Week

Topic

Readings

Ferber

UMLD

PDF

1

Introduction

Lewis, M. & Jacobson, J.  Game engines in scientific research.

Laird, J.  Research in human-level AI using computer games.

Kaminka, G. et al.  Gamebots: a 3D virtual world test-bed for multiagent research.

2

GOFAI

ch. 3

Brooks, R.  Intelligence without reason.

ch. 5

3

Agent Formalism

ch. 8

Chella, A. et al.  An agent based design process for cognitive architectures in robotics.

Flake, S. et al.  Towards UML-based analysis and design of multi-agent systems.

4

Introduction to Agents

p. 1-30

Reynolds, C.  Steering behaviors for autonomous characters.

Murphy, R. et al.  An explicit path planner to facilitate reactive control and terrain preferences.

5

Actions & Behaviors

p. 149-166

p. 180-207

6

Agent Organization

p. 125-142

7

Spatial Representation

Klatzky, R.  Allocentric and egocentric spatial representations: definitions, distinctions, and interconnections.

Forbus, K. et al.  How qualitative spatial reasoning can improve strategy game AIs.

8

Representing Movement

Musto, A.  On spatial reference frames in qualitative motion representation.

Musto, A. et al.  From motion observation to qualitative motion representation.

Musto, A. et al.  Qualitative motion representation in egocentric and allocentric frames of reference.

9

Representing Orientation

Freksa, C.  Using orientation information for qualitative spatial reasoning.

Zimmermann, K. & Freksa, C.  Qualitative spatial reasoning using orientation, distance, and path knowledge.

Freksa, C. & Zimmermann, K.  On the utilization of spatial structures for cognitively plausible and efficient reasoning.

10

Navigation & Wayfinding

Steck, S. & Mallot, H.  The role of global and local landmarks in virtual environment navigation.

Mallot, H. & Gillner, S.  View-based vs. place-based navigation: what is recognized in recognition-triggered responses?

Raubal, M. & Worboys, M.  A formal model of the process of wayfinding in built environments.

11

Multi-Agent Systems

p. 88-114