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14 years 5 months ago
Sparse reward processes
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Christos Dimitrakakis
FOCS
2009
IEEE
16 years 1 months ago
On Allocating Goods to Maximize Fairness
Given a set A of m agents and a set I of n items, where agent A ∈ A has utility uA,i for item i ∈ I, our goal is to allocate items to agents to maximize fairness. Specificall...
Deeparnab Chakrabarty, Julia Chuzhoy, Sanjeev Khan...
IAT
2007
IEEE
16 years 20 days ago
Formalizing Practical Reasoning Under Uncertainty: An Argumentation-Based Approach
Practical reasoning (PR), as advocated by philosophers is concerned by reasoning about what agents should do. It follows mainly two steps. A deliberation one for identifying the g...
Leila Amgoud, Henri Prade
ATAL
2007
Springer
16 years 16 days ago
Goals in the context of BDI plan failure and planning
We develop a Belief-Desire-Intention (BDI) style agent-oriented programming language with special emphasis on the semantics of goals in the presence of the typical BDI failure han...
Sebastian Sardiña, Lin Padgham
ATAL
2003
Springer
15 years 11 months ago
Evolving social rationality for MAS using "tags"
Endowing agents with “social rationality” [10, 12, 11] can aid overall efficiency in tasks where cooperation is beneficial to system level performance. However it is difficult...
David Hales, Bruce Edmonds