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Elements and Performance Criteria

Conduct research on artificial intelligence (AI) strategies
Design AI strategy for games
Implement AI strategy
- Implement a pathfinding algorithm in a game
- Implement an NPC AI strategy in a game
Evaluate game, based on NPC AI
- Review the game design and AI strategies for its fulfilment of the design brief
- Discuss and confirm additional requirements or modifications to the game design and undertake any necessary amendments

Required Skills

Required skills

analytical skills to analyse game NPC goals and strategies to suit a game design brief

literacy skills to read a game design brief

technical skills to integrate designed AI into a game

Required knowledge

implications of basic pathfinding algorithms on game development

overview of AI terminology used in the game industry

development process for creating AI strategies for NPCs in a game

Evidence Required

The evidence guide provides advice on assessment and must be read in conjunction with the performance criteria required skills and knowledge range statement and the Assessment Guidelines for the Training Package

Overview of assessment

Critical aspects for assessment and evidence required to demonstrate competency in this unit

Evidence of the ability to

demonstrate an understanding of a broad knowledge base of AI strategies

design and implement AI strategies in a game

Context of and specific resources for assessment

Assessment must ensure access to

research tools such as the internet

pathfinding libraries algorithms or codes

development tools to implement AI strategies

appropriate learning and assessment support when required

modified equipment for people with special needs

Method of assessment

A range of assessment methods should be used to assess practical skills and knowledge The following examples are appropriate for this unit

direct observation of candidate discussing and designing AI strategies

verbal or written questioning to assess candidates knowledge of AI strategies

development of a game involving AI strategies

review of candidates documented game design

Guidance information for assessment

Holistic assessment with other units relevant to the industry sector workplace and job role is recommended where appropriate

Assessment processes and techniques must be culturally appropriate and suitable to the communication skill level language literacy and numeracy capacity of the candidate and the work being performed

Indigenous people and other people from a nonEnglish speaking background may need additional support

In cases where practical assessment is used it should be combined with targeted questioning to assess required knowledge

Range Statement

The range statement relates to the unit of competency as a whole. It allows for different work environments and situations that may affect performance. Bold italicised wording, if used in the performance criteria, is detailed below. Essential operating conditions that may be present with training and assessment (depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts) may also be included.

Terminology may include:	agent systems AI decision trees flocking fuzzy logic obstacle avoidance state machines steering behaviours.
Pathfinding may include:	A* Dijkstra grid-graph representation waypoints navigation mesh heuristics path smoothing.
Genre and environments may include:	2-D or 3-D first person shooter outdoors or indoors strategy game.
Range of possible goals and actions may include:	AI states such as hunt, run and search decision making who to attack based on game data.
Other factors may include:	cost versus benefit to implement emotional responses realism suit the design brief, genre and target audience.
Implementing a path-finding algorithm may include:	code the algorithm using a library to implement pathfinding using graphical tools.
NPC AI strategy may include:	flock game balancing - help the losing player by attacking the leading player to keep everyone in the game hunt, chase and flee patrol search for object or player.