Biologically Inspired Design Principles for Scalable, Robust, Adaptive, Decentralized Search and Automated Response (RADAR)

11/18/2010
by   Melanie Moses, et al.
0

Distributed search problems are ubiquitous in Artificial Life (ALife). Many distributed search problems require identifying a rare and previously unseen event and producing a rapid response. This challenge amounts to finding and removing an unknown needle in a very large haystack. Traditional computational search models are unlikely to find, nonetheless, appropriately respond to, novel events, particularly given data distributed across multiple platforms in a variety of formats and sources with variable and unknown reliability. Biological systems have evolved solutions to distributed search and response under uncertainty. Immune systems and ant colonies efficiently scale up massively parallel search with automated response in highly dynamic environments, and both do so using distributed coordination without centralized control. These properties are relevant to ALife, where distributed, autonomous, robust and adaptive control is needed to design robot swarms, mobile computing networks, computer security systems and other distributed intelligent systems. They are also relevant for searching, tracking the spread of ideas, and understanding the impact of innovations in online social networks. We review design principles for Scalable Robust, Adaptive, Decentralized search with Automated Response (Scalable RADAR) in biology. We discuss how biological RADAR scales up efficiently, and then discuss in detail how modular search in the immune system can be mimicked or built upon in ALife. Such search mechanisms are particularly useful when components have limited capacity to communicate and social or physical distance makes long distance communication more costly.

READ FULL TEXT
research
07/31/2023

Tracking mulitple targets with multiple radars using Distributed Auctions

Coordination of radars can be performed in various ways. To be more resi...
research
08/23/2013

Artificial Immune Systems (INTROS 2)

The biological immune system is a robust, complex, adaptive system that ...
research
09/11/2018

From Natural to Artificial Camouflage: Components and Systems

We identify the components of bio-inspired artificial camouflage systems...
research
11/30/2019

Latent Semantic Search and Information Extraction Architecture

The motivation, concept, design and implementation of latent semantic se...
research
05/06/2020

Do we know the operating principles of our computers better than those of our brain?

The increasing interest in understanding the behavior of the biological ...
research
03/20/2018

Decentralized decision making for networks of uncertain systems

Distributed model predictive control (MPC) has been proven a successful ...
research
10/19/2012

Decentralized Sensor Fusion With Distributed Particle Filters

This paper presents a scalable Bayesian technique for decentralized stat...

Please sign up or login with your details

Forgot password? Click here to reset