AI Topic Suggestions

[Bold topics have been selected by students in presentation groups A, B, or C]

• Behavior trees

  • http://gamasutra.com/blogs/ChrisSimpson/20140717/221339/Behavior_trees_for_AI_How_they_work.php

  • [Rabin 2015] chapter 10. Building a Risk-Free Environment to Enhance Prototyping: Hinted-Execution Behavior Trees

  • [Millington Funge 2009] chapter 5.4 Behavior Trees

  • CS exercise on Behavior Trees at Drexel

• Procedural content generation

  • [Rabin 2015] chapter 40. Procedural Content Generation: An Overview

  • CS exercise on Map Generation at Drexel

• Speech interfaces, Audio and AI

• Chatbots and natural language processing

• Group Tactics and Strategy

  • [Millington Funge 2009] chapter 6 Tactical and Strategic AI

  • [Rabin 2015] chapter 20. Hierarchical Architecture for Group Navigation Behavior (overlaps with Crowd Behavior)

  • [Rabin 2015] chapter 27. Looking for Trouble: Making NPCs Search Realistically

  • SquadSmart Hierarchical Planning https://www.aaai.org/Papers/AIIDE/2007/AIIDE07-003.pdf

• Emotion modeling

  • Bates J. (1994): The Role of Emotion in Believable Agents. In Special Issue: Intelligent Agents, Communications of the ACM 37(7):122-125.

  • Joscha Bach: MicroPSI project http://cognitive-ai.com/page2/page2.html

  • Robert Trappl, Paolo Petta, Sabine Payr (eds.) (2003): Emotions in Humans and Artifacts, MIT Press.

• Agent control architectures

  • [Millington Funge 2009] chapter 2.4

  • [Millington Funge 2009] chapter 9

  • [Rabin 2015] chapter 5. Agent Reaction Time: How Fast Should an AI React?

• Embodied conversational agents, Procedural Dialogue

  • [Rabin 2015] chapter 2. Combat Dialogue in FEAR: The Illusion of Communication

• Personality modeling, Companion characters

  • [Rabin 2015] chapter 33. Infected AI in The Last of Us

  • [Rabin 2015] chapter 35. Ellie: Buddy AI in The Last of Us

  • [Rabin 2015] chapter 38. Psychologically Plausible Methods for Character Behavior Design

• User modeling, Analytics

  • [Rabin 2015] chapter 39. Analytics-Based AI Techniques for a Better Gaming Experience

• Finite state machines

  • [Buckland 2005] chapter 2

  • [Millington Funge 2009] chapter 5.3

• Path finding / planning

  • [Buckland 2005] chapter 8 Practical Path Planning

  • [Millington Funge 2009] chapter 4 Pathfinding

  • [Rabin 2015] chapter 15. Subgoal Graphs for Fast Optimal Pathfinding

  • CS exercise on pathfinding at Drexel

• Search algorithms

  • [Buckland 2005] chapter 5. The Secret Life of Graphs

  • [Rabin 2015] chapter 22. Introduction to Search for Games

• Intelligent/realistic sensing interfaces

  • [Millington Funge 2009] chapter 10

  • [Rabin 2015] chapter 28. Modeling Perception and Awareness in Tom Clancy’s Splinter Cell Blacklist

• Experience management

  • [Rabin 2015] chapter 42. Techniques for AI-Driven Experience Management in Interactive Narratives

• Procedural animation, Steering behaviors, Crowd Behaviors

  • Boids http://www.red3d.com/cwr/boids/

  • [Rabin 2015] chapter 12. Separation of Concerns Architecture for AI and Animation

  • [Rabin 2015] chapter 17. Advanced Techniques for Robust, Efficient Crowds

  • Collision avoidance model based on psychological findings http://onlinelibrary.wiley.com/doi/10.1002/cav.1504/abstract

  • http://www.red3d.com/cwr/steer/

    • [Rabin 2015] chapter 18. Context Steering: Behavior-Driven Steering at the Macro Scale

  • [Millington Funge 2009] chapter 3.2-3.4 Movement and Steering Behaviors

  • [Buckland 2005] chapter 3 Autonomously Moving Agents

  • CS exercise on Steering Behaviors at Drexel

• Learning, Reasoning

  • [Millington Funge 2009] chapter 7 Learning

  • [Millington Funge 2009] chapter 13.1 Teaching Characters

• Computer Vision / Image Recognition

• History of enemy AI in games

  • [Rabin 2015] chapter 34. Human Enemy AI in The Last of Us

• Board Game AI

  • [Millington Funge 2009] chapter 8 Board Games

  • [Rabin 2015] chapter 24. Interest Search: A Faster Minimax

• Enemy AI of a (mod-able) game