… the ad hoc teamwork problem where an ad hoc agent … ad hoc agent play with each type of
teammate using the corresponding learned policy. We collect the states (input) and the ad hoc …

… In this work, we use three intelligent algorithms to optimize accuracy function for IDS. These
… The proposed IDS integrates machine learning intelligence and ambient intelligence …

… When we take the logic ity in Artificial Intelligence.” The topic turned out to … Moreover,
the difficulties that are thought of are often ad hoc, like that of the bird with its feet encased in …

… PACT employed an informal and ad hoc approach to ontology development, in which the
ontology was implicit and generated through a number of email messages among agent devel…

… as Communication in Ad hoc Teamwork, or CAT (Mirsky et al. 2020). The second contribution
of this paper is using EDP in a novel planning algorithm for ad hoc teamwork that reasons …

… We believe that given the speed of changes in artificial intelligence and robotics, if these
standards are created, they will lag behind the state-of-the-art protocols and agents will need to …

… Open ad hoc teamwork involves three main challenges that … We propose a novel algorithm
designed for open ad hoc teamwork… AAAI Conference on Artificial Intelligence, January 2015. …

Data gathering is the fundamental task of Wireless Sensor Networks (WSNs). Making a balance
between the energy consumption of sensors and the data gathering delay is considered …

… ABSTRACT Vehicular-ad hoc networks (VANETs) hold great importance because of their …
RL represents a class of artificial intelligence that implements a learning procedure based on …

… This paper proposes the concepts which consist of connected vehicles that exploit vehicular
ad hoc network (VANET) communication, embedded system integrated with sensors which …