Update for 06-04-22 13:15

tech/AI.wiki

@@ -27,8 +27,15 @@ acts upon the enviroment throught some actuators.
 Some types of agents
 
 * Simple reflex
+  * Make decision based on current state of percepts, ignores previous state
+  * Only work in fully observable enviroment
 * Model-based reflex agent
+  * Create a model of what is happening in the world, and based upon this
+    model, make decisions
+  * Work in partially obervable enviroment
 * Goal based agents
+  * Knowldege of enviroment is not always best info to know what to do
+  * Agent knows its goal and desirable situations
 * utility agesnts
 * learning agents
 
@@ -42,3 +49,28 @@ Example, taxi driver,
   * safe, fast legal comfortable trip, maxmize profit
 * Enviroment
   * Roads, traffic, pedestrians, customers
+
+Any part of the enviroment that is fully observable is called a fully obersable
+enviroment. Else it is partially observalble. Most aspects of the enviroment
+are only partially observable.
+
+A stocahstic enviroment is random in nature and cannot be determined completely
+by an agent.
+
+In a deterministic enviroment that is fully obersvable, agents do not need to
+account for random chance.
+
+If the enviroment can change while the agent is deliberating/computing what to
+do, then the enviroment is dynamic. Otherwise, it is static. Static enviroments
+are much easier to deal with, because an agent must not constantly deliberate
+on when to change course suddenly.
+
+If the number of possible states that can be percieved is bounded, then the
+enviroment is called a discrete enviroment, otherwise it is a continous
+enviroment. A chess game is discrete, because there is a finite number of moves
+that cna be played.
+
+If there is only one agent in the enviroment, then it is called a single agent
+enviroment. HOwever if mulitple agents are operating in the enviroment, then it
+is a multi agent enviroment. The design problems are much harder in a
+multiagent enviroment.