyze how recruiters translate, use, and relate to AI in their work. Through a qualitative method based on semi-structured interviews and document analysis, the study explores recruiters? experiences, attitudes, as well as perceived obstacles and opportunities regarding the use of AI in recruitment. With a theoretical foundation in translation theory, fashion, and imitation, the study examines how AI is not only followed as a trend, but also shaped and adapted locally through translation, depending on organizational identity and needs.

Dairy farmers using artificial insemination (AI) are dependent on effective oestrus detection. In Sweden, AI is used for a majority of all dairy cows and oestrus synchronisation with hormones is not allowed. There are reports of declining ability to express oestrus with higher levels of milk production. This makes oestrus detection more difficult. Several aids for oestrus detection have been developed, for instance pedometers and mounting detectors.

This thesis presents the implementation of a knowledge base system for rough sets [Paw92]within the logic programming framework. The combination of rough set theory with logic programming is a novel approach. The presented implementation serves as a prototype system for the ideas presented in [VDM03a, VDM03b]. The system is available at "http://www.ida.liu.se/rkbs". The presented language for describing knowledge in the rough knowledge base caters for implicit definition of rough sets by combining different regions (e.g.

Den klassiska approachen till navigering innefattar att agenten håller en intern representativ modell av omgivningen. Denna approach har emellertid många nackdelar, speciellt för dynamiska miljöer. En modernare approach är att förlita sig på den faktiska omgivningen istället för en modell av denna. Detta arbete presenterar en undersökning av navigeringsproblemet och hur väl det löses av agenter vars kontrollmekanismer utgörs artificiella neurala nätverk. Tillförlitligheten hos de två neurala arkitekturerna Extended sequential cascaded network och Self-organized recurrent network bestäms genom experiment.

The purpose of this review was to study the cow eye physiology, focusing on how it registers light, and to see how light affects the cow?s milk yield. It has been showed in studies that more hours of light per day (16 hours of light a day) as opposed to about 9-12 hours of light a day, increases milk yield for dairy cows. This review contains suggestions on how this is connected with the physiology of the eye. Vision is an important sense for many mammals, and is used to check out the animals surroundings. Sensor cells in the eyeball help in turning photons from the light into signals to the brain.

The use of transrectal ultrasonography of the uterus is a fairly new method for early pregnancy diagnosis. In the present study 40 cows and 10 heifers were examined 16, 19, 22 and 25 days after artificial insemination to decide on what day an accurate pregnancy diagnosis could be made under field conditions. A 5 and 7,5 MHz transducer were used in all examinations in order to determine wheter one of them was better for the present purpose. The animals were also examined for clinical signs of oestrus. The results shows that an accurate pregnancy diagnosis "not pregnant" was easier to make on day 22 than on day 25 since most of the not pregnant cows then were in heat.