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    Model checking combined trust and commitments in Multi-Agent Systems
    (Pergamon-Elsevier Science Ltd, 2024) Baharloo, Narges; Bentahar, Jamal; Drawel, Nagat; Pedrycz, Witold
    Trust and social commitments have been studied with different objectives for communication in Multi-Agent Systems (MASs) separately. The purpose of this paper is to present the first logical framework to explore the relationship between two key concepts in autonomous MASs, namely trust and commitments among agents, along with its model checking algorithms. An analysis is performed on this relationship, with a specific emphasis on the perspectives of semantics and model checking. The analysis is carried out within the framework of Trust Computation Tree Logic with Commitments (CTLC) logic, an extended logic built on top of the standard branching temporal Computation Tree Logic (CTL) by including modalities for reasoning about commitments and their fulfillment. Moreover, the study employs a trust operator to facilitate trust reasoning. We propose thus Trust Computation Tree Logic with Commitments (TCTLC), a new logic able to express properties about trust and commitments simultaneously. Such rich properties cannot be expressed in other languages. We introduce the semantics using the extended formalism of interpreted systems. We propose some postulates and proofs that show how we can reason about combined trust and commitments in the logic proposed. New Binary Decision Diagram (BDD)-based algorithms for our logic are presented and implemented as additional libraries of the Model Checker for Multi-Agent Systems (MCMAS), the default model checker of MASs. Furthermore, we prove that although TCTLC extends CTL, its model checking algorithm remains polynomial (P-complete) with respect to the size of the model and the length of the formula. Similarly, the space complexity for concurrent programs also remains unchanged, which is polynomial (PSPACE-complete) with respect to the size of the components within these programs. Finally, to evaluate the proposed technique, we report the experimental results using an industrial case study and compare the results with those obtained on relevant benchmarks.
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    Verifying trust over IoT-ad hoc network-based applications under uncertainty
    (Elsevier, 2024) Baharloo, Narges; Bentahar, Jamal; Alwhishi, Ghalya; Drawel, Nagat; Pedrycz, Witold
    The rapid integration of the Internet of Things (IoT) with ad hoc networks offers significant advantages for revolutionizing smart environments. However, ensuring trust and reliability within these interconnected systems remains a significant challenge. To address this challenge, this paper introduces an innovative three valued (3v) trust model customized specifically for IoT-ad hoc systems. The model employs three-valued logic to evaluate trust in social commitments within ambiguous scenarios, where commitments serve as the foundation of the business logic. Our aim is to enhance the effectiveness and economic feasibility of IoT in smart environments. To advance this initiative, we introduce the 3v-TCTLC, a distinctive modeling language that extends the conventional two-valued logic by introducing a third value to accommodate uncertainty. This novel approach facilitates the assessment of trust in commitments within uncertain IoT-ad hoc environments. Additionally, we improve the functionality of the MACMAS-interactor tool, incorporating new features to support our 3v-TCTLC logic. Through two case studies in the domains of smart health monitoring and smart home systems, we validate our model against specific requirements in uncertain contexts. These case studies highlight the robustness and practicality of our proposed tools and methodologies. Compared to prevalent trust management strategies employed in IoT and ad-hoc networks, our methodology stands out distinctly. While many current solutions propose trust-centered protocols, with some even harnessing advanced technologies, they frequently overlook the crucial element of model checking. Our approach not only incorporates this critical component but also ensures the integrity of the system. Furthermore, even though the field of multi-valued model checking has seen advancements like chi CTL, our research contributes significantly by integrating trust and commitment verification specifically designed for IoT-ad hoc environments. Our empirical assessments in the domains of smart health and home systems confirm that our tool and strategies demonstrate superior performance in terms of time and space usage and better adaptability and scalability in uncertain scenarios, representing a noteworthy advancement over existing techniques and tools.