User:Hr268/sandbox/Complex agent representation and Real-time search

Complex Agent Representation
Agents – are imparted with artificial intelligence, that guides them based on one or more functions, such as sight, hearing, basic emotion, energy level, aggressiveness level, etc. These agents are given goals to achieve while there are obstacles in a simulated environment. They interact with each other and the environment to achieve their goal just like how a human crowd would. In Computer Graphics, Crowd Simulation is the process of simulating such Intelligent agents. Their intelligence is derived from studying human behavior and interaction in crowd and imparting the learned knowledge to simulate collective behavior. Complex Agent representation deals with the various ways by which agents are simulated to mimic realistic crowd behavior. Agent based models is one such class of Computational models that deals with simulating the actions and interaction of autonomous agents with a view to assessing their effects on the environment as a whole.

Advancement
There are a lot of advancements in the field of complex agent representation.

Real-time search
Real-Time search refers to queries made to search engines that index news sites, blogs, Twitter feeds and other sources of data that are being updated continuously (real-time). General-purpose search engines (google) increasingly add more real-time results for users; however, search engines, such as  , focus exclusively on the latest postings.