This paper aims to investigate the qualitative reasoning. It is a branch of Artificial Intelligence. Qualitative reasoning deals with the creation of representations for features that have little information that can aide reasoning. …
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These future prospects help in deciding the appropriate action based on the options that qualitative reasoning reveals (Shi, 2011). Information of high resolution helps make certain conclusions, but low resolution information helps reveal robust conclusions. Qualitative representation presents knowledge that can easily be taken in by people from different walks of life. Compositionality helps bring together representations for diverse features of an occurrence in order to come up with a whole representation of the occurrence. This is instrumental in formalizing the process of modeling used in qualitative reasoning. A significant number of Artificial Intelligence devices articulate information concerning a given object that carries out few tasks. Engineers and scientists use knowledge that utilizes laws and principles that can be applied variously in regards to the devices they explain and functions in which they can be used (Davis, 2008). Status abstraction is the representation with the lowest resolution. It is used to represent the normality of a quantity. It is classified as the representation that is the weakest of all, and that expresses the functionality of something. The sign algebra expresses whether a continuous parameter is positive or negative. Sign algebra is used in qualitative reasoning concerning dynamics such as the expression of stability and oscillation. It is followed by representation of continuous values using ordinal relations (Parsons, 2001). This is called quantity space representation. For instance, it is used in representing the temperature of a give fluid by considering how the freezing point of its constituent material relates with its boiling point. Quantity space equally supports qualitative...
Qualitative reasoning and analysis have helped me choose and shape my dissertation topic approach. The course has been of particular importance in helping me to understand the concept of behavior. Initially, when I was conceptualizing my dissertation topic approach, I had not understood behavior clearly. The course made this very simple for me to understand as I now know that behavior refers to a set of qualitative states that occur over a given duration. One can use either qualitative or quantitative knowledge or both to describe the behavior. Quantitative continuous parameters bring the idea of trajectory in a state-space model, in the respective numerical features of behavior.
The course has also enriched my understanding of histories. Histories define the extent to which a given feature varies in a given duration. The histories of all constituent features and individuals are what make up behavior. In the situation calculus, histories are the dual of individual situations. Histories are bound by space and extend temporarily. Situations, on the other hand, are temporarily bound, but they enjoy global space. Simulation algorithms based on histories are more efficient relative to simulation algorithm based on state. This is because simulation algorithms based on histories do not need to consider information that is irrelevant.
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The government of Singapore has a significant control in most corporations, which constitutes about 60% of the GDP through business entities like Sovereign Wealth Fund (Temasek, Huff 751). The country has a free business environment with comparatively low levels of corruption, transparency in management of public affairs and constant/predictable prices changes.
Qualitative research may sometimes take a structured or semi-structure and even sometimes-unstructured questions or interviews (Faherty, 2008). Since the targeted persons are never trained or inducted on how they could respond to these interview questions, most people tend to answer these questions in the best ways known to them; thereby, sometimes ending up providing irrelevant responses (Starparu, 2011).
Duty-oriented reasoning, on the other hand, requires an individual to adopt certain behavior or attitude without considering the end-result of the action. That is, an individual would take certain actions because it is the right thing to do and his/her responsibility.
An argument comes in place for qualitative research that it is an approach, which is not specific or objective as like quantitative research, but it is an approach that requires profoundness and high contemplative thinking of the researcher (James, 2012).
The author states that qualitative and quantitative methods’ versatility can be analysed from the fact that “in recent years specialisations such as medical anthropology and medical sociology have relied on qualitative methods to explore issues relating to health, from the micro-context of the hospital ward to the broader socio cultural context”.
In this methodology, a hypothesis is arrived at and research is conducted to prove or disprove the theory put forth. The main draw back in using the quantitative approach in the research is the inflexibility of the methodology itself. Although it does have a long standing tradition, the quantitative research perspective will not allow me the depth required in seeking out answers to emerging questions in this newly, uncharted area".
Nominal data is that which can be ranked (ordered) while ordinal data cannot be ranked.
i. To establish a particular characteristics in the population. Since they will be studying different qualities in the population, the group will be able to determine a particular characteristic (quality) which will be common in the members of the population.
, by the following quote: “If psychology is the systematic study of human behavior, then marketing is the systematic study of human behavior in the marketplace. Good-looking people, for example, tend to be perceived as more intelligent, more successful and more popular.
There are numerous steps in a process of diagnostic reasoning. According to Wilkinson, there are four steps of diagnostic reasoning, these steps consists of Interpreting these entails Identifying significant cues, clustering cues and identifying data, drawing
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