Crowd Simulation Assignment 1 João Cabral, F092065.

Slides:

Advertisements

Similar presentations

Chapter 09 AI techniques in different game genres (Puzzle/Card/Shooting)

Advertisements

Wall Building for RTS Games Patrick Schmid. Age of Empires.

7.1. O SCARS & A RTIFICIAL I NTELLIGENCE Interim awards and introduction to game AI.

Controlling Individual Agents in High Density Crowd Simulation N. Pelechano, J.M. Allbeck and N.I. Badler (2007)

Multi-tiered AI Patrick Schmid. Multi-tiered AI We already saw a presentation about this topic Remember Ke‘s presentation? Short recap.

$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.

Artificial Intelligence in Real Time Strategy Games Dan Li.

CSE 380 – Computer Game Programming Pathfinding AI

University of Texas at Austin CS 378 – Game Technology Don Fussell CS 378: Computer Game Technology Dynamic Path Planning, Flocking Spring 2012.

CSC344: AI for Games Lecture 5 Advanced heuristic search Patrick Olivier

Presenter: Robin van Olst. Avneesh SudRussell Gayle Erik Andersen Stephen GuyMing Lin Dinesh Manocha.

Seminar Path Planning - Assignment 1 Boyan Endrovski Seminar Path Planning - Assignment 1.

Lord of Fries Team: Order of Fries. Team Members Carson Lee - Documentator Daniel McCue - Coder Franchesca Chung - Tester Michael Zhu - Coder James Sheldon.

Tracking a moving object with real-time obstacle avoidance Chung-Hao Chen, Chang Cheng, David Page, Andreas Koschan and Mongi Abidi Imaging, Robotics and.

Reaction Powered Car Hannah Smith Amber Fulkerson Marissa Yee.

Rome: Total War Mark Maratea CIS588 Winter FEB 2005.

Uninformed Search Reading: Chapter 3 by today, Chapter by Wednesday, 9/12 Homework #2 will be given out on Wednesday DID YOU TURN IN YOUR SURVEY?

Attacks against K-anonymity

AI Evaluation F.E.A.R.. How AI is used in F.E.A.R. Controls all enemy unit behaviors and actions Patrolling Attacking Ducking under cover etc. Other NPC.

Inference in Dynamic Environments Mark Steyvers Scott Brown UC Irvine This work is supported by a grant from the US Air Force Office of Scientific Research.

Managing Behaviour in Large Groups First Access CPD February 2014.

The Greedy Wall Building algorithm Rami Khouri. Ideal definition of Wall Either keeps valuable assets in, or enemies out…mostly keep enemies out Impassable,

Artificial Intelligence in Game Design Problems and Goals.

$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.

Starcraft Opponent Modeling CSE 391: Intro to AI Luciano Cheng.

Artificially Intelligent Smart Objects in Modern Computer Games Presentation by: Venetsian T. Jakimov.

Migration Advanced Biology – Spring WARM UP Why do animals migrate? Do humans migrate? List some differences and similarities between why each species.

Kinematics in 2-D Concept Map

Your Strategy: The Battle of Actium. Cape Actium Antony and Cleopatra have set up camp near the low lands of Cape Actium Antony and Cleopatra have set.

SKULLS OF THE SHOGUn AI POST-MORTEM Borut Pfeifer Developer: Haunted Temple Studios Publisher: Microsoft Platforms: XBLA, Windows Phone, Windows 8 Release.

Phi Phenomenon Demonstration This PowerPoint slide show will demonstrate the phi phenomenon. The phi phenomenon is the optical illusion of perceiving continuous.

Motion Planning in Games Mark Overmars Utrecht University.

Jumping, Climbing, and Tactical Reasoning Section 2.5 Tom Schaible CSE 497 – AI & Game Programming.

Energy Examples Serway and Jewett 8.1 – 8.3 Physics 1D03 - Lecture 22.

CIS 588 AI Evaluation for World of Warcraft Jonathan Schmoll February 14, 2005.

1 Frisbee Physics Simulation Charles George Advisor: Brian Postow 03/05/05.

Artificial intelligence IN NPCs. Early Role Playing games Npcs in early role playing games were very limited in terms of being “Intelligent”. For instance,

Wouter G. van Toll Atlas F. Cook IV Roland Geraerts Realistic Crowd Simulation with Density-Based Path Planning ICT.OPEN / ASCI October 22nd, 2012.

F.E.A.R. Game AI Evaluation by Robert Rak. What is F.E.A.R. ? FEAR is a First Person Shooter game Player takes on the role of an elite strike force team.

Measure of System Effectiveness Missile Defense System By Alfred Terris UNCL:ASSIFIED1.

Midterm Evaluations What you can do… n Study more, ready more, be more attentive in class, come see me more… What I can do… n More examples in class n.

Section 15.3 Properties of Solutions 1.To understand the effect of a solute on solution properties Objectives (15.3 part only)

Physics 111 Projectile Motion 2.0.

Qualitative Spatial Analysis Part 2 Chris Mansley.

Ch 3 –What is a deadlock ? –Conditions Hold and Wait Mutual Exclusion Non Preemption Circular Wait –Deadlock Models Single Unit Request AND Request OR.

Introduction to Game Programming & Design III Lecture III.

Lecture 2: Problem Solving using State Space Representation CS 271: Fall, 2008.

Distinctive Image Features from Scale-Invariant Keypoints Presenter :JIA-HONG,DONG Advisor : Yen- Ting, Chen 1 David G. Lowe International Journal of Computer.

Memory Protection through Dynamic Access Control Kun Zhang, Tao Zhang and Santosh Pande College of Computing Georgia Institute of Technology.

Team Member AI in an FPS and Goal Oriented Action Planning.

Skill acquisition

Automatic Learning of Combat Models for RTS Games

Ch 3 What is a deadlock ? Conditions Deadlock Models Hold and Wait

Application of Artificial Intelligence and Graphics to Support a Three-Dimensional Game Chris Cummings.

Movement in a full and dynamic environment using a limited influence map Paulo Lafeta Ferreira Artificial Intelligence for Games – CS 580 Professor: Steve.

PROJECTILE MOTION.

ASSIGNMENT NO.-2.

SAP Solution Manager The centerpiece of your support engagement

Lecture 19: Deadlock: Conditions, Detection and Avoidance

Workshop II UU Crowd Simulation Framework

أنماط الإدارة المدرسية وتفويض السلطة الدكتور أشرف الصايغ

CIS 487 LeRoy Eberly & Zev Lopez

Methodically Extrapolating Semantic Analyzer

Environment Design.

Solving Problems with Artificial Neural Networks (ANNs)

Lecture 19: Deadlock: Conditions, Detection and Avoidance

Signal Detection & Processing

Unity Game Development

Presentation transcript:

Crowd Simulation Assignment 1 João Cabral, F092065

About the game WWII themed Real-time strategy Released in 2006 by Relic Entertainment Two expansions released in 2007 and 2009 No improvements to AI #1 Strategy game ever on GameRankings.com #5 Strategy game ever on MetaCritic.com

João Cabral, F Moving through corridor

João Cabral, F Moving through corridor Problems: Erratic movement of the troops Dynamic re-planning of the path is faulty Cause: Constant block and unblock of the path messes path planning Takes too much time to detect unblockage of a path Find path to goal at any cost Solution: Realise that there is a bottle neck and simply wait If no path is found to goal, don’t move or go to where it is most likely for a path to exist

João Cabral, F Leaving cover position

João Cabral, F Leaving cover position Problems: Troops leave their covered position to engage the enemy No perception of the environment or the enemy movement Cause: Range of sight is higher than range of attack Troops are programmed to engage on sight Solution: Realise there is no cover in where they plan to move to Predict where the enemy will most likely move Remove range of attack, decrease accuracy with distance