NDLI: Topology driven modeling: the IS metaphor

Content Provider	Springer Nature Link
Author	Merelli, Emanuela Pettini, Marco Rasetti, Mario
Copyright Year	2014
Abstract	In order to define a new method for analyzing the immune system within the realm of Big Data, we bear on the metaphor provided by an extension of Parisi’s model, based on a mean field approach. The novelty is the multilinearity of the couplings in the configurational variables. This peculiarity allows us to compare the partition function $$Z$$ with a particular functor of topological field theory—the generating function of the Betti numbers of the state manifold of the system—which contains the same global information of the system configurations and of the data set representing them. The comparison between the Betti numbers of the model and the real Betti numbers obtained from the topological analysis of phenomenological data, is expected to discover hidden n-ary relations among idiotypes and anti-idiotypes. The data topological analysis will select global features, reducible neither to a mere subgraph nor to a metric or vector space. How the immune system reacts, how it evolves, how it responds to stimuli is the result of an interaction that took place among many entities constrained in specific configurations which are relational. Within this metaphor, the proposed method turns out to be a global topological application of the S[B] paradigm for modeling complex systems.
Starting Page	421
Ending Page	430
Page Count	10
File Format	PDF
ISSN	15677818
Journal	Natural Computing
Volume Number	14
Issue Number	3
e-ISSN	15729796
Language	English
Publisher	Springer Netherlands
Publisher Date	2014-06-24
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Immune system Multilinear mean field Pattern discovery Complex systems Adaptive models S[B] paradigm Topology of data Betti numbers Big Data Theory of Computation Evolutionary Biology Processor Architectures Artificial Intelligence (incl. Robotics) Statistical Physics, Dynamical Systems and Complexity
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Topology driven modeling: the IS metaphor

Adaptive niche quantum-inspired immune clonal algorithm

Structure versus function: a topological perspective on immune networks

Computation in Sofic Quantum Dynamical Systems

Autopoiesis, the immune system, and adaptive information filtering

A review of evolutionary and immune-inspired information filtering

Nature-inspired learning and adaptive systems

Evolutionary computation approaches to the Curriculum Sequencing problem

Grammar-based immune programming

Topology driven modeling: the IS metaphor

Similar Documents

Topology driven modeling: the IS metaphor

Adaptive niche quantum-inspired immune clonal algorithm

Structure versus function: a topological perspective on immune networks

Computation in Sofic Quantum Dynamical Systems

Autopoiesis, the immune system, and adaptive information filtering

A review of evolutionary and immune-inspired information filtering

Nature-inspired learning and adaptive systems

Evolutionary computation approaches to the Curriculum Sequencing problem

Grammar-based immune programming

Topology driven modeling: the IS metaphor