Robust artificial life via artificial programmed death

Olsen, Megan; Siegelmann‐Danieli, Nava; Siegelmann, Hava T.

doi:10.1016/j.artint.2007.10.015

Cited by 17 publications

(12 citation statements)

References 15 publications

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“…While illustrated here for equation-based models, it should also be applicable to computational frameworks based upon non equation-based models. For example, it could be readily applicable to self-regenerating multi-agent systems whose agents act with respect to local rules to maintain self-health [8].…”

Section: Discussionmentioning

confidence: 99%

Identification and control of intrinsic bias in a multiscale computational model of drug addiction

Levy

Meyer

et al. 2010

Proceedings of the 2010 ACM Symposium on Applied Computing

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Personalized medicine is rapidly evolving with the objective of providing a patient with medications based on the "use of genetic susceptibility or pharmacogenetic testing to tailor an individual's preventive care or drug therapy" [1]. It is reasonable to foresee that this domain will incorporate sources of biological knowledge other than genetics including computational modeling of diseases. For this purpose, a critical issue is how to identify and control systematic biases that may arise. In this paper, a multiscale computational model of drug addiction is presented and the interpretations of the simulated behavioral profiles of a virtual subject are discussed. These outcomes are analyzed using mathematical analytical techniques with particular attention directed to minimization of systematic biases. The simulations exemplify how a structural analysis of the model, prior to the actual simulations, may benefit the overall framework in terms of accuracy. While this paper focuses on an equation-based model for drug addiction, a similar methodology could be applied to other types of computational models for other diseases.

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Section: Discussionmentioning

confidence: 99%

Identification and control of intrinsic bias in a multiscale computational model of drug addiction

Levy

Meyer

et al. 2010

Proceedings of the 2010 ACM Symposium on Applied Computing

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“…However, in the last two years, this is starting to change. In 2007, the HADES system was built by [18], where one of the methodologies used in the system was the programmed death concept. In this system, agents were primarily used for the communication and repair following worm infection, regeneration, movement and death (programmed death).…”

Section: Previous Workmentioning

confidence: 99%

STAKCERT Framework in Eradicating Worms Attack

Saudi

Cullen

Woodward

2009

2009 International Conference on CyberWorlds

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A worm attack is one of the most eye-catching and challenging issues in the cyber world. New and different types of worm attacks are being introduced day by day. Different names have been given to these worms as they evolve such as the 'superworm' and researchers all over the world are trying to find the best remedy to counter such attacks. Loss of money, productivity and reputation are amongst some of the well know implication from these types of attacks. Motivated by the consequences caused by the worm attacks, a new framework called STAKCERT is being proposed. STAKCERT stands for Starter Kit Computer Emergency Response Team. This framework is a novel framework for effective detection, analysis and worm isolation inspired by apoptosis. Apoptosis is also known as cell programmed death; borrowed from the biology term. The STAKCERT framework consists of two stages. The first stage involves the detection and analysis of the worm attack, followed by isolation as the second stage. The uniqueness of this framework is based on the integration of worm, incident response and apoptosis.

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“…Olsen et al have developed a multiagent system (named HADES) that is capable to control and protect itself via life protocols and a rescue protocol. Its life protocols control the replication, repair, movement, and self-induced death that govern each agent in the system [20]. Saudi et al [21] essentially discuss Apoptosis for security systems, specifically focusing on network problems, recovering ground highlighted in Burbeck [19] and go on to apply that to addressing worms [22].…”

Section: Related Workmentioning

confidence: 99%

Apoptotic Robotics: Programmed Death by Default

Sterritt

2011

2011 Eighth IEEE International Conference and Workshops on Engineering of Autonomic and Autonomous Systems

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Apoptotic Computing and Apoptotic Communications are inspired by the apoptosis mechanism in biological systems. This mechanism provides security for the overall system by having a preprogrammed death and indeed a death by default at, for instance, the cellular level. It has been argued that this approach should be included in our modern ubiquitous/pervasive computerbased systems. This paper specifically makes that case for Robotic systems.

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Robust artificial life via artificial programmed death

Cited by 17 publications

References 15 publications

Identification and control of intrinsic bias in a multiscale computational model of drug addiction

Identification and control of intrinsic bias in a multiscale computational model of drug addiction

STAKCERT Framework in Eradicating Worms Attack

Apoptotic Robotics: Programmed Death by Default

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