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.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Robot Talk Episode 168 – Advancing robotics with novel electronics, with Zlatka Stoeva

  30 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Zlatka Stoeva from DZP Technologies about flexible, stretchable and soft printed electronics for dexterous robots.

Competing in RoboCup@Home and winning the 2026 best paper award: an interview with Raphael Memmesheimer

and   28 Oct 2026
Hear more about Raphael's research and his involvement in the RoboCup@Home league.

Robots in Society, Business and Culture: September 2026

We showcase a selection of robotics stories from society, business, research and culture.

Robot Talk Episode 167 – Automating construction, with Jan Petrš

  23 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Jan Petrš from École Polytechnique Fédérale de Lausanne about novel robot designs for construction and architecture.

ACM SIGAI Autonomous Agents Award 2027 open for nominations

  20 Oct 2026
Nominations are solicited for the 2027 ACM SIGAI Autonomous Agents Research Award.

Powered by muscle cells, a paper-thin robot swims through watery maze

  19 Oct 2026
MIT engineers’ new aquabot offers a way to design small, efficient “biohybrid” robots.

Robot Talk Episode 166 – Evolving robot bodies and brains, with Rika Antonova

  16 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Rika Antonova from the University of Cambridge about using artificial intelligence to develop complimentary robot hardware and algorithms.


↑


AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence