Difference between revisions of "Complex Gameplay"
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| − | There are several ways of limiting or adjusting the complexity of gameplay or how players perceive the complexity. [[Smooth Learning Curves]] lets players only be exposed to a small part of the whole complexity of a game, and only let them have more complexity after they have proven that they can handle the amount they have been experiencing so far. [[Exaggerated Perception of Influence]] or [[Limited Foresight]] can make players not be able to perceive the true complexity or be able to try and analyze it. [[Time Pressure]] and [[Limited Planning Ability]] works similarly but can make players notice the complexity but forcing them to act without completely analyzing the current situation. [[Ability Losses]] and [[Varying Rule Sets]] can be used to remove complexity during gameplay or create complexity in that players need to make use of different parts of the available actions and rules during different parts of the game. The subsections below for also describe ways this can be done through diegetic, interface, or narration design. | + | There are several ways of limiting or adjusting the complexity of gameplay or how players perceive the complexity. [[Smooth Learning Curves]] lets players only be exposed to a small part of the whole complexity of a game, and only let them have more complexity after they have proven that they can handle the amount they have been experiencing so far. [[Exaggerated Perception of Influence]] or [[Limited Foresight]] can make players not be able to perceive the true complexity or be able to try and analyze it. [[Time Pressure]] and [[Limited Planning Ability]] works similarly but can make players notice the complexity but forcing them to act without completely analyzing the current situation. [[Ability Losses]] and [[Varying Rule Sets]] can be used to remove complexity during gameplay or create complexity in that players need to make use of different parts of the available actions and rules during different parts of the game. The subsections below for also describe ways this can be done through diegetic, interface, or narration design. |
=== Diegetic Aspects === | === Diegetic Aspects === | ||
Revision as of 14:12, 14 January 2015
The one-sentence "definition" that should be in italics.
This pattern is a still a stub.
(Right level of complexity)
Contents
Examples
Conway's Game of Life Magic: The Gathering both which are Turing equivalent.
Europa Universalis series Crusader Kings series
Anti-Examples
optional
Using the pattern
Complex Gameplay can be a design goal for several reasons in game, common ones being to provide Challenging Gameplay, Solution Uncertainty, and, more generally, Cognitive Engrossment. It can also be used to increase or decrease the likelihood of Analysis Paralysis or Stimulated Planning since a certain level of complexity might increase the presence of these patterns but adding even more complexity might decrease them. The generic ways of providing Complex Gameplay is through number of game components (and their relations), through numbers of rules (and their inter-connectivity), and through the number of actions with Predictable Consequences players can perform.
Adding game components is typically a question of adding Resources. However, adding game components tend to also add number of actions so the approach is twofolded, for example adding Resources is likely to lead to Resource Management. Adding Units under player control is a more particular way of adding Resources in this sense and leads to an increase in number of possible actions although not necessarily different types of actions. Producers can be used to add game components during gameplay for added complexity, and Converters or Producer-Consumer can be used to create complexity through having hierarchies of game components. Given a set of game components, complexity to a game can be "added" simply by letting players have Perfect Information amount them if there are many components while in cases where players do not get to know the complete game state Red Herrings or Secret Goals can be used instead.
Just having many rules or have many rules interacting with each other can create Complex Gameplay (e.g. how game values influence each other in the Europa Universalis series), but Evolving Rule Sets and Varying Rule Sets can be used to create Complex Gameplay through adding or changing rules as gameplay progresses or between game instances - Optional Rules can be used to let players decide how Complex Gameplay they want.
Providing players with many Abilities is an easy to increase the amount of Complex Gameplay through increasing the number of different possible actions, while Units under players control can add more number of total possible actions although many may be the same. Enemies or Units under control of opponents add complexity in having more opposition to handle and having more actions possible in that actions can typically be taken towards defeating each individual enemy, and Algorithmic Agents can add significant complexity to the behavior of Enemies (as well as Non-Player Characters). Further, Orthogonal Differentiation can be used to multiply the effects of adding Abilities with adding Units. Of course, the type of actions possible can affect how complex gameplay is. While Movement might seem like one of the most simple types of actions possible in a game, the possibility to move repeatedly quickly can create a complex set of potential future actions, and complexity might further be increase by adding other game components that move and requiring players to avoid hitting Obstacles while moving. Puzzle Solving typically creates Complex Gameplay by requiring thinking several steps ahead or innovative ways (one example of the former is the use of Limited Resources together with Traverse). Rhythm-Based Actions is an example of how a few very simply actions can be combined to create Complex Gameplay in which order and with which Timing they should be performed.
Given a set of actions possible, there are several ways of adding complexity to these. Goal Hierarchies (potentially together with Quests) can put requirements on what actions players need to perform to succeed with goals as well as in which order the goals need to be done. Indirect Control creates Complex Gameplay by requiring the use of actions to trigger other events that have the consequences one actually wants to make happen. Trumps can make some actions better than other (but often limited by Resources) while Rock-Paper-Scissors make power relations between actions non-transitive and requires players to either have best information about the current game state or try to read other players' intentions. Attention Swapping requires players to move between several different gameplay foci, while Combos stress learning specific combinations of actions and Budgeted Action Points highlights the necessity to choose between actions. However, Collaborative Actions and Cooperation are probably the richest areas in which complexity can be added to gameplay actions. First, they can require Negotiation and Coordination. This can be complicated through requiring that the Collaborative Actions have to be done as Asynchronous Collaborative Actions or using Delayed Effects so that knowing the effects of the actions isn't instantaneous (or even that one does not get confirmations that the Collaborative Actions have been made at all). Collaborative Actions can also be made more risky through the use of Delayed Reciprocity so that one part of the Cooperation needs to trust that the other will return the favor or fulfill an obligation in the future; Trading used together with Delayed Effects have similar effects. Secret Alliances can facilitate the need to do these Collaborative Actions in secrecy while Uncommitted Alliances introduces complexity in the form of possible failure of fulfilling promises of Cooperation. Betrayal can also be introduced to assign players into being the ones that are supposed to hinder Cooperation or Teams to function properly (see Battlestar Galactica: The Board Game for an example of this). Complexity can also be added through requiring players to both have Competition and Cooperation with each other at the same time; Republic of Rome does this through making players compete with each other but force them to together fight barbarian unless they should all lose. Internal Rivalry is a more specific form of combining Competition and Cooperation that only needs to apply to specific pairs of players.
Providing shifting goals during gameplay can also make for Complex Gameplay. Role Reversal for players that they are not aware of is an example of this (Battlestar Galactica: The Board Game is an example of this since players may discover that they are Traitor cylons halfway through the game).
All of the aspects described above for Complex Gameplay can be further supported by Dedicated Game Facilitators or Game Masters. Dedicated Game Facilitators can keep track of all game components and rules, avoiding making the complexity of manipulating these distract from the actual gameplay, while Game Masters can in addition add or change these while gameplay is ongoing. They can also increase the complexity of Non-Player Characters significantly.
Can Be Instantiated By
Quests together with with Enemies
There are several ways of limiting or adjusting the complexity of gameplay or how players perceive the complexity. Smooth Learning Curves lets players only be exposed to a small part of the whole complexity of a game, and only let them have more complexity after they have proven that they can handle the amount they have been experiencing so far. Exaggerated Perception of Influence or Limited Foresight can make players not be able to perceive the true complexity or be able to try and analyze it. Time Pressure and Limited Planning Ability works similarly but can make players notice the complexity but forcing them to act without completely analyzing the current situation. Ability Losses and Varying Rule Sets can be used to remove complexity during gameplay or create complexity in that players need to make use of different parts of the available actions and rules during different parts of the game. The subsections below for also describe ways this can be done through diegetic, interface, or narration design.
Diegetic Aspects
While breaking Diegetic Consistency, Extra-Game Information can be used to provide players with direct information about how the game system works from within the game and through this both make Complex Gameplay easier to understand and point out game rules that might be missed otherwise.
Interface Aspects
Game State Indicators can provide players with clear presentations of parts of the game state and thereby make it easier to get an overview of what is happening in a game with Complex Gameplay. Similar to Extra-Game Information, Loading Hints and Tooltips can provide players with direct information about how the game system functions.
Narration Aspects
Narration Structures can be used to make Complex Gameplay easier to handle through having the narration provide another level of description that players can make use of to keep track of how various game components (typically Characters) relate to each other.
Consequences
Complex Gameplay can have several different far-reaching consequences for a game design. First, it can lead to Challenging Gameplay and possibly FUBAR Enjoyment. Second, it can lead to Solution Uncertainty and make Predictable Consequences absent so players may be inclined to do Experimenting. This also lead to Complex Gameplay making Surprises possible but at the same time making Anticipation more unlikely. Complex Gameplay has a dual relation to Hovering Closures, it can provide these by having many simultaneously requirements that need to be fulfilled at the same time but when they are too many of these, or their status is not clearly presented, players may not experience them as being close to being reached. The pattern does however not need to lead to both Solution Uncertainty and Challenging Gameplay at the same time, and when a game with Complex Gameplay lacks challenging aspects (at least sometimes), it can provide Creative Control and let players engage in Pottering (Minecraft can be seen as an example of this). Third, the complexity of gameplay can lead to Varied Gameplay since players may only be focusing or interacting with specific parts of the gameplay in each game instance. All these consequences can lead to Cognitive Engrossment so this is perhaps one of the more predictable effects of Complex Gameplay. Finally, being able to handle the complexity of a game with Complex Gameplay is a form of Game Mastery, e.g. when being able to skillfully make use of all possible Combos.
Complex Gameplay can give Excise if players need to manipulate many individual game components as part of gameplay. When the Complex Gameplay relies on Resource Management, this can take the form of Grinding.
Relations
Can Instantiate
Challenging Gameplay, Cognitive Engrossment, Creative Control, Excise, Experimenting, FUBAR Enjoyment, Game Mastery, Hovering Closures, Pottering, Solution Uncertainty, Varied Gameplay
with Resource Management
Can Modulate
Analysis Paralysis, Stimulated Planning
Can Be Instantiated By
Abilities, Algorithmic Agents, Asynchronous Collaborative Actions, Attention Swapping, Budgeted Action Points, Collaborative Actions, Combos, Coordination, Converters, Dedicated Game Facilitators, Enemies, Evolving Rule Sets, Game Masters, Goal Hierarchies, Indirect Control, Internal Rivalry, Movement, Negotiation, Optional Rules, Orthogonal Differentiation, Perfect Information, Predictable Consequences, Producers, Producer-Consumer, Puzzle Solving, Red Herrings, Resources, Resource Management, Rhythm-Based Actions, Rock-Paper-Scissors, Role Reversal, Secret Alliances, Secret Goals, Skills, Surprises, Trumps, Uncommitted Alliances, Units, Variable Accuracy, Varying Rule Sets
Betrayal together with Cooperation or Teams
Collaborative Actions together with Delayed Effects or Delayed Reciprocity
Competition together with Cooperation
Limited Resources together with Traverse
Trading together with Delayed Effects
Can Be Modulated By
Ability Losses, Exaggerated Perception of Influence, Extra-Game Information, Game State Indicators, Limited Foresight, Limited Planning Ability, Loading Hints, Narration Structures, Smooth Learning Curves, Time Pressure, Tooltips, Varying Rule Sets
Possible Closure Effects
-
Potentially Conflicting With
Anticipation, Hovering Closures, Predictable Consequences
History
An heavily updated version of the pattern Right Level of Complexity that was part of the original collection in the book Patterns in Game Design[1]. The update has made the pattern be rather close to the concept of analytic complexity described in Costikyan's book Uncertainty in Games[2].
References
- ↑ Björk, S. & Holopainen, J. (2004) Patterns in Game Design. Charles River Media. ISBN1-58450-354-8.
- ↑ Costikyan, G. 2013. Uncertainty in Games. MIT Press. Official webpage for the book.
Acknowledgements
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