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The field of Artificial Intelligence (AI) has become extremely prominent in recent times, with the integration of different intelligent components into devices and services we use in everyday life. As the capabilities of such systems become more and ...
My research is focused on modeling optimal decision making in partially observable multiagent environments. I began with an investigation into the cognitive biases that induce subnormative behavior in humans playing games online in multiagent settings, ...
I study the resource allocation problem, with a focus on computing environments (Cloud, Internet of Things), by employing market mechanisms such as auctions that consider supply and demand, and dynamic pricing in the decision process. However, current ...
Transfer learning in reinforcement learning is an area of research that seeks to speed up or improve learning of a complex target task, by leveraging knowledge from one or more source tasks. This thesis will extend the concept of transfer learning to ...
My thesis focuses on recognition and interventions of users' activities using open-ended and flexible software. In such exploratory settings, users' behavior is characterized by exploration, mistakes and trial-and-error. Exploratory domains provide a ...
In this abstract, we first propose a general robustness definition as the upper-bound of the stable region of an equilibrium strategy by generalizing existing bounded rationality models. Then, we develop a robustness evaluation framework, of which a key ...
Many scheduling problems in industry practice are considered as Decentralized Resource-Constrained Multi-Project Scheduling Problem (DRCMPSP). Given its characteristics, the problem must be solved in a decentralized manner while respecting information ...
The number of multi-robot systems deployed in field applications has risen dramatically over the years. Nevertheless, the part of the human operator in these systems has been mostly overlooked. In this work we propose a novel approach for utilizing ...
The main goal of our demonstration, is to show how an automated testing framework for cognitive agents facilitates the detection of failures and aids in the localization of faults. We have proposed an automated testing framework for cognitive agents and ...
Adaptive software agents like HEALER have been proposed in the literature recently to recommend intervention plans to homeless shelter officials. However, generating networks for HEALER's input is challenging. Moreover, HEALER's solutions are often ...
We present NWin, a tool that allows to count all different winning strategies in two-player turn-based games under the reachability condition. NWin uses a graphical interface to build the game model and collect all acyclic and cyclic winning strategies. ...
In this demonstration, we present PriGuardTool, which is a Web-based tool that can detect privacy violations in online social networks and notify the users accordingly. Our tool comes up with an interface where the users input their privacy concerns. An ...
While there are many multi-agent platforms, one that can support the creation of a cyber system (comprising static and mobile soft agents), which in turn can control physical systems, seems grossly missing. In this demonstration, we introduce Tartarus, ...
In this paper, we present an intelligent conversational agent enriched with automatic image understanding and facial expression recognition using state-of-the-art machine learning techniques for the advancement of autonomous interaction with the elderly ...
The management of (dis)stress is an important factor for a long and healthy life. Yet, stress affects people differently and everyone manages stress in different ways. In this paper we introduce PeSA, the Personality-enabled Stress Assistant, an agent-...
Cognitive abilities, including cognitive inhibition, degenerate with the aging process. In this demonstration, we present a Kinect-based interactive game which aims to improve the cognitive inhibition ability of the elderly. The game is designed in the ...
We propose a multilayered multiagent simulator that can simulate traffic in any urban environment on earth, subject to specific weather conditions. We adopt an agent-based approach for the behaviors of the vehicles and the drivers. We additionally ...
The role of virtual humans in a range of health scenarios, including therapy and counselling, are being explored. To help people in managing their emotional health this research project novelly investigates the value of a virtual practitioner to deliver ...
The design of a rational organization composed by a team of agents is a challenging problem in domains such as collective robotics, war games and military missions. In these domains, a team is designed to confront an opponent team with technical and ...
We extend the traditional framework of POMDPs to model resource consumption inducing a hard constraint on the behaviour of the model. Resource levels increase and decrease with transitions, and the hard constraint requires that the level remains ...