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AAAI
2006
15 years 6 months ago
A Value Theory of Meta-Learning Algorithms
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
Abraham Bagherjeiran
ATAL
2010
Springer
15 years 5 months ago
Internal implementation
We introduce a constrained mechanism design setting called internal implementation, in which the mechanism designer is explicitly modeled as a player in the game of interest. This...
Ashton Anderson, Yoav Shoham, Alon Altman
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FOSSACS
2009
Springer
15 years 11 months ago
Facets of Synthesis: Revisiting Church's Problem
In this essay we discuss the origin, central results, and some perspectives of algorithmic synthesis of nonterminating reactive programs. We recall the fundamental questions raised...
Wolfgang Thomas
ATAL
2007
Springer
15 years 10 months ago
A computational characterization of multiagent games with fallacious rewards
Agents engaged in noncooperative interaction may seek to achieve a Nash equilibrium; this requires that agents be aware of others’ rewards. Misinformation about rewards leads to...
Ariel D. Procaccia, Jeffrey S. Rosenschein
CCIA
2010
Springer
14 years 11 months ago
cOncienS: Organizational Awareness in Real-Time Strategy Games
The implementation of AI in commercial games is usually based on low level designs that makes the control predictable, unadaptive, and non reusable. Reorithms such as HTN or GOAP p...
Sergio Álvarez-Napagao, Ignasi Gómez...