Representation and decision making in the immune system
نویسنده
چکیده
The immune system has long been attributed cognitive capacities such as recognition of pathogenic agents; memory of previous infections; regulation of a cavalry of detector and effector cells; and adaptation to a changing environment and evolving threats. Ostensibly, in preventing disease the immune system must be capable of discriminating states of pathology in the organism; identifying causal agents or “pathogens”; and correctly deploying lethal effector mechanisms. What is more, these behaviours must be learnt insomuch as the paternal genes cannot encode the pathogenic environment of the child. Insights into the mechanisms underlying these phenomena are of interest, not only to immunologists, but to computer scientists pushing the envelope of machine autonomy. This thesis approaches these phenomena from the perspective that immunological processes are inherently inferential processes. By considering the immune system as a statistical decision maker, we attempt to build a bridge between the traditionally distinct fields of biological modelling and statistical modelling. Through a mixture of novel theoretical and empirical analysis we assert the efficacy of competitive exclusion as a general principle that benefits both. For the immunologist, the statistical modelling perspective allows us to better determine that which is phenomenologically sufficient from the mass of observational data, providing quantitative insight that may offer relief from existing dichotomies. For the computer scientist, the biological modelling perspective results in a theoretically transparent and empirically effective numerical method that is able to finesse the trade-off between myopic greediness and intractability in domains such as sparse approximation, continuous learning and boosting weak heuristics. Together, we offer this as a modern reformulation of the interface between computer science and immunology, established in the seminal work of Perelson and collaborators, over 20 years ago.
منابع مشابه
Horizontal representation of a hesitant fuzzy set and its application to multiple attribute decision making
The main aim of this paper is to present a novel method for ranking hesitant fuzzy sets (HFSs) based on transforming HFSs into fuzzy sets (FSs). The idea behind the method is an interesting HFS decomposition which is referred here to as the horizontal representation in the current study. To show the validity of the proposed ranking method, we apply it to solve a multi-attribute decision-making ...
متن کاملInvestigating the Relationship between Managers' Quantum Skills and Improving the Decision Making System by Emphasizing the Mediating Role of Policy Making
The purpose of this study is to investigate the relationship between managers' quantum skills and to improve the decision-making system with an emphasis on the mediating role of policy-making. The research method was descriptive-correlational in terms of practical purpose and in terms of data collection. The statistical population included all members of the faculty of Mazandaran Azad Un...
متن کاملA hybrid decision making system using DEA and fuzzy models for supplier selection in the presence of multiple decision makers
متن کامل
Investigating the Relationship between Managers' Quantum Skills and Improving the Decision Making System by Emphasizing the Mediating Role of Policy Making
The purpose of this study is to investigate the relationship between managers' quantum skills and to improve the decision-making system with an emphasis on the mediating role of policy-making. The research method was descriptive-correlational in terms of practical purpose and in terms of data collection. The statistical population included all members of the faculty of Mazandaran Azad Un...
متن کاملProduct Development Decision Support System Customer-Based
Quality Function Deployment (QFD) has been traditionally used as a planning tool primarily for product development and quality improvement. In this context, many people have used QFD for making decisions on how to prioritize critical product areas from a customer perspective. However, it is the position of the author that the QFD process can be viewed as a decision support system that would enc...
متن کاملMaking Decision Support System for Utilization of Biogas in Iran
The use of renewable energy sources is often suggested to be a good solution for climate change and the dependency to fossil fuel. Biogas utilization is a one of these promising options that can mitigate these problems since biogas is produced by the fermentation of waste, so is rich in methane and has the same characteristics as natural gas. Biogas has increasingly been noticed in different co...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010