Developing complex robotic systems endowed with self-conscious abilities and subjective experience is a hard requirement to face at design time. This paper deals with the developme...
Antonio Chella, Massimo Cossentino, Valeria Seidit...
In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
Affective reasoning plays an increasingly important role in cognitive accounts of social interaction. Humans continuously assess one another's situational context, modify the...
ReAgents are remotely executing agents that customize Web browsing for non-standard resource-limited clients. A reAgent is essentially a "one-shot" mobile agent that act...
This paper presents a Hierarchical Context Hidden Markov Model (HC-HMM) for behavior understanding from video streams in a nursing center. The proposed HC-HMM infers elderly behav...