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Research Seminar Series - The best-of-n problem with dynamic site qualities: Achieving adaptability with stubborn individuals

Event information

START DATE 23 January 2019
START TIME 04:00 PM
LOCATION

Middlesex University Dubai, Oasis Theatre

END DATE 23 January 2019
END TIME 05:00 PM

We are pleased to invite you to our Wednesday Research Seminar. It will be held on January 23rd  from 4pm, at Middlesex University Dubai in the Oasis Theatre, Block 16, Knowledge Park.

Wednesday Research Seminar Series was launched in 2008, and has featured more than 240 presentations to date. The seminars provide a forum for researchers to share their work. Presenters include faculty from Middlesex University Dubai and other universities in the United Arab Emirates, as well as researchers from other global institutions. Mr. Judhi Prasetyo will deliver seminar on:

“The best-of-n problem with dynamic site qualities: Achieving adaptability with stubborn individuals"

Judhi Prasetyo

Abstract

Collective decision-making is the ability of individuals to make a collective decisions without any centralized leadership, but only via local interactions and communication. The best-of-n problem is one subclass of collective decision-making, whereby the swarm has to select the best option among a set of n possible alternatives. Recently, the best-of-n problems has gathered momentum: a number of decision-making mechanisms have been studied or proposed focusing both on cases where there is an explicit measurable difference between the two qualities, as well as on cases when there are only delay costs in the environment driving the consensus to one of the n alternatives.

Originally inspired by how honey bees collectively decide which site is the best destination to build their nest, this research focused on the best-of-n problems in a dynamic environment setting where site qualities can be directly measured by agents, and abrupt changes were introduced to these qualities, whereby the two qualities are swapped at a given time to invert the convenience of the two alternatives.

Using computer simulations, we show that a vanilla application of the simplest decision-making mechanism, the voter model, does not guarantee adaptation of the swarm consensus towards the best option after the swap occurs. Therefore, we introduce the notion of stubborn agents, that are agents that are not allowed to change their opinion. We show that the presence of the stubborn agents is enough to achieve adaptability to dynamic environments, and we study the performance of the system with respect to a number of key parameters, such as the swarm size, the difference between the two qualities and the proportion of stubborn individuals.

Biography

For the past 25 years, Judhi has been providing both services in the information and communication field to various verticals including government entities and law enforcement agencies in more than 15 countries. His area of expertise ranging from IT Security and Cyber-defense, Radio Frequency Identification (RFID), Wireless Communication, Embedded System, Computer Programming, Robots Building, to Business Processes & Project Management.

Judhi received a Master of Science in Engineering Management Degree with Distinction from Middlesex University Dubai, and has been a member of Middlesex University Dubai teaching team since 2017.

If you are interested in presenting at one of our future seminars, or would like to recommend someone, please contact:  s.balasubramanian@mdx.ac.ae

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