How Behavior Trees Modularize Hybrid Control Systems and Generalize Sequential Behavior Compositions, the Subsumption Architecture, and Decision Trees

Colledanchise, Michele; Ögren, Petter

doi:10.1109/tro.2016.2633567

Cited by 155 publications

(184 citation statements)

References 21 publications

(35 reference statements)

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“…Introduction [1]. Behavior tree is a graphical, modeling language and a good approach for developing big AI systems for games in a short period a time.…”

mentioning

confidence: 99%

“…This method was developed by R.G. Dromey with first publication of some keyideasin 2001 [1]. Early publications on this work used the terms "genetic software engineering" and "genetic design" to describe the application of behavior trees [1].…”

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confidence: 99%

“…Dromey with first publication of some keyideasin 2001 [1]. Early publications on this work used the terms "genetic software engineering" and "genetic design" to describe the application of behavior trees [1]. The reason for originally using the word genetic was because sets of genes, sets of jigsaw puzzle pieces and sets of requirements represented as behavior trees all appeared to share several key properties:…”

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confidence: 99%

“…Despite these legitimate genetic parallels it was felt that this emphasis led to confusion with the concept of genetic algorithms. As a result, the term behavior engineering [1] was introduced to describe the processes that exploit behavior trees to construct systems. The term "behavior engineering" has previously been used in a specialized area V. Kushnir, B. Koman ISSN 2224-087X.…”

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confidence: 99%

“…Issue 9 114 of Artificial Intelligence -robotics research. The present use embraces a much broader rigorous formalization and integration of large sets of behavioral and compositional requirements needed to model large-scale systems [1].…”

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confidence: 99%

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Creating AI for games with Unreal Engine 4

Kushnir¹,

Koman²

2018

ELIT

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Game AI in Unreal Engine 4 based on decision tree and called Behavior tree. The advantage of developing AI is the wide usage of this method in game industry for building an AI bots. It helps to build not a simple AI but a big model that helps us to build more interesting game. Nevertheless, this method of developing AI has a disadvantage which make hard to build a big system if you are only on a start to build AI with this method. In this paper I will show game engine called Unreal Engine 4 and how artificial intelligence can be developed. Also in this article will be shown a good start using this method for building great and large AI instantly.

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“…Introduction [1]. Behavior tree is a graphical, modeling language and a good approach for developing big AI systems for games in a short period a time.…”

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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confidence: 99%

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Creating AI for games with Unreal Engine 4

Kushnir¹,

Koman²

2018

ELIT

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How to early integrate operational diagnosis objectives in model‐driven engineering processes: A methodological proposal based on fault and behavior trees

Christofi,

Baron,

Pucel

et al. 2023

Systems Engineering

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To help operators perform their diagnosis tasks more efficiently, the authors put forward a novel methodology introducing a new type of model, dedicated to operations, co‐created in parallel with the design models, in the preliminary stages of system development, using the language semantics of behavior trees. In this paper, the authors present the need for this new model type as expressed by the industry and justify their choice for adopting behavior trees, while illustrating in detail the proposed methodology.

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Behavior Trees as a Control Architecture in the Automatic Modular Design of Robot Swarms

Kuckling

Ligot

Bozhinoski

et al. 2018

Lecture Notes in Computer Science

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Previous research has shown that automatically combining low-level behaviors into a probabilistic finite state machine produces control software that crosses the reality gap satisfactorily. In this paper, we explore the possibility of adopting behavior trees as an architecture for the control software of robot swarms. We introduce Maple: an automatic design method that combines preexisting modules into behavior trees. To highlight the potential of this control architecture, we present robot experiments in which we compare Maple with Chocolate and EvoStick on two missions: foraging and aggregation. Chocolate and EvoStick are two previously published automatic design methods. Chocolate is a modular method that generates probabilistic finite state machines and EvoStick is a traditional evolutionary robotics method. The results of the experiments indicate that behavior trees are a viable and promising architecture to automatically generate control software for robot swarms.JK and AL contributed equally to the research and should be considered co-first authors. Behavior trees were originally brought to the attention of the authors by DB. The proposed method was conceived by the four authors. It was implemented and tested by JK and AL. The initial draft of the manuscript was written by JK and AL and then revised by DB and MB. The research was directed by MB.The final authenticated version is available online at https://doi.

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How Behavior Trees Modularize Hybrid Control Systems and Generalize Sequential Behavior Compositions, the Subsumption Architecture, and Decision Trees

Cited by 155 publications

References 21 publications

Creating AI for games with Unreal Engine 4

Creating AI for games with Unreal Engine 4

How to early integrate operational diagnosis objectives in model‐driven engineering processes: A methodological proposal based on fault and behavior trees

Behavior Trees as a Control Architecture in the Automatic Modular Design of Robot Swarms

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