Spiking Nonlinear Opinion Dynamics (S-NOD) for Agile Decision-Making

Charlotte Cathcart; Ian Xul Belaustegui; Alessio Franci; Naomi Ehrich Leonard

doi:10.1109/LCSYS.2024.3523845

Spiking Nonlinear Opinion Dynamics (S-NOD) for Agile Decision-Making

Charlotte Cathcart, Ian Xul Belaustegui, Alessio Franci, Naomi Ehrich Leonard

Research output: Contribution to journal › Article › peer-review

Abstract

We present, analyze, and illustrate a first-of-its-kind model of two-dimensional excitable (spiking) dynamics for decision-making over two options. The model, Spiking Nonlinear Opinion Dynamics (S-NOD), provides superior agility, characterized by fast, flexible, and adaptive response to rapid and unpredictable changes in context, environment, or information received about available options. S-NOD derives through the introduction of a single extra term to the previously presented Nonlinear Opinion Dynamics (NOD) for fast and flexible multi-agent decision-making behavior. The extra term is inspired by the fast-positive, slow-negative mixed-feedback structure of excitable systems. The agile behaviors brought about by the new excitable nature of decision-making driven by S-NOD are analyzed in a general setting and illustrated in an application to multi-robot navigation around human movers.

Original language	English (US)
Pages (from-to)	3267-3272
Number of pages	6
Journal	IEEE Control Systems Letters
Volume	8
DOIs	https://doi.org/10.1109/LCSYS.2024.3523845
State	Published - 2024

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Control and Optimization

Keywords

Adaptive systems
biologically-inspired methods
decision-making
excitable dynamics
robotics

Access to Document

10.1109/LCSYS.2024.3523845

Cite this

@article{4d5d4c9a706448bc83fd1be9faf33b66,

title = "Spiking Nonlinear Opinion Dynamics (S-NOD) for Agile Decision-Making",

abstract = "We present, analyze, and illustrate a first-of-its-kind model of two-dimensional excitable (spiking) dynamics for decision-making over two options. The model, Spiking Nonlinear Opinion Dynamics (S-NOD), provides superior agility, characterized by fast, flexible, and adaptive response to rapid and unpredictable changes in context, environment, or information received about available options. S-NOD derives through the introduction of a single extra term to the previously presented Nonlinear Opinion Dynamics (NOD) for fast and flexible multi-agent decision-making behavior. The extra term is inspired by the fast-positive, slow-negative mixed-feedback structure of excitable systems. The agile behaviors brought about by the new excitable nature of decision-making driven by S-NOD are analyzed in a general setting and illustrated in an application to multi-robot navigation around human movers.",

keywords = "Adaptive systems, biologically-inspired methods, decision-making, excitable dynamics, robotics",

author = "Charlotte Cathcart and Belaustegui, {Ian Xul} and Alessio Franci and Leonard, {Naomi Ehrich}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.",

year = "2024",

doi = "10.1109/LCSYS.2024.3523845",

language = "English (US)",

volume = "8",

pages = "3267--3272",

journal = "IEEE Control Systems Letters",

issn = "2475-1456",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Spiking Nonlinear Opinion Dynamics (S-NOD) for Agile Decision-Making

AU - Cathcart, Charlotte

AU - Belaustegui, Ian Xul

AU - Franci, Alessio

AU - Leonard, Naomi Ehrich

PY - 2024

Y1 - 2024

N2 - We present, analyze, and illustrate a first-of-its-kind model of two-dimensional excitable (spiking) dynamics for decision-making over two options. The model, Spiking Nonlinear Opinion Dynamics (S-NOD), provides superior agility, characterized by fast, flexible, and adaptive response to rapid and unpredictable changes in context, environment, or information received about available options. S-NOD derives through the introduction of a single extra term to the previously presented Nonlinear Opinion Dynamics (NOD) for fast and flexible multi-agent decision-making behavior. The extra term is inspired by the fast-positive, slow-negative mixed-feedback structure of excitable systems. The agile behaviors brought about by the new excitable nature of decision-making driven by S-NOD are analyzed in a general setting and illustrated in an application to multi-robot navigation around human movers.

AB - We present, analyze, and illustrate a first-of-its-kind model of two-dimensional excitable (spiking) dynamics for decision-making over two options. The model, Spiking Nonlinear Opinion Dynamics (S-NOD), provides superior agility, characterized by fast, flexible, and adaptive response to rapid and unpredictable changes in context, environment, or information received about available options. S-NOD derives through the introduction of a single extra term to the previously presented Nonlinear Opinion Dynamics (NOD) for fast and flexible multi-agent decision-making behavior. The extra term is inspired by the fast-positive, slow-negative mixed-feedback structure of excitable systems. The agile behaviors brought about by the new excitable nature of decision-making driven by S-NOD are analyzed in a general setting and illustrated in an application to multi-robot navigation around human movers.

KW - Adaptive systems

KW - biologically-inspired methods

KW - decision-making

KW - excitable dynamics

KW - robotics

UR - http://www.scopus.com/inward/record.url?scp=85214021748&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85214021748&partnerID=8YFLogxK

U2 - 10.1109/LCSYS.2024.3523845

DO - 10.1109/LCSYS.2024.3523845

M3 - Article

AN - SCOPUS:85214021748

SN - 2475-1456

VL - 8

SP - 3267

EP - 3272

JO - IEEE Control Systems Letters

JF - IEEE Control Systems Letters

ER -

Spiking Nonlinear Opinion Dynamics (S-NOD) for Agile Decision-Making

Abstract

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

Other files and links

Fingerprint

Cite this