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» Predicting Outcomes of Case-Based Legal Arguments
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ICAIL
2003
ACM
13 years 9 months ago
Predicting Outcomes of Case-Based Legal Arguments
In this paper, we introduce IBP, an algorithm that combines g with an abstract domain model and case-based reasoning techniques to predict the outcome of case-based legal argument...
Stefanie Brüninghaus, Kevin D. Ashley
ICCBR
2003
Springer
13 years 9 months ago
Combining Case-Based and Model-Based Reasoning for Predicting the Outcome of Legal Cases
This paper presents an algorithm called IBP that combines case-based and model-based reasoning for an interpretive CBR application, predicting the outcome of legal cases. IBP uses ...
Stefanie Brüninghaus, Kevin D. Ashley
ARGMAS
2006
Springer
13 years 8 months ago
Arguments and Counterexamples in Case-Based Joint Deliberation
Multiagent learning can be seen as applying ML techniques to the core issues of multiagent systems, like communication, coordination, and competition. In this paper, we address the...
Santiago Ontañón, Enric Plaza
FLAIRS
2007
13 years 6 months ago
An Argumentation Based Approach to Multi-Agent Learning
This paper addresses the issue of learning from communication among agents that work in the same domain, are capable of learning from examples, and communicate using an argumentat...
Santiago Ontañón, Enric Plaza