Thede, speaking at the Fall 2003 STIET workshop
Academic Bio for Thede Loder
Thede Loder is a third year graduate student in Computer Science at the
University of Michigan and is concentrating in Artificial
Intelligence. As a participant in the U of M's STIET program,
he is involved in cross discipinary research - and is currently
focused on the problem of email spam, or more generally, on
improving efficiency in marketplaces for communication and the attention
required to process it. Thede's AI interests include multi-agent systems,
decision theory, complex adaptive systems, and biologically/economically
inspired agent models. As such, he is studying the application of learning
and economic awareness in agents (peers) in peer to peer networks.
In particular, he is interested in how macro-scale multi-agent systems
phenomena (such as supply chain efficiency) can arise from local
decision making and to what
extent such decisions can be managed through the use of incentives and
reputation systems.
Prior to coming to
the University of Michigan, Thede was a partner at the IT consulting firm
Diamond Technology Partners, of Chicago, and was the CEO and CTO of
Leverage Information Systems in San Francisco, a provider of application
server software and related services. Before co-founding Leverage,
he was a lead software developer at match.com. Thede has a BS in Mechanical
Engineering from the University of Rochester, and completed additional
coursework at UC Berkeley.
Awards/Honors
- University of Michigan,
STIET Program. Graduate
Fellowship (Socio-Techical Infrastructure for Electronic Transactions)
- University of Rochester, Charles L. Newton Prize
(outstanding undergraduate research in applied sciences)
- University of Hawaii, Department of Geophysics, NSF-REU Program
- University of Rochester, Hook Award, Mechanical Engineering
- University of Rochester, Emil Kuichling Prize, Mechanical Enginering
- Member of Phi Beta Kappa National Honor Society
Papers and Presentations
Papers and Presentations written by Thede Loder
and colleagues:
2004
Information Economics
2003
Information Economics
- An Economic Solution to Spam
(with Marshall Van Alystyne and Rick Wash)
This lecture was presented by Marshall Van Alstyne at the the Oct 2nd, 2003
STIET seminar
This material is based upon work supported by the National Science
Foundation under Grant No. 0114368. Any opinions, findings, and
conclusions or recommendations expressed in this material are those of
the author(s) and do not necessarily reflect the views of the National
Science Foundation.
Peer to Peer, Social Networks, Multi-Agent Systems of self-interested
agents
-
Heuristic Strategy and Incentives in Distribution Networks of
Competitive Agents - Ongoing research update,
Presented at the STIET Fall 2003 Workstop
This material is based upon work supported by the National Science
Foundation under Grant No. 0114368. Any opinions, findings, and
conclusions or recommendations expressed in this material are those of
the author(s) and do not necessarily reflect the views of the National
Science Foundation.
2002
Operating Systems
Affiliations
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