Networked Searches & Searches in Networks:
New Horizons in Search Theory
September 3-4, 2003

Contents
Artwork Gallery
Participants
Candid Photos
Sitemap

Day 1
Introduction

A Short History of Distributed Search

Distributed Networked Forces

Simulation & Evolution

Another View of Small World

Agent Searches in the Bay of Biscay

Social and Organizational Search

Day 2
Morning Colloquium
Afternoon Colloquium

 

Introduction and Welcome

Jeff Cares, Alidade Incorporated

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Welcome to the third annual New Horizons in Search Theory Workshop. In the Navy, there is a tradition of literally "welding" everything together.

What we want to do is take these structured platforms that are welded together and break them up, so that everything is broken up and interacting with each other.

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New Horizons in Search Theory: From Abstraction to Application

1st Annual Workshop

In our first year, we explored Search Theory itself. Search Theory was developed when operators and academics collaborated to apply mathematics to a very tangible task (ASW). The early successes contributed to the foundations of OR. This field now consists of two types of professionals, the analysts who work directly with operators and the academics who develop new mathematical results. These two groups have diverged. The OR Analysts continue to ply their trade, mostly in ASW. And the Academics have gravitated to extraordinarily abstract results in complex multivariate mathematics.

(Below is an overview of the presentations from the first years.)

A Conversation about Searches
Dr. Brian McCue, Center for Naval Analyses gave a presentation on the overview of Search Theory in ASW operations that discussed physical and nonphysical searches and means of estimating the numbers of targets that were not detected.

Hard Search Problems: Recent Developments in Heuristic Optimization
Dr. Jose Lobo, Cornell University focused on business applications of search processes.

Multi-Paradigm Optimization
William Macready, Bios Group discussed matching the biases inherent in an algorithm with the nature of the problem being addressed.

The Art, Science and Politics of Modeling Combat
Dr. Martin Shubik, Yale University presented on art, science and politics in getting things done in defense circles. He also discussed how the growth of technology has created an "opaqueness in understanding what we are doing".

Genetic Range Dependent Algorithm for Search Planning (GRASP)
Don Debalzo, NRL talked about ASW search planning Tactical Decision Aid (TDA) which uses current environmental data to calculate sensor performance and optimum search tracks for up to several heterogeneous sensors. The GRASP algorithm adjusts waypoints in candiated paths to produce the optimum search track over time.

Colloquium
During the second day colloquium we probed some questions. The first question was, "Is Search still relevant?" One participant suggested that if we succeed in blanketing the battlespace with a very large number of sensors, we might be able to apply the asset allocation model for search planning. The second question was, "How is Search initiated?" The thrust of this question was, who, in future combat organizations, will determine that unfulfilled information requirements exist and direct a search effort?

What does it take to bring scientific rigor to the heuristic algorithms? The group noted three broad issues surfaced repeatedly, and that these may be good themes around which to organize. The issues were: network design, use of heuristics and specific algorithms to solve real world problems. We ended with a discussion around applications beyond the Navy.

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New Horizons in Search Theory: "Search Theory, Invented Now"

Second Annual Workshop

During the second year in 2002 , we talked about a third claimant to search solutions. Almost every advanced warfare concept depends on high-performance collective robotics, most notably for search and surveillance operations. This raises an intriguing proposition. Might arranging the instruments of a search (collective autonomous agents) require the same complex optimization solutions as the process of the search (finding the target)?

If so, we are on the verge of a new, ironic definition of Search Theory. More importantly, it appears that the fundamental precepts of Koopman-style Search Theory (KST) might warrant reconsideration.

If this might be similar to KST, we could use Monte Carlo techniques, and perhaps involve more statistics, or use functional forms that require numerical solutions by modern computers. One might think of the search as updating a Bayesian "prior" to where the target isn't. In other words, it might look a lot like what people are doing today to modify KST. It might look dramatically different in other ways as well.

Might searchers and agents, applying a selection of local rules, sometimes change modes or states, so as to switch to a new menu of rules? Might the robotic elements of a future force act as such agents? Koopman’s later editions of Search and Screening included an exploration of Information Theory, a topic unknown before World War II. How might Information Theory contribute to a modern Search Theory?

Below is an overview of the presentations from the second year:

Jeff Cares, Alidade Incorporated

  • Recap of last year
  • Statements of interest

Dr. Brian McCue, CNA

  • Midway Game
  • Very “agent-looking”
  • Dynamic co-evolution
  • Intent very difficult to discern from knowledge of physical elements
    Sessions

Dr. Brian McCue, CNA

  • “Search Theory, Invented Now”
  • Recognition of KST as a product of its time
  • Suggestion that problem may be more complex

CDR Mike Rimmer, RN, Naval Warfare Development Command

  • “Future Concepts of Military Search”Expeditionary Sensor Grid, FORCEnet, FCS, etc.
  • Formulation of the operators’ estimates of the problem

Dr. Doug Gage, DARPA-SDR

  • “Distributed Robotics and Problems of Search”
  • Review of existing DARPA efforts with robotic collective
  • Discussion of engineering problems
  • Hard for engineers to build ‘em cheap

Dr. Fred Glover, OptTek, Inc., U of Colo.

  • “TABU Search”
  • Discussion of TABU search methods and effectiveness

Dr. Ralph Klingbeil, Naval Undersea Warfare Center

  • “Search with Distributed Forces”
  • Summary of research into dimensions of the problem
  • Rudimentary exploration of the contributions of distributed forces

Cpt Alistair Dickie, Royal Austrailian Army

  • “Multi-Agent Robot Swarm Simulation”
  • Discussion of his research at NPS
  • Demonstration of his simulation

LtCol Ray Hill, AFIT

  • “Agent-Based Analysis of U-Boats in Bay of Biscay”
  • ABM treatment of (new) classic McCue work
  • Raised interesting questions about validation of ABM results

Dr Josh Epstein, Brookings Institute

  • “The Spread of Disease in Populations”
  • Recent work for NSF
  • Explored the dynamics of contagion, death and recovery

Dr. Rob Axtell, Brookings Institute

  • “Operations Research as a Subset of Multi-Agent Systems (MAS)”
  • Intentionally provocative suggestion
  • Explored the usefulness of MAS simulations when closed form equations fail

Dr. Alfred Brandstein, MCCDC/Mary McDonald, SAIC

  • “Search Theory in Light of the El Farol Problem”
  • “Co-evolving Strategies between Red and Blue”
  • Discussion of the competitive dynamics of Search

Colloquium

During the second day we discussed how can we Validation, Verification and Accredidation (VV&A) be applied to agent-based models.

If we can’t VV&A with Blue and Red dots, how will we gain confidence in new C2 systems for distributed search? There was also discussion around the engineering of Distributed Systems. As the Search Theory member of an engineering team building robotic systems, what recommendations should be made to the team? Consensus was that our knowledge of the problem is too immature to make such recommendations on how can we VV&A Agent-Based Models?

New Horizons in Search Theory: “NETWORKED SEARCHES AND SEARCHES IN NETWORKS

Our Third Annual Workshop

This brings us to this year. We have two new problems. Networked Search (High-performance collective robotics, swarms, sensor grids, etc) and Search in Networks (data mining and distributed problem solving). We are going to hear presentations on:

  • Distributed Networked Forces

  • Another View of the Small World

  • Agent Searches in the Bay of Biscay

  • Monte Carlo Simulation

  • Social and Organizational Search

 

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