Verified Document

Human And Machine Intelligence The Similarities And Essay

Human and Machine Intelligence The similarities and differences between human and machine intelligence doesn't seem to be the most important issue. It seems clear that both have been shown to exist, though they have very fundamentally different characteristics. The issue now centers more on supremacy: Is one better, more authoritative than the other? And if so, does this influence whether a "superintelligence" (Bostrom, 2003) exists that takes us to the paradigm when words (Zadeh, 2009) and emotions are most important (Dennett, Chapter 16)?

The early writings about projects like the Turing test tried to explain intelligence as being some kind of understanding about knowledge and its function. They often used simple conceptualizations similar to the way computers use the characters of "1" and "0" as a mathematical language. Philosophers use this approach to speculate about how a logical person might be able to "see" one color by itself, independent of another color that might actually be next to the first. The process of putting the colors together into a single vision became the focus of whether there was one or more persons in the understanding of what it means to be an intelligent human, and laid the ground work for looking at a few variables to understand intelligence (Parfit, Chapter 8). This approach allows for the argument about whether we and intelligence is about our "ego" (the experience we perceive) or a "bundle" of various experiences all tied together in...

In either case, these understandings try to see knowledge, intention, meaning and such as identifiable separate entities that can be counted or measured.
Today's understandings of the differences between human and machine intelligence are based on more sophisticated views about the mechanics of computers and of the neurology of the human brain. One example of this idea can be seen in a series of posting on the Science Blogs. The writer, Chatham (2011), says that the first difference is the "Brains are analogue; computers are digital." Basically, this means that while brains send electric signals of messages around (in analog), computers use mathematical representations (using the digits of 1 and 0). These distinctions have important implications for what can be done with the knowledge. For example, the second difference notes how brains use "content-addressable" memory. The processor looks for the knowledge in question based on an association between the question and similar terms and concepts. Our brain "knows" that a fox is an animal or a pretty woman. Computers, however, are thought to just use "addresses," meaning they know where the knowledge is stored.

The remainder of this posting highlights other important distinctions between how the biological entity uses its knowledge verse how the computer hardware or software does. The last of the differences (that "Brains have bodies") is most relevant in that it…

Sources used in this document:
REFERENCES

Block, N. (____). The mind as the software of the brain. Chapter 14.

Bostrom, N. (2003). Creating Superintelligence involves less risk than waiting. In S. Engdahl, Artificial Intelligence. Green Press: Detroit.

Can a Machine Think? Chapter 5.

Chatham, C. (2011). 10 important differences between brains and computers. Developing Intelligence [over time, across species, cross-platform]. Viewable at http://scienceblogs.com/developingintelligence/2007/03/why_the_brain_is_not_like_a_co.php.
Cite this Document:
Copy Bibliography Citation

Related Documents

Artificial Intelligence
Words: 2400 Length: 8 Document Type: Term Paper

Artificial Intelligence What if these theories are really true, and we were magically shrunk and put into someone's brain while he was thinking. We would see all the pumps, pistons, gears and levers working away, and we would be able to describe their workings completely, in mechanical terms, thereby completely describing the thought processes of the brain. But that description would nowhere contain any mention of thought! It would contain nothing

Humint Intelligence Collection
Words: 2457 Length: 8 Document Type: Literature Review

human intelligence particularly in the context of Afghanistan war. Afghanistan is a Muslim Asian state which has been victimised by external forces of USA and Russia. The internal state of Afghanistan is very unfavourable for the development of country and it is most likely that for rehabilitation, it needs the assistance of many other countries. In the context of human intelligence, it is important to mention that this topic has

Philosophical Analysis of Animal-Human Interactions Both Animal
Words: 1738 Length: 6 Document Type: Essay

Philosophical Analysis of Animal-Human Interactions Both animal rights and ecocentrism discourage hunting, although for different reasons. Thesis: Animal rights philosophy views hunting from a moral perspective, as the unnecessary infliction of suffering on sentient beings, no less immoral than the persecution of human beings. Ecocentrism views hunting from a perspective of self-interest, as an activity with unforeseeable consequences which could threaten the ability of many life-forms to sustain themselves on planet

Netflix and Machine Learning
Words: 1335 Length: 4 Document Type: Research Paper

Netflix and Machine Learning Machine Learning (ML) represents a data analysis technique involving automation of analytical model development. This segment of AI (artificial intelligence) is grounded in the notion that a system is able to learn using information provided, discern patterns, and engage in decision-making without much human involvement required. Owing to technological advancements in computing, contemporary ML differs from ML of earlier times. The concept traces its roots to pattern

Behavioral Finance Human Interaction a Study of the Decision-Making...
Words: 22258 Length: 81 Document Type: Term Paper

Behavioral Finance and Human Interaction a Study of the Decision-Making Processes Impacting Financial Markets Understanding the Stock Market Contrasting Financial Theories Flaws of the Efficient Market Hypothesis Financial Bubbles and Chaos The stock market's dominant theory, the efficient market hypothesis (EMH) has been greatly criticized recently for its failure to account for human errors, heuristic bias, use of misinformation, psychological tendencies, in determining future expected performance and obtainable profits. Existing evidence indicates that past confidence in the

Nanotechnology Is the Predictable Capability
Words: 6153 Length: 15 Document Type: Term Paper

It is very hard to map the intricate brocade of a human mind onto such a machine with a reasonable resolution, but the formation of artificial intelligence or machine intelligence is anticipated to offer an approachable challenge. It maybe a device with full Turing-test interactivity which is capable of fulfilling our wish or would be an interlacing dense layer of memory around a shifting model of existential realty, and

Sign Up for Unlimited Study Help

Our semester plans gives you unlimited, unrestricted access to our entire library of resources —writing tools, guides, example essays, tutorials, class notes, and more.

Get Started Now