A.I. - Revision history

J Dobies: /* Decision Systems */

2007-07-26T04:54:32Z

Decision Systems

J Dobies: /* Fuzzy Logic */

2007-07-26T04:53:44Z

Fuzzy Logic

J Dobies: /* Decision Systems */

2007-07-17T18:42:34Z

Decision Systems

J Dobies: /* Decision Systems */

2007-07-17T18:37:15Z

Decision Systems

J Dobies: /* Artificial Neural Networks */

2007-07-17T17:33:21Z

Artificial Neural Networks

J Dobies: /* Decision Systems */

2007-07-17T16:36:35Z

Decision Systems

J Dobies: /* Fuzzy Logic */

2007-07-17T16:23:22Z

Fuzzy Logic

J Dobies: /* Fuzzy Logic */

2007-07-17T16:22:58Z

Fuzzy Logic

J Dobies: /* A.I for Games */

2007-07-05T06:24:02Z

A.I for Games

J Dobies: /* Fuzzy Logic */

2007-07-03T15:28:56Z

Fuzzy Logic

← Older revision		Revision as of 04:54, 26 July 2007
Line 20:		Line 20:
	[[Fuzzy Logic]]		[[Fuzzy Logic]]

−	~~<p>Fuzzy Logic is a mathmatical approach to solving a problem rather than a Boolean (True/False) approach. This approach to solving problems is similar to the approach we use. </p>~~
−	<p>For example: If you had a group of 50 individuals and you wanted to classify them as old or young you can see how the two approaches differ. In the Boolean approach anyone over a defined age, lets say 45,would be classified as old and everyone else would be young. So someone with the age 44.9 would be classified as young but at 45.0 they would become old.</p>
−	<p>Fuzzy Logic works on a sloping line. So it could say that everyone up to 40 would be considered absolutely young but from ages to 40 to 50 they would increasingly be considered more old. This comes out to define people as somewhat old or somewhat young in those years in which thier age/oldness is fuzzy. </p>
−	<p>Fuzzy Logic is used to determine a conclusion based on vague and noisey information that would be indeterminable by traditional problem solving methods. It is used to mimic human control of an application. By using a descriptive yet impercise language it deals with the data much the way a human controller would. Though it is inpercise it is still forgiving of data input and rarely needs much fine tuning.</p>
−	<p>Examples of Fuzzy Logic used for movie A.I. includes Massive Software [http://www.massivesoftware.com/index.php Massive Software] which was used in the Lord of the Rings Movies as well as the Chronicles of Narnia</p>

	===Artificial Neural Networks===		===Artificial Neural Networks===

@@ Line 18: / Line 18: @@
 Artifical intelligence relies on an intelligent decision system. There are severeral decision systems that have been applied in the past the most prevelant are Fuzzy Logic, developed by Zadeh in 1973, artifical neural networks (ANNs)and more recently evolutionary computation has become a powerful tool.
-===Fuzzy Logic===
+[[Fuzzy Logic]]
 <p>Fuzzy Logic is a mathmatical approach to solving a problem rather than a Boolean (True/False) approach. This approach to solving problems is similar to the approach we use. </p>

@@ Line 16: / Line 16: @@
 ==Decision Systems==
-Artifical intelligence relies on an intelligent decision system. There are severeral decision systems that have been applied in the past the most prevelant are Fuzzy Logic, developed by Zadeh in 1973, artifical neural networks (ANNs)and more recently evolutionary computation has become a powerdil tool.
+Artifical intelligence relies on an intelligent decision system. There are severeral decision systems that have been applied in the past the most prevelant are Fuzzy Logic, developed by Zadeh in 1973, artifical neural networks (ANNs)and more recently evolutionary computation has become a powerful tool.
 ===Fuzzy Logic===

@@ Line 16: / Line 16: @@
 ==Decision Systems==
-Artifical intelligence relies on an intelligent decision system. There are severeral decision systems that have been applied in the past the most prevelant are Fuzzy Logic, developed by Zadeh in 1973, artifical neural networks (ANNs)and more recently evolutionary computration has become a powerdil tool.
+Artifical intelligence relies on an intelligent decision system. There are severeral decision systems that have been applied in the past the most prevelant are Fuzzy Logic, developed by Zadeh in 1973, artifical neural networks (ANNs)and more recently evolutionary computation has become a powerdil tool.
 ===Fuzzy Logic===

@@ Line 28: / Line 28: @@
 ===Artificial Neural Networks===
 <p>Artificial Neural networks, sometimes refered to a just Neural Networks is a decision making system that was inspired by the nervous systems of animals. It works by having several processing systems working together to solve a problem rather than just one. These networks, just like humans, learn by example.</p>
-<p>The first Artificial Neuron was created by Warren McCulloch, a neurophysiologist, and Walter Pits, a logician, in 1943. However it was limited by the technology of the time.
+<p>The first Artificial Neuron was created by Warren McCulloch, a neurophysiologist, and Walter Pits, a logician, in 1943. However it was limited by the technology of the time so it was unable to do much. In 1949 Donald Hebb brought to light the importance that nerual pathways are improved with each use. This becomes essential because of its similarity to the way in which humans learn. "MADALINE" was developed in 1959 by Windrom and Hoff of Stanford University. It was the the first nueral network applied to a real world problem, eliminating the echoes on phone lines. This system is still in commercial use. </p>

← Older revision		Revision as of 16:36, 17 July 2007
Line 25:		Line 25:
	<p>Fuzzy Logic is used to determine a conclusion based on vague and noisey information that would be indeterminable by traditional problem solving methods. It is used to mimic human control of an application. By using a descriptive yet impercise language it deals with the data much the way a human controller would. Though it is inpercise it is still forgiving of data input and rarely needs much fine tuning.</p>		<p>Fuzzy Logic is used to determine a conclusion based on vague and noisey information that would be indeterminable by traditional problem solving methods. It is used to mimic human control of an application. By using a descriptive yet impercise language it deals with the data much the way a human controller would. Though it is inpercise it is still forgiving of data input and rarely needs much fine tuning.</p>
	<p>Examples of Fuzzy Logic used for movie A.I. includes Massive Software [http://www.massivesoftware.com/index.php Massive Software] which was used in the Lord of the Rings Movies as well as the Chronicles of Narnia</p>		<p>Examples of Fuzzy Logic used for movie A.I. includes Massive Software [http://www.massivesoftware.com/index.php Massive Software] which was used in the Lord of the Rings Movies as well as the Chronicles of Narnia</p>
		+
		+	===Artificial Neural Networks===
		+	<p>Artificial Neural networks, sometimes refered to a just Neural Networks is a decision making system that was inspired by the nervous systems of animals. It works by having several processing systems working together to solve a problem rather than just one. These networks, just like humans, learn by example.</p>
		+	<p>The first Artificial Neuron was created by Warren McCulloch, a neurophysiologist, and Walter Pits, a logician, in 1943. However it was limited by the technology of the time.

← Older revision		Revision as of 06:24, 5 July 2007
Line 7:		Line 7:

	== A.I for Games ==		== A.I for Games ==
		+
		+	Artificial Intelligence has been a main focal point in game design for several years. Smarter AI has been a feature that many gamers have looked for in new games. There is a growing desire for enemies that can work together and learn as they fight. It is through these desires that computer scientists have started to make developments in these areas.
		+
	=== Animator's Role===		=== Animator's Role===

@@ Line 17: / Line 17: @@
 <p>Fuzzy Logic works on a sloping line. So it could say that everyone up to 40 would be considered absolutely young but from ages to 40 to 50 they would increasingly be considered more old. This comes out to define people as somewhat old or somewhat young in those years in which thier age/oldness is fuzzy. </p>
 <p>Fuzzy Logic is used to determine a conclusion based on vague and noisey information that would be indeterminable by traditional problem solving methods. It is used to mimic human control of an application. By using a descriptive yet impercise language it deals with the data much the way a human controller would. Though it is inpercise it is still forgiving of data input and rarely needs much fine tuning.</p>
-<p>Examples of Fuzzy Logic used for movie A.I. includes Massive Software Massive Software[http://www.massivesoftware.com/index.php] which was used in the Lord of the Rings Movies as well as the Chronicles of Narnia</p>
+<p>Examples of Fuzzy Logic used for movie A.I. includes Massive Software [http://www.massivesoftware.com/index.php Massive Software] which was used in the Lord of the Rings Movies as well as the Chronicles of Narnia</p>