1. Bart van Greevenbroek

2.  Article  Authors  ViCrowd  Experiments  Assessment

3. Soraia Raupp MusseDaniel Thalmann

4.  Published in 2001  Cited 229 times  Cited by “Finding Paths for Coherent Groups Using clearance” (no 6 on our list) by Arno kamphuis and Mark Overmars

5.  Scripted behaviors  Reactive behaviors  User-guided behaviors

6. CrowdsGroupsAgents

7.  Behavioral based multi-level framework  Used to simulate crowds in real time  Script-based language.

8.  Knowledge (information about the world)  Beliefs (states of emotion)  Intentions (goals)

9.  Can change the knowledge, beliefs or intentions of an agent  And thus the behavior  Example: A door closes, the knowledge that the door closes changes, agents will not go through that door.  Example: A bomb goes off, agents within a radius panic, and behavior is altered.

10.  Modeling of crowd information, also concerning the distribution of groups  Different levels of realism  Required Structure to provide interaction between groups of agents in real time

14.  Flocking  Following  Goal Changing  Attraction  Repulsion  Split  Space adaptability  Safe-Wandering

15.  the agents from the same group share the same list of goals;  They walk at similar speeds;  They follow the paths generated as showed  One agent can wait for another on arrival at a goal when another agent from the same group is missing.

16.  A group can follow another group by sharing the same goals, either temporary or permanently.

17.  Agents can change groups, and this is influenced by the relationship value with each agent in the group (value between 0 and 1)  Agents have a leadership ability value, which is also taken into account  If an agent has a higher relationship with another group, it will join that group. If the leadership value is high enough

18.  The user can paint regions where the groups must be at a certain point, and the orientation can be influenced as well.  Groups are normally attracted to attraction points

19.  Groups are repulsed by obstacles and each other (similar to the social force model)

20.  Groups can split randomly

21.  The group wants to occupy all the walking space, using a bezier curve:

22.  Using a procedural method, the agents predict collisions using collision detection between two lines

23.  Scripted Behavior (SB)  Reactive Behavior (RB)  Guided Behavior (GB)

26.  Improving viCrowd script language by integrating Python  Panic and Emergency Behaviors

27.  High level of compatibility with other methods  Very flexible system  User has control over groups if needed  Groups are essential for a realistic crowd, so its good to focus on groups  Knowledge, Beliefs and Intentions is a well- known paradigm in the AI field

28.  Performance is not awe-inspiring  Exact formulae are missing  No system specs are given, which makes comparison with other methods difficult  A collection of simple motions are possible, but what about complex motions?  Seeing as groups follow attraction points, Oscillations can occur.

29.  The site with examples they mentioned, does not work.  Figures are sloppy, some text is cut off.  Meaningless pictures. If something is happening in the experiment involving motions, draw arrows or make the motion obvious.  In general, they go all over the place.