Title: Unstructured Agent Matchmaking
1Unstructured Agent Matchmaking Experiments in
Timing and Fuzzy Matching
Elth Ogston and Stamatis Vassiliadis Computer
Engineering Laboratory TU Delft
2- Are there elements of coordination within large
multi-agent systems that can be obtained for
free? i.e. - Without complicated agent algorithms (planning,
scheduling, intelligence) - Without external structure
- (facilitators, directories, blackboards, know
topology)
3- Matchmaking how do agents that require an
outside service find other agents who are willing
to provide that service? - Assume redundancy of providers and consumers
- (MAS are open, flexible and component based)
- Simple agents
- Coordination without outside help
- How studied? - Simulation of an abstract model.
- Results? - We find that there are conditions
under which simple unaided agents do find matches - This paper checking two further conditions,
timing and how matches are determined
4Talk Organization
- General philosophy
- Overview of our model and previous results
- Some new results on timing and forms of matching
- Summary of further work
5Philosophy - scalability
Multi-agent systems can in theory be
world/internet size.
However they often make use of systems
components, like directories, that dont scale
well why?
Humans tend to believe in (central) control (God,
aliens, The Illuminati, The FBI, Mom)
Scientists and engineers who design computers are
trained to see order in the world.
6Philosophy sloppy systems
Natural systems tend to be redundant and full of
failures. Lets try looking at coordination not
as beautifully interlocking clockwork but as an
cloud that just happens to look like an elephant
when you squint a bit, turn it upside down, and
ignore that part over there.
7Philosophy matchmaking thought experiment
Imagine a number between 1 and 10.
How would you find someone else in the room with
the same number?
Now scale up, find someone in Delft with a number
between 1 and 100,000
8Model - Components
9Model -Actions
10Model - Properties
- There are several good matches available
- We arent looking for the global best match
- Not all agents need to be successful
- No centralized directory
- No predefined structure
- Agents are simple
- Agents only know about their immediate
surroundings
11Previous Results
- Matches are found
- Limited by the number of task categories and the
number of neighbors to each agent - Limiting cluster size creates a distributed
system - Replacing tasks creates a dynamic system
12New Results
- System timing doesnt play a role in coordination
- Deterministic category matches produce the same
behavior as discreet matches
13Agents moving in sync vs. agents moving in a
random order
14Discreet matches vs. probabilistic matches
15Further Work
- AAMAS 2002 comparison of a peer-to-peer auction
with a centralized auction - P2P shows same auction behavior
- As we add more agents P2P has constant message
costs vs. linear for a central auctioneer
16More Info.
http//ce.et.tudelft.nl/elth/