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» Logical Agents for Language and Action
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AAAI
2006
13 years 9 months ago
Learning Partially Observable Action Models: Efficient Algorithms
We present tractable, exact algorithms for learning actions' effects and preconditions in partially observable domains. Our algorithms maintain a propositional logical repres...
Dafna Shahaf, Allen Chang, Eyal Amir
JCP
2008
139views more  JCP 2008»
13 years 8 months ago
Agent Learning in Relational Domains based on Logical MDPs with Negation
In this paper, we propose a model named Logical Markov Decision Processes with Negation for Relational Reinforcement Learning for applying Reinforcement Learning algorithms on the ...
Song Zhiwei, Chen Xiaoping, Cong Shuang
ICTAI
2008
IEEE
14 years 2 months ago
The System BioC for Reasoning about Biological Models in Action Language C
We elaborate upon the usage of action language C for representing and reasoning about biological models. First, we provide a simple extension of C allowing for variables and show ...
Steve Dworschak, Torsten Grote, Arne König, T...
DALT
2009
Springer
14 years 2 months ago
Reasoning and Planning with Cooperative Actions for Multiagents Using Answer Set Programming
In this paper, we investigate the multiagent planning problem in the presence of cooperative actions and agents, which have their own goals and are willing to cooperate. To this en...
Tran Cao Son, Chiaki Sakama
AAAI
2007
13 years 10 months ago
A Logic of Agent Programs
We present a sound and complete logic for reasoning about SimpleAPL programs. SimpleAPL is a fragment of the agent programming language 3APL designed for the implementation of cog...
Natasha Alechina, Mehdi Dastani, Brian Logan, John...