There has been significant interest of late in generating behavior of agents that is
interpretable to the human (observer) in the loop. However, the work in this area has …

ChatGPT, an AI chatbot, has gained popularity for its capability in generating human-like
responses. However, this feature carries several risks, most notably due to its deceptive …

This paper presents FAMA, a novel approach for learning Strips action models from
observations of plan executions that compiles the learning task into a classical planning …

In complex situations involving communication, agents might attempt to mask their
intentions, exploiting Shannon's theory of information as a theory of misinformation. Here …

From its inception, artificial intelligence (AI) has had a rather ambivalent relationship with
humans—swinging between their augmentation and replacement. Now, as AI technologies …

Users of AI systems may rely upon them to produce plans for achieving desired objectives.
Such AI systems should be able to compute obfuscated plans whose execution in …

In 2000, it was predicted that artificially intelligent agents would inevitably become
deceptive. Today, in a world seemingly awash with fake news and in which we hand over …

We introduce a novel framework to formalize and solve transparent planning tasks by
executing actions selected in a suitable and timely fashion. A transparent planning task is …

Goal recognition is the problem of determining an agent's intent by observing her behaviour.
Contemporary solutions for general task-planning relate the probability of a goal to the cost …

High-level task planning under adversarial environments is one of the central problems in
the development of autonomous systems such as unmanned ground vehicles (UGV) …