Software development is a process of writing and maintaining the source code, but in a broader sense, it includes all that is involved between the conception of the desired software through to the final manifestation of the software, sometimes in a planned and structured process. Therefore, software development may include research, new development, prototyping, modification, reuse, re-engineering, maintenance, or any other activities that result in software products.
Software architecture refers to the fundamental structures of a software system and the discipline of creating such structures and systems. Each structure comprises software elements, relations among them, and properties of both elements and relations. The architecture of a software system is a metaphor, analogous to the architecture of a building. It functions as a blueprint for the system and the developing project, laying out the tasks necessary to be executed by the design teams.
Logic comes from the greek word "logik?", which means "possessed of reason, intellectual, dialectical, argumentative". It is the systematic study of valid rules of inference, i.e. the relations that lead to the acceptance of one proposition (the conclusion) on the basis of a set of other propositions (premises). Logic includes the classification of arguments; the systematic exposition of the logical forms; the validity and soundness of deductive reasoning; the strength of inductive reasoning; the study of formal proofs and inference (including paradoxes and fallacies); and the study of syntax and semantics.
Artificial Intelligence is said to exist in any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. The term is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving". As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI. The traditional problems (or goals) of AI research include reasoning, knowledge representation, planning, learning, natural language processing, perception and the ability to move and manipulate objects.
Reasoning is associated with the acts of thinking and cognition, and involves using one's intellect. Like habit or intuition, is one of the ways by which thinking moves from one idea to a related idea, or to produce logically valid arguments. Reasoning is the means by which rational individuals understand sensory information from their environments, and conceptualize abstract dichotomies such as cause and effect, truth and falsehood, or ideas regarding notions of good or evil.