Stochastic policies often outperform deterministic ones. This is especially true for Constrained Stochastic Shortest Path (C-SSP) problems, a popular approach to planning under uncertainty with multiple objectives. Nevertheless, there are moral concerns ...

Self-adaptive systems typically operate in heterogeneous environments and need to optimize their behavior based on a variety of quality attributes to meet stakeholders' needs. During adaptation planning, these quality attributes are considered in the ...

In highly automated driving (HAD), it is still an open question how machines can safely hand over control to humans, and if an advance notice with additional explanations can be beneficial in critical situations. Conceptually, use of formal methods ...

Plan recognition is the task of inferring the actual plan an observed agent is performing to achieve a goal, given domain theory and a partial, possibly noisy, sequence of observations. Applications include natural language processing, elder-care, multi-...

Efficient use of automated planning and scheduling has been proposed in the Industry 4.0 context involving multiple robotic agents. Temporal planners are typically employed with durative actions included for concurrent plan scheduling and execution. ...

Health dialogue systems are required to respect some special requirements such as predictability and reliability. While knowledge based approaches still seem to be the most appropriate for these systems, the automated generation of reliable policies ...

The level of expressiveness of planning domain models determines their accuracy in describing real-world domains as well as their efficiency in terms of performance of planners. More expressive models might be accurate but hard for planners while less ...

Explainable AI is becoming an area of key focus in Artificial Intelligence. Within Automated Planning (AP) the area Explainable Planning (XAIP) focuses on explanations of the planning process. The relative transparency and flexibility of the planning ...

Recent advances in automated planning are leading towards the use of planning engines in a wide range of real-world applications. As the exploitation of planning techniques in applications increases, it becomes imperative to assess the robustness of ...

Intention recognition is the process of using behavioural cues to infer an agent's goals or future behaviour. In face-to-face communication, our gaze implicitly signals our point of interest within the environment and therefore, inadvertently leaks our ...

One of the pivotal challenges presented to urban traffic controllers is the effective utilization of the transport infrastructure, as a result of the growing urbanization and of the increasing number of vehicles.

In response to this challenge, here we ...

The ability of an AI agent to build mental models can open up pathways for manipulating and exploiting the human in the hopes of achieving some greater good. In fact, such behavior does not necessarily require any malicious intent but can rather be ...

Automated Planning deals with reasoning processes where a set of goals must be achieved from an initial state using some actions. Most work on planning have a static view of goals; they are given at start of the planning process and they do not change ...

Cyber Physical Processes (CPPs) refer to a new generation of business processes enacted in many application environments (e.g., emergency management, smart manufacturing, etc.), in which the presence of Internet-of-Things devices and embedded ICT systems (...

Contingent planning models a robot in a partially observable environment and (non)deterministic actions. In a contingent planning problem, a solution can be found by doing a search in a space of belief states, where a belief state is represented by a ...

Cloud computing has enabled myriad of applications to benefit from dynamic allocation of resources. Yet, as the offer of resources and pricing schema varies, the selection of the best configuration to adapt to environment conditions and business goals ...

Robotics is a reasonably mature technology when robots are restricted to operating with well-known and well-engineered environments, e.g. in manufacturing robotics or domestic applications such as vacuum cleaning or lawn mowing. For more diverse tasks ...

Red teams play a critical part in assessing the security of a network by actively probing it for weakness and vulnerabilities. Unlike penetration testing - which is typically focused on exploiting vulnerabilities - red teams assess the entire state of a ...

The application of intelligent systems in industrial environments is still restricted, although autonomous systems based on artificial intelligence AI techniques have been under development for over 50 years and spreading into several areas since the ...

The application of intelligent systems in industrial environments is still restricted, although autonomous systems based on artificial intelligence AI techniques have been under development for over 50 years and spreading into several areas since the ...