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- Frasheri, Mirgita
(author)
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Modelling and Control of the Collaborative Behavior of Adaptive Autonomous Agents
- 2020
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Doctoral thesis (other academic/artistic)abstract
- Research on autonomous agents and vehicles has gained momentum in the past years, which is reflected in the extensive body of literature and the investment of big players of the industry in the development of products such as self-driving cars. Additionally, these systems are envisioned to continuously communicate and cooperate with one another in order to adapt to dynamic circumstances and unforeseeable events, and as a result will they fulfil their goals even more efficiently.The facilitation of such dynamic collaboration and the modelling of interactions between different actors (software agents, humans) remains an open challenge.This thesis tackles the problem of enabling dynamic collaboration by investigating the automated adjustment of autonomy of different agents, called Adaptive Autonomy (AA). An agent, in this context, is a software able to process and react to sensory inputs in the environment in which it is situated in, and is additionally capable of autonomous actions. In this work, the collaborative adaptive autonomous behaviour of agents is shaped by their willingness to interact with other agents, that captures the disposition of an agent to give and ask for help, based on different factors that represent the agent's state and its interests.The AA approach to collaboration is used in two different domains: (i) the hunting mobile search problem, and (ii) the coverage problem of mobile wireless sensor networks. In both cases, the proposed approach is compared to state-of-art methods.Furthermore, the thesis contributes on a conceptual level by combining and integrating the AA approach -- which is purely distributed -- with a high-level mission planner, in order to exploit the ability of dealing with local and contingent problems through the AA approach, while minimising the requests for a re-plan to the mission planner.
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| 3. |
- Steghöfer, Jan-Philipp, 1983, et al.
(author)
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The Next Generation of Socio-Technical Systems : Realizing the Potential, Protecting the Value [Introduction]
- 2017
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In: IEEE technology & society magazine. - 0278-0097. ; 36, s. 46-47
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Journal article (peer-reviewed)abstract
- The next generation of socio-technical system can be seen as a kind of “focal point” for the convergence of a number of current trends in computing, information systems, and information technology. These trends include the technology-driven instrumentation of infrastructure by ubiquitous computing and/or “intelligent” devices, with the prefix “smart” now taking precedence over the prefix “e-,” i.e., Smart Grids, Smart Cities, Smart Motorways, etc., rather than the e-commerce, e-health, e-learning initiatives commonplace at the turn of millennium.
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| 4. |
- Weyns, Danny, et al.
(author)
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Towards a Research Agenda for Understanding and Managing Uncertainty in Self-Adaptive Systems
- 2023
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In: Software Engineering Notes. - : ACM Publications. - 0163-5948 .- 1943-5843. ; 48:4, s. 20-36
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Journal article (peer-reviewed)abstract
- Despite considerable research efforts on handling uncertainty in self-adaptive systems, a comprehensive understanding of the precise nature of uncertainty is still lacking. This paper summarises the findings of the 2023 Bertinoro Seminar on Uncertainty in Self- Adaptive Systems, which aimed at thoroughly investigating the notion of uncertainty, and outlining open challenges associated with its handling in self-adaptive systems. The seminar discussions were centered around five core topics: (1) agile end-toend handling of uncertainties in goal-oriented self-adaptive systems, (2) managing uncertainty risks for self-adaptive systems, (3) uncertainty propagation and interaction, (4) uncertainty in self-adaptive machine learning systems, and (5) human empowerment under uncertainty. Building on the insights from these discussions, we propose a research agenda listing key open challenges, and a possible way forward for addressing them in the coming years.
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