Review of Trust and Machine Ethics Research: Towards A Bio-Inspired Computational Model of Ethical Trust (CMET)

Lim, Hock Chuan; Stocker, Rob; Larkin, Henry

doi:10.4108/icst.bionetics2008.4728

Cited by 4 publications

(3 citation statements)

References 85 publications

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“…In wireless sensor networks (WSNs), different trust establishment (TE) methods, technologies and mechanisms, such as fuzzy logic [1,2], bio-inspired [3,4,5], and deterministic- and probabilistic-based approaches [6,7,8,9,10,11,12,13], have recently been proposed. In general, TE can be used in WSNs for two purposes: cooperation improvement and security enhancement [7,10,11,12].…”

Section: Introductionmentioning

confidence: 99%

A Robust Trust Establishment Scheme for Wireless Sensor Networks

Ishmanov

Kim

Nam

2015

Sensors

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Security techniques like cryptography and authentication can fail to protect a network once a node is compromised. Hence, trust establishment continuously monitors and evaluates node behavior to detect malicious and compromised nodes. However, just like other security schemes, trust establishment is also vulnerable to attack. Moreover, malicious nodes might misbehave intelligently to trick trust establishment schemes. Unfortunately, attack-resistance and robustness issues with trust establishment schemes have not received much attention from the research community. Considering the vulnerability of trust establishment to different attacks and the unique features of sensor nodes in wireless sensor networks, we propose a lightweight and robust trust establishment scheme. The proposed trust scheme is lightweight thanks to a simple trust estimation method. The comprehensiveness and flexibility of the proposed trust estimation scheme make it robust against different types of attack and misbehavior. Performance evaluation under different types of misbehavior and on-off attacks shows that the detection rate of the proposed trust mechanism is higher and more stable compared to other trust mechanisms.

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Section: Introductionmentioning

confidence: 99%

A Robust Trust Establishment Scheme for Wireless Sensor Networks

Ishmanov

Kim

Nam

2015

Sensors

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“…However, 1 See, for example, Taddeo (2008); Lim et al (2008) and Grodzinsky et al (2009). 2 In a provocative (and now, arguably, classic) paper, Floridi and Sanders (2004) suggest that AAs can be fully rational, autonomous, and moral agents (in addition to being ''moral patients'').…”

Section: Part I: Trust and Artificial Agentsmentioning

confidence: 97%

Trust and multi-agent systems: applying the “diffuse, default model” of trust to experiments involving artificial agents

Buechner

Tavani

2010

Ethics Inf Technol

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We argue that the notion of trust, as it figures in an ethical context, can be illuminated by examining research in artificial intelligence on multi-agent systems in which commitment and trust are modeled. We begin with an analysis of a philosophical model of trust based on Richard Holton's interpretation of P. F. Strawson's writings on freedom and resentment, and we show why this account of trust is difficult to extend to artificial agents (AAs) as well as to other non-human entities. We then examine Margaret Urban Walker's notions of ''default trust'' and ''default, diffuse trust'' to see how these concepts can inform our analysis of trust in the context of AAs. In the final section, we show how ethicists can improve their understanding of important features in the trust relationship by examining data resulting from a classic experiment involving AAs.

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“…Tier-1 in CMET models the ethical trust reasoning and tier-2 addresses the collective social moral norms. (For a more detailed discussion on CMET and its components see [28])…”

Section: Bio-inspired Cmet Architecturementioning

confidence: 99%

Ethical Trust and Social Moral Norms Simulation: A Bio-inspired Agent-Based Modelling Approach

Lim

Stocker

Larkin

2008

2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology

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The understanding of the micro-macro link is an urgent need in the study of social systems. The complex adaptive nature of social systems adds to the challenges of understanding social interactions and system feedback and presents substantial scope and potential for extending the frontiers of computer-based research tools such as simulations and agent-based technologies. In this project, we seek to understand key research questions concerning the interplay of ethical trust at the individual level and the development of collective social moral norms as representative sample of the bigger micro-macro link of social systems. We outline our Computational Model of Ethical Trust (CMET) informed by research findings from trust, machine ethics and neural science. Guided by the CMET architecture, we discuss key implementation ideas for the simulations of ethical trust and social moral norms.

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Review of Trust and Machine Ethics Research: Towards A Bio-Inspired Computational Model of Ethical Trust (CMET)

Cited by 4 publications

References 85 publications

A Robust Trust Establishment Scheme for Wireless Sensor Networks

A Robust Trust Establishment Scheme for Wireless Sensor Networks

Trust and multi-agent systems: applying the “diffuse, default model” of trust to experiments involving artificial agents

Ethical Trust and Social Moral Norms Simulation: A Bio-inspired Agent-Based Modelling Approach

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