GEK6155 Software Agent (Software Agent Technology in Game)

Presentation on theme: "GEK6155 Software Agent (Software Agent Technology in Game)"— Presentation transcript:

1 GEK6155 Software Agent (Software Agent Technology in Game)
Spring Semester, 2009 Dept. of Computer Science Yonsei University

2 Course Objectives to introduce the student to the concept of an agent and multi-agent system, and the main applications for which they are appropriate; to introduce the main issues surrounding the design of intelligent agents; to introduce the main issues surrounding the design of a multi-agent society; to introduce a contemporary platform for implementing agents and multi-agent systems. - 소프트웨어 에이전트의 개념과 설계에 필요한 기법에 대해 소개한다. - 소프트웨어 에이전트의 전반적 활용분야를 점검한다. - 소프트웨어 에이전트를 이용한 구체적인 게임 관련 AI를 학습 및 구현한다.

3 Learning Outcomes Upon completing this course, a student will:
understand the notion of an agent, how agents are distinct from other software paradigms (e.g., objects), and understand the characteristics of applications that lend themselves to an agent-oriented solution; understand the key issues associated with constructing agents capable of intelligent autonomous action, and the main approaches taken to developing such agents; understand the key issues in designing societies of agents that can effectively cooperate in order to solve problems, including an understanding of the key types of multi-agent interactions possible in such systems; understand the main application areas of agent-based solutions, and be able to develop a meaningful agent-based system using a contemporary agent development platform.

4 Contact Instructor Prof. Sung-Bae Cho (Eng. C515;  ; Web-page : Class hours Tue 8:30 ~ 10:00 (Eng. A011) TA Mr. Soo-Hyung Jang

5 Course Materials Textbook [SAT] http://www.cs.uta.fi/sat/materials
References M. Wooldridge, An Introduction to MultiAgent Systems. John Wiley & Sons, ISBN X. Jeffrey M. Bradshaw (Ed), Software Agents, MIT Press, 1997 Michael N. Huhns, Munindar P. Singh, Readings in Agents, Morgan Kaufmann, 1998 Jacques Ferber, Multi-Agent Systems, Addison-Wesley, 1999 Akira Namatame (Ed), Agent-based Approaches in Economic and Social Complex Systems, 2002 Related Conference Proceedings (IJCAI, AAAI, PRICAI, IAT, etc) UMBC site : MIT site :

6 Course Schedule 3/3 : Course Introduction
3/10 : Visions of Agents (SAT, Ch1), Classes of Agents (SAT, Ch2) 3/17 : Technical Issues (SAT, Ch3), Agent Architecture (SAT, Ch4) 3/24 : 지능형 에이전트: 게임에서의 활용, CIG Competition 소개 3/31 : TORCS 플랫폼 소개 및 코드 접근 소개 4/7 : 레이싱 게임 관련 AI 연구 소개 4/14 : TORCS 개별과제 결과 발표 4/21 : 중간시험 4/28 : Pacman 플랫폼 소개 및 코드 접근 소개 5/5 : No lecture 5/12 : 캐주얼 게임 AI 관련 연구 5/19 : Pacman 개별과제 결과 발표 5/26 : Unreal Tournament 플랫폼 소개 및 코드 접근 소개 6/2: 일인칭 슈팅게임 AI 관련연구 소개 6/9 : Unreal Tournament 개별과제 결과 발표 6/16 : 기말시험

7 Evaluation Criteria Evaluation Criteria 발표/보고서 : 50% 시험 : 30%
발표/보고서 : 50% 시험 : 30% 과제/수업참여 : 20%

8 Questions & Answers