This chapter, as well as the next few, is narrated by the beast himself. After a few lines it becomes obvious that this "monster" isn't the coldhearted heathen Victor has portrayed. In fact, Frankenstein's creation is very human-like: Indeed we develop a genuine sense of pity, not loathing, for the beast once he relates his difficult situation to the reader.
This insight, that digital computers can simulate any process of formal reasoning, is known as the Church—Turing thesis. Herbert Simon predicted, "machines will be capable, within twenty years, of doing any work a man can do".
Marvin Minsky agreed, writing, "within a generation Progress slowed and inin response to the criticism of Sir James Lighthill  and ongoing pressure from the US Congress to fund more productive projects, both the U.
The next few years would later be called an " AI winter ",  a period when obtaining funding for AI projects was difficult. In the early s, AI research was revived by the commercial success of expert systems a form of AI program that simulated the knowledge and analytical skills of human experts.
Bythe market for AI had reached over a billion dollars. S and British governments to restore funding for academic research. Clark also presents factual data indicating that error rates in image processing tasks have fallen significantly since Goals can be explicitly defined, or can be induced.
If the AI is programmed for " reinforcement learning ", goals can be implicitly induced by rewarding some types of behavior and punishing others. An algorithm is a set of unambiguous instructions that a mechanical computer can execute.
A simple example of an algorithm is the following recipe for optimal play at tic-tac-toe: Otherwise, if a move "forks" to create two threats at once, play that move. Otherwise, take the center square if it is free. Otherwise, if your opponent has played in a corner, take the opposite corner.
Otherwise, take an empty corner if one exists. Otherwise, take any empty square. Many AI algorithms are capable of learning from data; they can enhance themselves by learning new heuristics strategies, or "rules of thumb", that have worked well in the pastor can themselves write other algorithms.
Some of the "learners" described below, including Bayesian networks, decision trees, and nearest-neighbor, could theoretically, if given infinite data, time, and memory, learn to approximate any functionincluding whatever combination of mathematical functions would best describe the entire world.
These learners could therefore, in theory, derive all possible knowledge, by considering every possible hypothesis and matching it against the data. In practice, it is almost never possible to consider every possibility, because of the phenomenon of " combinatorial explosion ", where the amount of time needed to solve a problem grows exponentially.
Much of AI research involves figuring out how to identify and avoid considering broad swaths of possibilities that are unlikely to be fruitful. A second, more general, approach is Bayesian inference: The third major approach, extremely popular in routine business AI applications, are analogizers such as SVM and nearest-neighbor:Technology In Action, Introductory - United States Edition, Alan Evans, Mary Anne Poatsy, Kendall Martin A Survey of Worcestershire by Thomas Habington V2 (), Thomas Habington, John Amphlett Four Freedoms Trimmers, School Specialty Publishing, .
Reading Between the Lines: An analysis of Mary Shelley’s Frankenstein, or, the Modern Prometheus, using 6 Since it was a ghost story contest, it is reasonable to believe that Mary Shelley’s initial purpose with This assignment intends to support a semi-biographical reading of Frankenstein .
Frankenstein; or, The Modern Prometheus is a novel written by English author Mary Shelley (–) that tells the story of Victor Frankenstein, a young scientist who creates a hideous, sapient creature in an unorthodox scientific experiment.
Shelley started writing the story when she was 18, and the first edition of the novel was published anonymously in London on 1 January , when she. c Max Weber's research on the rise of capitalism identified religious beliefs as the key.
(13) d All are correct. Replication helps researchers overcome distortions that values can cause, results can be compared when a study is repeated, and replication involves the CHAPTER-BY-CHAPTER ANSWER KEY. 1. b, b The.
The Writing Process Scholarly writing is a result of critical reading and critical thinking, and scholarly writing generates critical readers and critical thinkers. Learn by writing, e.g., keep an analytical journal throughout a group project for a course in project.
Chapter 5. It was on a dreary night of November that I beheld the accomplishment of my toils. With an anxiety that almost amounted to agony, I collected the instruments of life around me, that I might infuse a spark of being into the lifeless thing that lay at my feet.