1. Intelligent Database Systems Lab 國立雲林科技大學 National Yunlin University of Science and Technology 1 Modelling Fish Behaviour Advisor : Dr. Hsu Presenter : Jia-Hao Yang Author : Kingsley Stephens, Binh pham and Aster Wardhani Computer graphics and interactive techniques

2. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 2  Motivation  Objective  Introduction  Method  Conclusions Outline

3. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 3 Motivation  Current behavioral systems focus on either advanced development of animation or artificial intelligence aspects.  It doesn’t emphasize both simplicity and effciency.

4. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 4 Objective  The contribution of this paper is to focus on the practical modelling of fish for game production.

5. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 5 Introduction  When studying real fish we are concerned with three aspects: ─ Locomotion : anguillifom, carangiform and subcarangiform. Locomotion ─ Sense : hearing, vision and chemoreception (smell & taste) ─ Behavior : predators, prey, or social animals  Behavior model : it incorporates sets of motivations & behaviors to define particular species of fish. ─ Motivation : hunger, fear ─ Behavior : wander, school, hunt and flee  Different species of fish contain different combinations of motivations & behavious.  In this paper, we just refer to the two species : fish & sharks.

6. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 6 Method  Perception ─ Vision & collision detection  Mental Model ─ Motivational model ─ Behavior routines Avoid obstacle, wander, hunt, flee, school ─ Behavioral selection State machine Hunger : Fear :

7. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 7 Method  To animation a fish in this manner requires: ─ Attaching a skeleton to the mesh ─ Describing the movement of the skeleton for swimming or else.  How about the orientation, velocity …? ─ Point mass

8. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 8 Results and Evaluation  Animation & movement ─ Realistic & suitably smooth  Behavior & interaction ─ The simple behavioral system can create a complex interaction.  Production process ─ It’s methodology produced is simple, modular and practical.

9. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 9 Conclusion  Though the design framework, we can create more intelligence fish that could act individually based on their own motivations and view of the world simplicity and dfficiency.

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