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12 years 7 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
14 years 3 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
14 years 3 months 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
14 years 3 months 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
14 years 2 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