Bottom-Up Norm Adjustment in Open, Heterogeneous Agent Societies

Edenhofer, Sarah; Stifter, Christopher; Madkour, Youssef; Tomforde, Sven; Kantert, Jan; Müller-Schloer, Christian; Hähner, Jörg

doi:10.1109/fas-w.2016.21

Cited by 5 publications

(1 citation statement)

References 18 publications

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“…Accordingly, the dynamism is in altering the chosen norms set depending on an optimisation mechanism for the system objectives and does not handle the norms changes and evolution. In [5], Edenhofer et al. present a mechanism for dynamic online norm adaption in a heterogeneous distributed multi-agent system for handling colluding attacks from agents with bad behaviour.…”

Section: Related Workmentioning

confidence: 99%

Run-time Norms Synthesis in Multi-Objective Multi-Agent Systems

Riad¹,

Golpayegani²

2021

Preprint

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Norms represent behavioural aspects that are encouraged by a social group of agents or the majority of agents in a system. Normative systems enable coordinating synthesised norms of heterogeneous agents in complex multi-agent systems autonomously. In real applications, agents have multiple objectives that may contradict each other or contradict the synthesised norms. Therefore, agents need a mechanism to understand the impact of a suggested norm on their objectives and decide whether or not to adopt it. To address these challenges, a utilitybased norm synthesis (UNS) model is proposed which allows the agents to coordinate their behaviour while achieving their conflicting objectives. UNS proposes a utility-based case-based reasoning technique, using casebased reasoning for run-time norm synthesising in a centralised approach, and a utility function derived from the objectives of the system and its operating agents to decide whether or not to adopt a norm. The model is evaluated using a two intersecting roads scenario and the results show its efficacy to optimise multiple objectives while adopting synthesised norms.

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Section: Related Workmentioning

confidence: 99%

Run-time Norms Synthesis in Multi-Objective Multi-Agent Systems

Riad¹,

Golpayegani²

2021

Preprint

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Run-Time Norms Synthesis in Multi-objective Multi-agent Systems

Riad¹,

Golpayegani

2022

Lecture Notes in Computer Science

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Run-Time Norms Synthesis in Dynamic Environments with Changing Objectives

Riad

Ghanadbashi

Golpayegani

2023

Communications in Computer and Information Science

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Normative Multi-Agent Systems (NorMAS) can model real-world applications as multi-agent systems and facilitate the coordination of the social behaviour of various entities (agents) interacting in an environment using norms. Aligning such norms with the objectives of the agents is crucially important to ensure that applying the norms would not affect the achievement of their objectives. However, when the environment is dynamic, agents can face unseen situations and might need to change their objectives accordingly. Therefore, it becomes more challenging to understand the change, synthesise norms, and align them with such dynamic objectives. This paper introduces a Dynamic Objectives and Norms Synthesizer and Reasoner (DONSR) model to align objectives and norms using a utility-based approach. An ontology-based schema, forward reasoning, and backward reasoning are used to identify the change in the environment and synthesise new objectives. Case-based reasoning enables the dynamic changing and reasoning of previously created objectives and synthesising norms. DONSR is evaluated using multiple simulated traffic scenarios, including different unseen situations (emergency events).Results show that norms can be synthesised and maintained efficiently while the objectives are being created and changed. Further, DONSR showed its efficacy in handling unseen situations, creating new objectives, and aligning them with the created norms.

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Bottom-Up Norm Adjustment in Open, Heterogeneous Agent Societies

Cited by 5 publications

References 18 publications

Run-time Norms Synthesis in Multi-Objective Multi-Agent Systems

Run-time Norms Synthesis in Multi-Objective Multi-Agent Systems

Run-Time Norms Synthesis in Multi-objective Multi-agent Systems

Run-Time Norms Synthesis in Dynamic Environments with Changing Objectives

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