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Journal ArticleDOI

Non-linear dynamical system approach to behavior modeling

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TLDR
In this article, the authors present a dynamic systems approach to modeling and generating low-level behaviors for autonomous agents such as real-time target tracking and obstacle avoidance in time-varying environments.
Abstract
We present a dynamic systems approach to modeling and generating low-level behaviors for autonomous agents Such behaviors include real-time target tracking and obstacle avoidance in time-varying environments The novelty of the method lies on the integration of distinct non-linear dynamic systems to model the agent's interaction with the environment An angular velocity control dynamic system guides the agent's direction angle, while another dynamic system selects the environmental input that will be used in the control system The agent interacts with the environment through its knowledge of the position of stationary and moving objects In our system agents automatically avoid stationary and moving obstacles to reach the desired target(s) This approach allows us to prove the stability conditions that result in a principled methodology for the computation of the system's dynamic parameters We present a variety of real-time simulations that illustrate the power of our approach

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Citations
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Scalable behaviors for crowd simulation

TL;DR: This paper presents a new approach to controlling the behavior of agents in a crowd that is scalable in the sense that increasingly complex crowd behaviors can be created without a corresponding increase in the complexity of the agents.
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On synchronizing movements to music

TL;DR: In this article, a model of meter perception is proposed in which a musical stimulus provides input to a pattern-forming dynamical system under rhythmic stimulation, the system undergoes bifurcations that correspond to the birth of self-sustained oscillations and the formation of temporally structured patterns of oscillations.
Proceedings ArticleDOI

Realistic human walking paths

TL;DR: This work presents a novel behavioral model of path planning that extends previous models through its significant use of pedestrian performance statistics that were obtained during a suite of experiments, and develops an original interpretation of quantitative metrics for measuring a model's accuracy.
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Reactive pedestrian path following from examples

TL;DR: An approach for generating reactive path following based on the user’s examples of the desired behavior and it is shown that simple direction primitives can be recorded and used to build natural, reactive, path-following behaviors.
Journal ArticleDOI

Scalable nonlinear dynamical systems for agent steering and crowd simulation

TL;DR: A new methodology for agent modeling that is scalable and efficient, based on the integration of nonlinear dynamical systems and kinetic data structures is presented, which together model 3D agent steering, crowds and flocks among moving and static obstacles.
References
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Proceedings ArticleDOI

Flocks, herds and schools: A distributed behavioral model

TL;DR: In this article, an approach based on simulation as an alternative to scripting the paths of each bird individually is explored, with the simulated birds being the particles and the aggregate motion of the simulated flock is created by a distributed behavioral model much like that at work in a natural flock; the birds choose their own course.
Book

Vehicles, Experiments in Synthetic Psychology

TL;DR: Braitenberg's "vehicles" as mentioned in this paper are a series of hypothetical, self-operating machines that exhibit increasingly intricate if not always successful or civilized "behavior." Each of the vehicles in the series incorporates the essential features of all the earlier models and along the way they come to embody aggression, love, logic, manifestations of foresight, concept formation, creative thinking, personality, and free will.
Book ChapterDOI

Intelligence without reason

TL;DR: In this article, the authors make the converse claim that the state of computer architecture has been a strong influence on our models of thought, and they use non-Von Neumann computational models they use share many characteristics with biological computation.
Proceedings ArticleDOI

Improv: a system for scripting interactive actors in virtual worlds

TL;DR: The combined system provides an integrated set of tools for authoring the "minds" and "bodies" of interactive actors, using an english−style scripting language so that creative experts who are not primarily programmers can create powerful interactive applications.
Proceedings ArticleDOI

Artificial fishes: physics, locomotion, perception, behavior

TL;DR: A framework for animation that can achieve the intricacy of motion evident in certain natural ecosystems with minimal input from the animator is proposed and a physics-based, virtual marine world is developed.
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