activity
20192022
most citedSimulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering

2 citations · 5 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.AI2022

Anticipatory Counterplanning

Alberto Pozanco, Yolanda E-Martín, Susana Fernández +1

In competitive environments, commonly agents try to prevent opponents from achieving their goals. Most previous preventing approaches assume the opponent's goal is known a priori.…

cs.AI20201 cited

Domain-independent generation and classification of behavior traces

Daniel Borrajo, Manuela Veloso

Financial institutions mostly deal with people. Therefore, characterizing different kinds of human behavior can greatly help institutions for improving their relation with customer…

cs.AI20201 cited

Goal recognition via model-based and model-free techniques

Daniel Borrajo, Sriram Gopalakrishnan, Vamsi K. Potluru

Goal recognition aims at predicting human intentions from a trace of observations. This ability allows people or organizations to anticipate future actions and intervene in a posit…

cs.AI20202 cited

Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering

Daniel Borrajo, Manuela Veloso, Sameena Shah

Many business applications involve adversarial relationships in which both sides adapt their strategies to optimize their opposing benefits. One of the key characteristics of these…

cs.AI20191 cited

Guarantees for Sound Abstractions for Generalized Planning (Extended Paper)

Blai Bonet, Raquel Fuentetaja, Yolanda E-Martin +1

Generalized planning is about finding plans that solve collections of planning instances, often infinite collections, rather than single instances. Recently it has been shown how t…