Information Systems and the Theory of Categories: Is Every Model an Anticipatory System?

Slides:



Advertisements
Similar presentations
Decision Support & Executive Information Systems: - The Strategic Choice Approach An Example of Soft Operational Research Amare Michael Desta.
Advertisements

I-ESA'08 Berlin1 Logical Foundations for the Infrastructure of the Information Market Heather, Michael, Livingstone, David, & Rossiter, Nick, CEIS, Northumbria.
Four-level Architecture for Closure in Interoperability EFIS, 17th-18th July 2003 Nick Rossiter & Michael Heather Informatics, Northumbria University
Adjoint Typing: Is it Whitehead’s Category of the Ultimate?
PROBABILITY. Uncertainty  Let action A t = leave for airport t minutes before flight from Logan Airport  Will A t get me there on time ? Problems :
Readings Seminar September 21, Sutton, R. I. & Staw, B. M. (1995).What theory is not. Administrative Science Quarterly, 40, strong versus.
Impact and outcome evaluation involve measuring the effects of an intervention, investigating the direction and degree of change Impact evaluation assesses.
1 On The Learning Power of Evolution Vitaly Feldman.
Schemas as Toposes Steven Vickers Department of Pure Mathematics Open University Z schemas – specification1st order theories – logic geometric theories.
The Practice of Social Research 10/e
LOGIC AND CRITICAL THINKING Jonathan Dolhenty, Ph.D. Logic and Critical Thinking. Available at
From Classical to Quantum Databases with Applied Pullbacks Nick Rossiter Seminar – PSSL, 15th February 2003
Definitions of Reality (ref . Wiki Discussions)
CSC271 Database Systems Lecture # 6. Summary: Previous Lecture  Relational model terminology  Mathematical relations  Database relations  Properties.
Lecture 2 The Relational Model. Objectives Terminology of relational model. How tables are used to represent data. Connection between mathematical relations.
The Role of Artificial Life, Cellular Automata and Emergence in the study of Artificial Intelligence Ognen Spiroski CITY Liberal Studies 2005.
Anticipation in constructing and interrogating Natural Information Systems: From Classical through Nano to Quantum Computing.
Linear System Theory Instructor: Zhenhua Li Associate Professor Mobile : School of Control Science and Engineering, Shandong.
The Semantics of Jitter in Anticipating Time Itself within Nano-Databases Michael Heather and Nick Rossiter CEIS, Northumbria University, Newcastle NE1.
Science is a process Scientific inquiry is a search for information and explanation.
T 7.0 Chapter 7: Questioning for Inquiry Chapter 7: Questioning for Inquiry Central concepts:  Questioning stimulates and guides inquiry  Teachers use.
Prediction in Human Presented by: Rezvan Kianifar January 2009.
COMM THEORY: On Its Scientific Nature John A. Cagle, Ph.D. Communication California State University, Fresno.
Fuzzy Cognitive Maps Y. İlker TOPCU, Ph.D twitter.com/yitopcu.
Symposium 2: Applied Mathematics, Dynamical Systems, Logics and Category Theory CASYS’11 - International Conference on COMPUTING ANTICIPATORY SYSTEMS HEC.
Decision making, FUIEMS, 29 December, Decision-Making Process Engineering Economics Lecture # 15.
A Formal Security Model for Collaboration in Multi-agency Networks Salem Aljareh Newcastle University, UK Nick Rossiter & Michael Heather Northumbria University,
Anticipation as Prediction in the Predication of Data Types Michael Heather and Nick Rossiter CEIS, Northumbria University, Newcastle NE1 8ST
CHAPTER 1 HUMAN INQUIRY AND SCIENCE. Chapter Outline  Looking for Reality  The Foundation of Social Science  Some Dialectics of Social Research  Quick.
How We Know What We Know Direct Experience and Observation What happens when it is challenged? How do we observe?
1 Database Searching in Quantum and Natural Computing Michael Heather & Nick Rossiter, Northumbria University, England
1 The Contravariancy of Anticipatory Systems Dimitrios Sisiaridis, Michael Heather & Nick Rossiter Northumbria University, Newcastle NE2 1XE, UK Symposium.
On the reflection and the coreflection of categories over a base in discrete fibrations Various aspects of two “dual” formulas Claudio Pisani.
Qualitative Research January 19, Selecting A Topic Trying to be original while balancing need to be realistic—so you can master a reasonable amount.
21st May 2004Informatics Research Conference, Northumbria University 1 Some Fundamental Questions in Databases Nick Rossiter (with Michael Heather)
The Representation of Reality in Computational Form Nick Rossiter Visiting Fellow with Michael Heather and Dimitrios Sisiaridis Computing, Engineering.
Introduction EDU 660 Methods of Educational Research.
The Practice of Social Research Earl Babbie Chapman University.
11/26/2015 Modern Philosophy PHIL320 1 Kant III Charles Manekin.
Complex Systems Concepts
1 Generic Image Structures in Integrated Media Nick Rossiter & Michael Heather, University of Northumbria at Newcastle
SCIENTIFIC THINKING Presented by: Dr. Salem M. Al-Ghamdi Associate Professor of Management King Fahd University of Petroleum and Minerals.
Greek Classical Philosophy “Western philosophy is just a series of footnotes to Plato.”
A new physicalism that can accommodate experience Anand Rangarajan University of Florida.
Part II: Measuring Psychological Variables In the last section, we discussed reasons why scientific approaches to understanding psychology may be useful.
SIMULATIONS, REALIZATIONS, AND THEORIES OF LIFE H. H. PATTEE (1989) By Hyojung Seo Dept. of Psychology.
1 Typing in Information Systems Nick Rossiter, Michael Heather Computer Science and Digital Technologies Northumbria University, Newcastle NE1 8ST, UK.
AREIN, I-ESA March Higher Order Logic and Interoperability in Global Enterprise Heather, Michael, Livingstone, David, & Rossiter, Nick, CEIS, Northumbria.
Free and Open Systems Theory Nick Rossiter Michael Heather University of Northumbria
Overview of “Knowing” Rabbit Stew Definitions/Terminology.
A Brief History of AI Fall 2013 COMP3710 Artificial Intelligence Computing Science Thompson Rivers University.
The Natural Metaphysics of Computing Anticipatory Systems Michael Heather Nick Rossiter University of Northumbria
Quantum Computation Stephen Jordan. Church-Turing Thesis ● Weak Form: Anything we would regard as “computable” can be computed by a Turing machine. ●
Introduction to ScienceSection 1 SCSh8 Students will understand important features of the process of scientific inquiry.
Spring ÇGIE lecture 41 lecture 4: complexity simple systems, complex systems –parallel developments that are joining together: systems literature.
Science & Technology Centers Program National Science Foundation Science & Technology Centers Program Bryn Mawr Howard MIT Princeton Purdue Stanford UC.
WOSC 2008 Wroclaw1 Problems of Interoperability in Information Systems Nick Rossiter and Michael Heather CEIS, Northumbria University, UK
Knowledge Representation Part I Ontology Jan Pettersen Nytun Knowledge Representation Part I, JPN, UiA1.
RESEARCH METHODOLOGY Research and Development Research Approach Research Methodology Research Objectives Engr. Hassan Mehmood Khan.
Sub-fields of computer science. Sub-fields of computer science.
What is Mathematics? The science (or art?) that deals with numbers, quantities, shapes, patterns and measurement An abstract symbolic communication system.
Prolegomena: What Speaks in Favor of an Inquiry into Anticipatory Processes? Mihai Nadin September Ceyda Cinarel Biointelligence Laboratory School.
Glossary of Terms Used in Science Papers AS
Il-Kyoung Kwon1, Sang-Yong Lee2
The Basics of Social Research 2/e
GRASP - Graduate Research Advanced Skills Program
Conditions for Interoperability
COMP3710 Artificial Intelligence Thompson Rivers University
The Process Semantics of Time and Space as Anticipation
Process in the World as a Transaction
Presentation transcript:

Information Systems and the Theory of Categories: Is Every Model an Anticipatory System?

Authors M. A. Heather, Sutherland Building, Northumbria University, NE1 8ST, B. Nick Rossiter, Informatics, Northumbria University, Newcastle upon Tyne, UK, NE1 8ST,

Exploring the Unknown Knowledge advances: – by using the known to understand the unknown. Information systems are sources of the known – but also contain the unknown by reason of yet unrealised connections between what is known Practical applications in Data Mining –looking for new rules not explicit in data schema

Advance of Categories The philosophy of idealism and categories, the limits and colimits of knowledge, have developed from: –classical Platonic idealism –Aristotolean categories – through modern Kantian judgments –categories of pure and applied reasoning (analytic and synthetic) – on to a postmodern formalism of topos theory

Requirements To deal with organisms as complex, not just simple mechanisms: –modern information systems have to cope with: dynamic, open and non-local nature of knowledge beyond set theory. Current interest with sketches.

Behaviour of Reactive System Reactive System Information System Slice Retract Subcategory

Behavioural Aspects The figure represents the possible unknown behaviour of a reactive system whether physical, biological or social. The change may not be fully understood but may be modelled in an information system by a corresponding behavioural change

Strength of Anticipation In the upper limiting case: –the universe is a reactive system –the information system belongs to it as a subcategory. Any other existing reactive system is a subcategory of the universe as a topos. If the information system is predictive: –termed anticipatory. Where the anticipatory is a subcategory of the reactive system it is often referred to as strong anticipation. Otherwise it is weak. However the strength of an anticipatory system is not just Boolean because the internal topos logic is Heyting. There are quantitative (  ) and qualitative (  ) degrees of sameness

Slice The monad gives: –idempotent isomorphism The split epimorphism provides: –extensional equivalence A freely constructed slice provides: –information through a right adjoint retract to the extent of the equivalence of the slice category, –that is any model including the predictive anticipatory system.

Formalisation of Anticipatory System -- Adjointness 

Formalisation of Anticipatory System -- Adjointness 

Formalisation as 2-cell -- Upper Limit 

Formalisation as 2-cell -- Lower Limit 

The question To model is to interrogate an information system. Prediction is relative to the observer and consequent to use and the type of query. Whether every model is an anticipatory system is a relativistic question of subjective locality in time and space.

References [1] Heather, M A, & Rossiter, B N, Locality, Weak or Strong Anticipation and Quantum Computing I. Non-locality in Quantum Theory, International Journal Computing Anticipatory Systems (2002). [2] Heather, M A, & Rossiter, B N, Locality, Weak or Strong Anticipation and Quantum Computing. II. Constructivism with Category Theory, International Journal Computing Anticipatory Systems (2002). [3] Johnstone, P T, Sketches of an Elephant, A Topos Theory Compendium, Oxford Logic Guides 43, Clarendon (2002). [4] Rosen, R, Life Itself, A Comprehensive Inquiry into the Nature, Origin, and Fabrication of Life, Columbia University Press, New York (1991).