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DAGSTUHL
2007
13 years 9 months ago
Learning Probabilistic Relational Dynamics for Multiple Tasks
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer...
ATAL
2008
Springer
13 years 9 months ago
No-regret learning and a mechanism for distributed multiagent planning
We develop a novel mechanism for coordinated, distributed multiagent planning. We consider problems stated as a collection of single-agent planning problems coupled by common soft...
Jan-P. Calliess, Geoffrey J. Gordon
ATAL
2007
Springer
14 years 1 months ago
Estimating information value in collaborative multi-agent planning systems
This paper addresses the problem of identifying the value of information held by a teammate on a distributed, multi-agent team. It focuses on a distributed scheduling task in whic...
David Sarne, Barbara J. Grosz
DEON
2004
Springer
14 years 1 months ago
Collective Obligations and Agents: Who Gets the Blame?
This work addresses the issue of obligations directed to groups of agents. Our main concern consists in providing a formal analysis of the structure connecting collective obligatio...
Davide Grossi, Frank Dignum, Lambèr M. M. R...
HICSS
2003
IEEE
134views Biometrics» more  HICSS 2003»
14 years 28 days ago
Scheduling the Supply Chain by Teams of Agents
When a supply chain is established supply chain management (SCM) needs supporting tools for the tasks of operative planning, scheduling, and coordination. These tasks have to be p...
Jürgen Sauer, Hans-Jürgen Appelrath