1. Cnidarion
Information Management System Prototype
For
Synergy Moon LLC
Sayandeep Khan, Angele Lubin, David Galea, Curtis Owens
Team Progress Report
[PUBLIC RELEASE]
Jul 1 2012

2. Cnidarion ­ Contents
Problems
Solutions
Brain Model
Jellyfish Brain
Comparison to RL Scenario
Implementation
Code techniques
Command Overview
Concluding Remarks

3. Cnidarion – Problems (to solve)
Geographically distributed team
Assynchronous Communication
Optimal assignment of agents to locational activities
Lost information
Activities not often enough reported
Activities have little connection to each other
One activity hardly profits from another
Optimal activity grouping
Simple solution needed
Cnidarion

4. Cnidarion ­ Solutions
Optimization problem
Hall's marriage algorithm
Heuristic approach
Assynchronuos Reporting
Relational Database
Corollary : Trend and Cluster Analysis
Lost Information
Cluster Analysis
Combinatoric Analysis
Cellular Automata and Swarms

5. Cnidarion ­ Brain Model
Jellyfish as Prototype
Strictly: a nerve ring / net
Radially symmetric
All Input channels same
input priority
Swarm behavior for
Tentacle equivalent output
channels
Radially Symmetric
Nerve-ring Simple Memory
Tentacle Nerve
Simple Heuristics

6. Cnidarion Cnideria Comparison
Cnidarion : our system Cnidaria : Jellyfish
inspired from Jellyfish No active cognition –
Simple Turing Machine – genetic response to
rule table environment
Simple PDA Simple memory (of tides)
All inputs same priority Radial symmetry of input
Semantic Relation of inputs channels
(Another TM) Simple tentacle swarm

7. Cnidarion ­ Implementation
Turing machines:
Parses strings of particular
form
No formal database needed
Semantic relation between
strings
Modular
ECN node Stamp
Scalable

8. Cnidarion ­ Implementation
ECN order stamp
Order trend
Cluster
Form Preserving Prediction
Multiple ordering → multiple
semantic relation
ECN reordering scheme
Easy reordering for
assynchronous entry
sequence

9. Cnidarion – Command Overview
Agent Sierra
Scientist
Germany, EU
GEOsciences, MATHematics
Conference A, Theme X
Project B, Theme Y
showagent ­AGENTNAME ­FLAG
showes the agents. AGENTNAME : specifies one agent to

10. Cnidarion – Command Overview
Agent Lima ←→ Agent Sierra
PR ←→ Scientist
Sierra Report: Contacts of Sierra are sales targets (skill
target : Sales. Resource: LIMA)
Lima Report : need information for marketing campaigne
(skill target: Marketing. Resource: SIERRA)
relateagent ­AGENTNAME ­AGENTNAME
relationally relates two agents. No imput optional. Depends

11. Cnidarion – Command Overview
Agent Juliet ←→ Event Tango
Skill match
Location NOmatch
Preference 5
relateworld ­AGENTNAME ­EVENT (event omited will
find all events, sim. for agent)

12. Cnidarion – Concluding remarks
Implemented in scilab
Needs each agent to input their present geolocation, their
skills, their preferences to categories, which activities can
affect which subsection and which subsection help they
need
Needs list of events catagorized according to geolocations and
skills
Implementation technological readiness level : Successful
demo

13. Cnidarion – Concluded