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» Strategies in sentential reasoning
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ATAL
2011
Springer
12 years 5 months ago
Using iterated reasoning to predict opponent strategies
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
Michael Wunder, Michael Kaisers, John Robert Yaros...
KES
2010
Springer
13 years 3 months ago
Adaptive Modelling of Users' Strategies in Exploratory Learning Using Case-Based Reasoning
Abstract. In exploratory learning environments, learners can use different strategies to solve a problem. To the designer or teacher, however, not all these strategies are known in...
Mihaela Cocea, Sergio Gutiérrez Santos, Geo...
WCE
2007
13 years 6 months ago
An Agent's Action Selection Strategy by Using Case-based Reasoning and Simulated Vision
— This paper presents an approach to agent’s action selection strategy called stepwise case-based reasoning (SCBR). In this paper an agent that roams in 3D synthetic world is c...
Haris Supic
EWCBR
2008
Springer
13 years 7 months ago
Recognizing the Enemy: Combining Reinforcement Learning with Strategy Selection Using Case-Based Reasoning
This paper presents CBRetaliate, an agent that combines Case-Based Reasoning (CBR) and Reinforcement Learning (RL) algorithms. Unlike most previous work where RL is used to improve...
Bryan Auslander, Stephen Lee-Urban, Chad Hogg, H&e...
AIIDE
2008
13 years 7 months ago
Adaptive Spatial Reasoning for Turn-based Strategy Games
The quality of AI opponents often leaves a lot to be desired, which poses many attractive challenges for AI researchers. In this respect, Turn-based Strategy (TBS) games are of pa...
Maurice H. J. Bergsma, Pieter Spronck