Robohub.org
 

ShanghAI Lectures: Samia Nefti-Mezziani “Non-rational Particle Swarm Optimization”


by
09 January 2014



share this:

Nefti-MezianiSamiaGuest talk in the ShanghAI Lectures, 2009-12-03

Among the evolutionary algorithms, Particle Swarm Optimization (PSO) represents an optimization method where individuals, called particles, collaborate as a swarm to reach a collective goal. However, the usual logical decision processes used in the literature to model individual agent behaviour are generally found to be inadequate when the phenomena of uncertainty and risk are factored into the evolutionary process; and also incapable of fully emulating actual human decision-making behaviours under risk and uncertainty.

In this talk, I will propose a significant modification to agent reasoning processes employed so far in conventional Swarm Intelligence Techniques. I will show that endowing each particle with a non-rational behaviour, in the sense of Prospect Theory, can improve considerably the efficiency of global searching procedures. The results of this proposed technique is illustrated by numerical results obtained from applications to classical problems quoted in the literature.

The ShanghAI Lectures are a videoconference-based lecture series on Embodied Intelligence, run and organized by Rolf Pfeifer (from 2009 till 2012), Fabio Bonsignorio (since 2013), and me with partners around the world.

https://www.youtube.com/watch?v=ML_MytzonS8

Dr Samia Nefti is Associate Professor Reader in Computational Intelligence at University of Salford and head of Computational Intelligence and Robotics Research Group. She is a leading expert internationally in artificial intelligence and her research interests over the last 19 years are concerned with the development of cognitive models for information processing and decision support systems for complex and non-linear systems and fuzzy optimasation and clustering. Dr Nefti has published and edited extensively in the above areas, which appeared in leading academic journals. She has also organized many international and national conference and workshop. She has been involved and led national (EPSRC, TSB) and European (FP5, FP6) multi-disciplinary research projects. She is a Chartered member of BCS and active member of the European Network for the Advancement of Artificial Cognitive Systems and Vice-President of IEEE UKRI Chapter in Robotics and Automation.

The ShanghAI lectures have brought us a treasure trove of guest lectures by experts in robotics. You can find the whole series from 2012 here. Now, we’re bringing you the guest lectures you haven’t yet seen from previous years, starting with the first lectures from 2009 and releasing a new guest lecture every Thursday until all the series are complete. Enjoy!



tags: , ,


Nathan Labhart Co-organizing the ShanghAI Lectures since 2009.
Nathan Labhart Co-organizing the ShanghAI Lectures since 2009.





Related posts :



Robot Talk Episode 140 – Robot balance and agility, with Amir Patel

  16 Jan 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Amir Patel from University College London about designing robots with the agility and manoeuvrability of a cheetah.

Taking humanoid soccer to the next level: An interview with RoboCup trustee Alessandra Rossi

and   14 Jan 2026
Find out more about the forthcoming changes to the RoboCup soccer leagues.

Robots to navigate hiking trails

  12 Jan 2026
Find out more about work presented at IROS 2025 on autonomous hiking trail navigation via semantic segmentation and geometric analysis.

Robot Talk Episode 139 – Advanced robot hearing, with Christine Evers

  09 Jan 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Christine Evers from University of Southampton about helping robots understand the world around them through sound.

Meet the AI-powered robotic dog ready to help with emergency response

  07 Jan 2026
Built by Texas A&M engineering students, this four-legged robot could be a powerful ally in search-and-rescue missions.

MIT engineers design an aerial microrobot that can fly as fast as a bumblebee

  31 Dec 2025
With insect-like speed and agility, the tiny robot could someday aid in search-and-rescue missions.

Robohub highlights 2025

  29 Dec 2025
We take a look back at some of the interesting blog posts, interviews and podcasts that we've published over the course of the year.

The science of human touch – and why it’s so hard to replicate in robots

  24 Dec 2025
Trying to give robots a sense of touch forces us to confront just how astonishingly sophisticated human touch really is.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence