AXIOM 1 Foundational Axiom of Variety and Control

In complex systems involving multiple constituencies where variety generation and control distribution is uneven, the differing distributions and dynamics of generated and controlling variety create a structural basis for power asymmetries and differential control over the system's structure, evolution, and distribution of benefits and costs.

Explanation:

Power in complex systems emerges from the topology of variety generation and control distribution across constituencies. Power differences follow from who controls which varieties, who can generate new varieties, and where variety-processing relationships are positioned within system hierarchies.

Key structural relationships:

  • Power follows variety topology: Constituencies controlling critical varieties or occupying strategic positions in variety-generation networks accumulate power
  • Control capacity determines influence: Those who can process more variety types have greater influence over system outcomes
  • Benefits flow with control: Resource distribution follows variety control patterns rather than formal authority alone
  • Structural change requires variety redistribution: Transforming power relationships requires changing who controls which varieties

Examples across domains:

Colonial systems (Iraq 1920s): British controlled military and administrative varieties but lacked religious and cultural varieties. Shia mujtahids controlled religious variety. Power distributed according to variety topology: British dominated where they had variety superiority, religious authorities dominated where they controlled variety, leading to unstable power-sharing requiring constant negotiation.

Technology platforms: Platform companies (Google, Amazon, Meta) control infrastructure varieties (servers, APIs, data processing) that other businesses depend on. This variety control translates to power over pricing, features, and market access regardless of user numbers or revenue. Power emerges from variety control position, not market share alone.

Healthcare systems: Specialists control diagnostic and treatment varieties in specific domains. Primary care physicians, despite seeing more patients, have less power because they lack specialist variety. Power accumulates with variety control (specialist knowledge) rather than transaction volume.

Labor relations: Management traditionally controlled hiring, firing, work assignment varieties. Union formation aggregates worker varieties (skills, numbers, coordination) creating countervailing power. Power balance shifts based on which side controls more relevant varieties, explaining why unions succeed in some industries (high worker variety aggregation) and fail in others (workers easily replaced, low variety).

Academic systems: Researchers controlling methodology varieties (novel techniques, unique datasets, theoretical frameworks) gain influence over their fields. Power accrues to variety controllers regardless of institutional rank - a postdoc with unique methodological variety can influence field direction more than senior professors using standard approaches.

Implications:

This framework provides:

  • Analytical tool: Map power structures by identifying who controls which varieties
  • Explanatory power: Understand why formal authority and actual influence often diverge
  • Strategic insight: Identify leverage points where variety redistribution could shift power
  • Design guidance: Structure systems with awareness of how variety distribution shapes power outcomes

The framework explains patterns such as:

  • Why reforms often fail to shift power (variety topology unchanged despite policy changes)
  • Why some technological changes redistribute power dramatically (they create or eliminate variety control positions)
  • Why collective action can challenge concentrated power (aggregates distributed varieties into coordinated control).

AXIOM 2 Variety Generation as Power Transfer Mechanism

In complex systems with uneven power distribution, when less powerful constituencies increase the variety that more powerful constituencies must manage, relative power shifts toward the less powerful. This occurs because addressing additional variety consumes the powerful's resources and attention, reducing power available for other purposes.

Explanation:

Power relationships are dynamic. At any stage, less powerful constituencies can shift relative power by strategically generating varieties that powerful constituencies must address. This need not overwhelm the powerful's control capacity - simply requiring them to manage additional variety:

  • Consumes resources (money, personnel, time, attention)
  • Diverts capacity from other priorities
  • Increases transaction costs of maintaining control
  • Creates opportunities for the less powerful while powerful are occupied

Examples:

Asymmetric conflict: 9/11 attacks generated security variety (airport screening, freight inspection, intelligence coordination) that consumed massive US resources without overwhelming capacity, reducing American power available for other strategic purposes.

Labor organizing: Strike threats generate management variety (contingency planning, negotiations, public relations) consuming executive attention even when strikes don't occur, shifting relative power to workers.

Regulatory resistance: Industries generating compliance variety (lobbying, legal challenges, public campaigns) force regulators to expend resources defending rules, reducing regulatory capacity for new initiatives.

The powerful can respond by using coercion to suppress variety generation or redirecting resources.

This mechanism explains why strategic variety generation serves as an asymmetric power tool: generating variety costs less than addressing it, creating favourable exchange ratio for less powerful constituencies.

AXIOM 16 Variety dynamics and Nyquist number

Stable control of simple systems is defined by the Nyquist number. The Nyquist number indicates whether the relationship between the control system and deviation causing subsystems  or external factors is likely to become stable, oscillatory or trend towards an unstable or even unknown outcome.

In essence, the Nyquist number reflects phase differences between system disturbing activities and the control responses to disturbances, which in turn results in a change to the disturbing activities and further changes in the control responses.

Although the central issue is one of time and lags, by representing the behaviours of disturbance and control in circular form by Fourier transform, the time can be regarded as a difference in phase between a complex Fourier function representing the disturbance and its subsequent modification by the control system and a different complex Fourier function representing the control response.

This axiom focuses on the  stability conditions in variety-processing systems through phase relationships between variety generation (disturbance) and control responses. This is extending classical control theory's Nyquist criterion into the variety dynamics framework, providing criteria for conditions for when variety-control feedback loops produce stability, oscillation, or chaos.

Universal pattern: Across all variety-processing systems - biological, economic, social, technological - stability requires maintaining appropriate phase relationships between variety generation and control response.

The mathematics of feedback control (Nyquist) provides a foundation for understanding stability in variety dynamics.

AXIOM 3 Hierarchical Stable Location of Subsystems

For complex, layered and hierarchical systems that have multiple possible stable structural states, the structural configuration toward which the system evolves depends on the relative locations of subsystems generating variety and the control subsystems able to regulate overall system variety.

Explanation:

Spatial and hierarchical relationships between variety-generating and variety-controlling subsystems determine which stable configuration a system evolves toward. System evolution is governed by variety dynamics topology, not just variety quantities.

Key insights:

  • Structure follows variety topology: System organization emerges from the arrangement of variety-processing relationships
  • Evolution trajectories are constrained: Given variety topology, possible evolution paths can be anticipated
  • Design influences evolution: Strategic positioning of variety generation and control systems shapes evolutionary outcomes
  • Multiple stable states exist: Complex systems can evolve toward different configurations based on topology
  • Topology changes redirect evolution: Repositioning variety processing relationships alters system trajectory

Implications:

Successful system architecture requires variety topology design as much as functional design. Sustainable system evolution depends on achieving appropriate relationships between variety generation and variety control at all hierarchical levels.

Note on biological systems: The principle that relative positioning of variety-generating and variety-controlling mechanisms influences stable structural configurations may extend to biological systems (molecular networks, organisms, ecosystems), though this application requires further development.

AXIOM 17 Variety dynamics and system control

A subsystem disturbance can be regarded as a succession of different states. Variety is the measure of the different states that are possible to that subsystem behaviour. In other words, it is a counterfactual variable. 

Thus, the variety dynamics function describing the behaviour (different states) exists as a meta-function or collection of functions. This is in the same way that the function(s) describing the bounds of a set, or equivalently, the criteria for entities to be a member of that set are meta-functions that describe the characteristics of the entities that are included in that set.

Variety dynamics extends that analysis in a straightforward manner such that the variety dynamics meta-function maps to the relations between the control system varieties, the disturbing system varieties and the varieties of the behaviours resulting from the interaction between the disturbing system and the control system.

Clearly in a system context viewed in terms of the variety dynamics of multiple different characteristics of systems and subsystems, the variety dynamics functions are complex over multiple dimensions (and this is likely to be a large number of dimensions).

For conventional dynamics representation, a 2 or greater dimensional system is represented using partial derivatives. This in turn can be transformed into a complex Fourier representation or complex Taylor expansion. The variety functions equivalent of physical dynamics follow the same.

In physical systems the  Nyquist ‘number’ provides the criteria for stability. For more complex multidimensional control systems, the ‘Nyquist’ stability boundary is a multi-dimensional surface that can be represented by a Nyquist-like complex function.

The ability to map variety dynamic space onto the physical dynamic space means that for an m dimensional variety space mapping a system with interacting control and disturbance sub-systems there exists a Nyquist-like function defining the boundary surface of stability for such a system.

This axiom provides a mathematical foundation for the  variety dynamics field.

It is part of  the formal transformation of  variety dynamics from a qualitative framework to a mathematical theory with:

  • Formal definitions
  • Stability theorems
  • Computational algorithms
  • Predictive capability
  • Design principles

AXIOM 8 Systems Incapable of Variety Generation

A system incapable of generating variety is constrained to a fixed, pre-existing possibility space and cannot exhibit evolutionary change, learning, or adaptive transformation.

Explanation:

Systems divide into those with fixed versus expandable possibility spaces:

  • Generative systems - create new varieties beyond their initial configuration (evolution, learning, innovation)
  • Traversal systems - navigate fixed variety spaces dynamically but cannot expand them (planetary orbits, routine processes, algorithmic computation)
  • Static systems - have fixed variety with no state transitions (catalogues, archives)

While traversal systems appear dynamic, they cannot generate genuinely novel states. Only generative systems can expand their own possibility space.

Implications:

  • Generative systems require variety dynamics analysis for power emergence, organizational change, and adaptive transformation
  • Traversal systems may use simplified variety analysis, but traditional dynamics often more appropriate
  • Static systems fall outside variety dynamics scope

Only systems capable of variety generation exhibit the emergent power dynamics and self-organizing control mechanisms that variety dynamics explains.

Military History Analysis

Variety Dynamics offers a new insight into Military History. It is particularly relevant to New Military History that includes sociological, economic, environmental, historical, technological and cultural factors.

Variety Dynamics offers deep insights about the progression of events in the realms of aggressors and defenders.

In Military terms, Variety Dynamics offers a new overarching analysis of military doctrines, and, in its own right, offers a new military doctrine  and a new basis for understanding  strategy, operations and tactical decision-making.

Advantageously, Variety Dynamics provides a tool to analyse situations that are information-sparse or fully covert. On the larger scale, Variety Dynamics is capable if undertaking analyses and identifying reasons for outcomes without  the same need for comprehensive information required of typical Military History analyses that depend on causal understanding of events

In short,  Variety Dynamics offers:

  • A new from of Military History analysis
  • A new approach that includes addressing covert situations or those with substantially missing information
  • A new overarching approach for comparing and contrasting existing military doctrines and their application and effectiveness
  • A new form of military strategy
  • A new field of Military History

 

AXIOM 9 Variety definition

Variety is the possibility of a variable (which can be a system at any level of recursion) to have different values. Variety is the ability to vary. The amount of variety is the number of different options that are possible.

Explanation:

Variety refers to possibility space rather than actual observed states. A variable with three possible values has variety of three, regardless of which value is currently actualized.

Key characteristics:

  • Possibility not actuality: Varieties exist as potential states whether or not they're currently realized
  • Recursive application: Systems themselves can be variables at any hierarchical level
  • Quantification: Variety measured by counting distinguishable possible states

Clarifications:

  • Discrete variables: Variety equals number of distinct possible values (coin flip = 2 varieties)
  • Continuous variables: Variety determined by distinguishability threshold in analytical context
  • Context dependency: What counts as "possible" and "different" depends on analytical purpose and level of analysis. In practice, relevant varieties are evident from the problem context - whether analysing theoretical possibilities, technical feasibility, or immediately accessible options becomes clear from the specific application.

Publications

Below are articles, conference papers, theses and sundries relating to Variety Dynamics. These are typically as pre-prints. The final published versions are available from the publishers described in the references.

2025

Love, T. (2025) Variety Dynamics Axioms and Descriptions (draft for comment). Praxis Education Publishers, Perth.

Love, T. and Cooper, T. (2025) Variety Dynamics for Taking Control of Complex Heterogenous Systems in Information Warfare, Journal of Information Warfare, 24 (2), pp. 60-78

Love, T. (2025) CPTED or Security? Financial & legal liabilities & ethics for Local Government, Police, Planners, Architects, CPTED practitioners and the ICA. ICA CPTED Journal.

2024

Love, T. (2024). New Military History: Using Variety Dynamics. Military History Conference, Lancaster University, Lancaster, UK (pptx as pdf).

2023

2022

Love, T. (2022). Variety Methods and Variety Theory: An Innovation Framework for Cyber-Security. Presentation developed for Australian Information Security Association annual conference, Perth, Western Australia.

Love, T., Cozens, P., Cooper, T. (2022). Planning Theory, Crime Prevention through Environmental Design (CPTED) and complexity: what planners can learn from COVID-19. Urban Policy and Research (in press). (pdf)

Love, T. & Cooper, T. (2022) Variety Dynamics support for System Dynamics. System Thinking and Modelling Symposium 4 Feb 2022. Oceania Chapter of System Dynamics Society.  (PowerPoint)

Love, T. (2022) Three Categories of Design Thinking: Routine, Simple/Complicated and Complex. Journal of Design Thinking. Volume 2, Issue 2, December 2021, Pages 191-214.

2021

Love, T. (2021) Variety Dynamics Overview for ICCPM. International Centre for Complex Project Management.

Love, T. & Cooper, T. (2021) Variety Dynamics for Operational Research, OR63 International Operational Research Society Conference.

Love, T. (2021). Variety Dynamics: A New Dimension of CPTED. International CPTED Conference, Helsingborg, Sweden

Love, T. (2010). An introduction to Variety Dynamics. ANZSYS Conversations. July 2021

2019

Love, T. (2019) Eight Keys to Effective Natural Surveillance. LinkedIn Pulse

2018

Love, T. (2018). The 2 Feedback Loop Axiom and its  Implications for OR, Systems Thinking and Wicked Problems in Planning and Crime Prevention. OR60 Operational Research Conference, Lancaster University, UK.

Love, T. (2018). Machiavelli:  Using Distribution and Dynamics of Variety to Change the Locus of Control of Complex Socio-Technical-Political Systems. OR60 Operational Research Conference, Lancaster University, UK.

Love, T. (2018). Thief of Time: Time as an Equivalent to Variety to Manipulate Power and Control in Complex Socio-Technical Political Situations. OR60 Operational Research Conference, Lancaster University, UK.

Love, T. (2018) Improving Counter IED Outcomes: A case study written for the Defense Science and Technology Laboratory demonstrating the use of a Variety Method. Informal report requested by DSTL, UK

Love, T. (2018) Variety Analysis of Northbridge Curfew. Internal working document Design Out Crime and CPTED Centre.

2015

Love, T. (2013). Confidentiality Risks for Engineers: 5 Tools for Secure Engineering Communications. Institution of Mechanical Engineers Panel Presentation, Perth , WA.

2011

Love, T. (2011) Implications of Personal Delusions in Design and the 2-Feedback Loop Limitation. Anti-Po-Des Design Research Journal submission (unclear whether published).

Love, T. (2011). Three Essential Design Factors in Successful Social Business Development. (provocation submission for Design for Social Business book).

Love, T. & Cooper, T. (2011). Digital Ecosystems: Conceptual Optimisation to Manage Complexity, Interoperability and Viability, Digital Ecosystems Journal .

Love, T. (2011). New Directions in Design: Five new systems-based design approaches. International Journal of Design submission (unclear whether published).

Love, T. & Cooper, T. (2011) Using Variety Analyses to Improve Educational Sustainability and Liveability. ANZSYS Conference Brisbane.

Love, T. (2011) Motivational information systems have a reduced or negative effect in discontinuous situations. The Journal of Information Systems and Telecommunications (submitted- unclear if published).

2010

Love, T. (2010). Can you feel it? Yes we can! Human Limitations in Design Theory (invited plenary). Paper presented at the CEPHAD 2010 conference, Copenhagen, Denmark (pdf of paper).

Love, T. (2010). Can you feel it? Yes we can! Human Limitations in Design Theory (invited plenary). Paper presented at the CEPHAD 2010 conference, Copenhagen, Denmark (pdf of PowerPoint) 

Love, T. (2010). Design Guideline Gap and 2 Feedback Loop Limitation: Two issues in Design and Emotion theory, research and practice. In J. Gregory, K. Sato & P. Desmet (Eds.), Proceedings of the 7th Design and Emotion Conference 2010 Blatantly Blues. Chicago: Institute of Design and Design and Emotion Society (pdf of paper). 

Love, T. (2010). Design Guideline Gap and 2 Feedback Loop Limitation: Two issues in Design and Emotion theory, research and practice. In J. Gregory, K. Sato & P. Desmet (Eds.), Proceedings of the 7th Design and Emotion Conference 2010 Blatantly Blues. Chicago: Institute of Design and Design and Emotion Society (pdf of PowerPoint).

Love, T. (2010). Scope of Design. Research and Creative Practices Seminar 31 Aug 2010, Curtin University, Perth (pdf of PowerPoint)

Love, T. (2010). New Directions in Sustainable Design. Ethology Draws!. Research and Creative Practices Seminar 2 June 2010, Curtin University, Perth (pdf of PowerPoint)

2009

Love, T. & Cooper, T. (2009). How to steal control of an organization: new Systems Science tools for CEOs, organizational strategists, technologists, activists and military strategists. University of Oregon System Sciences seminar.

Love, T. (2009). Understanding in Design Edited from presentation by T. Love for Linus Pauling Memorial Lecture 'Holistic Design'. (15 Jan 2009). Portland: Institute of Science, Engineering and Public Policy.

Love, T. (2009). University-Based Units providing Design and Innovation Support for Businesses and Public Sector Organisations. In E. Corte-Real, A. Couto & C. Duarte (Eds.), Proceedings of the 5th Internacional Conference of UNIDCOM/IADE "40IADE40" (pp. 402-409). Lisbon: IADE - Creative University.

Love, T. (2009). Complicated and Complex Crime Prevention and the 2 Feedback Loop Law. In T. Cooper, P. Cozens, K. Dorst, P. Henry & T. Love (Eds.), Proceedings of iDOC'09 'What's Up Doc' International Design Out Crime Conference. Perth: Design Out Crime Research Centre. Proceedings online at http://www.designoutcrime.org/ocs2/index.php/iDOC/2009/schedConf/presentations

Love, T. ( 2009). Counter-intuitive Design Thinking: Implications for Design Education, Research and Practice (including pandemic management). Cumulus 38South Conference, Melbourne (pdf ).

Love, T. (2009) 'Holistic Design'. Linus Pauling Memorial Lecture (15 Jan 2009). Portland: Institute of Science, Engineering and Public Policy. [pdf of pptx].

Love, T. and Cooper, T. (2009) Built Environments of Digitally-based Ecosystems: Systemic Variety-Based Design. Invited lecture to Dept of Architecture, University of Oregon [pdf  of pptx].

Love, T. and Cooper, T. (2009) Built Environments of Digitally-based Ecosystems: Systemic Variety-Based Design. Invited lecture to Dept of Architecture, University of Oregon [Introductory notes].

Yang, S and Love, T. (2009) Designing Shape-shifting of Knitwear by Stitch Shaping Combinatorics: A simple mathematical approach to developing knitwear silhouettes efficaciously. IASDR Conference 2009: Design / Rigor & Relevance, Seoul: International Association of Societies of Design Research and the Korean Society for Design [pdf 185Kb] 

2008

Love, T. , & Cooper, T. (2008). Motivational Information Systems: Case study of a University Research Productivity Index and 6th Extension to Ashby’s Law Paper presented at the ANZSYS'08: 14th International Conference, Perth, WA.

Love, T. (2008). Design & Innovation: Integrating Engineering, Information Systems, Business and Humanities. Paper (ppt) presented at the Digital Ecosystems and Business Intelligence Institute (DEBII) Research Forum.

Love, T. (2008). Improving Design of Micro-business Systems via VSM and Constituent Orientation Analysis. In C. Rust (Ed.), Design Research Society International Conference 2008: Undisciplined! (pp. CDROM). Sheffield, UK: Sheffield Hallam University and Design Research Society [CDROM].

Love, T. & Cooper, C. (2008). Machiavelli with Extra Variety: Taking Organisational Power and Control. Paper (ppt) presented at the Institute of Enterpreneurship and Enterprise Development, Management School, Lancaster University, Lancaster, UK. [pdf  of PowerPoint - 1Mb]

Love, T., & Cooper, C. (2008). Machiavelli with Extra Variety: Taking Organisational Power and Control. Paper (ppt) presented at the Systems Thinking Group of Western Australia, Technology Park, Bentley, Western Australia.

2007

Love, T., & Cooper, T. (2007). Complex Built-environment Design: Four Extensions to Ashby. Kybernetes, 46(9/10), 1422-1435.

Love, T. And Cooper, T (2007) Successful activism strategies: Five new extensions to Ashby. In K. Fielden & J. Sheffield (Eds), Systemic development: local solutions in a global environment, ANZSYS 2007 proceedings [CDROM]. Auckland, NZ: Unitech.

Love, T., & Cooper, T. (2007). Digital Eco-systems Pre-Design: Variety Analyses, System Viability and Tacit System Control Mechanisms. In E. Chang & F. K. Hussain (Eds.), 2007 Inaugural IEEE International Conference on Digital Ecosystems and Technologies 21-23 February 2007 Cairns, Australia (pp. 452-457). Los Alamitos, CA: IEEE.

Love, T., & Cooper, T. (2007). An Inclusive Approach to Learning Object Architectures: Portfolios and RDF. In K. Harman & A. Koohang (Eds.), Learning Objects: Standards, Metadata, Repositories, and LCMS (pp. 315-350). Santa Rosa, California: Informing Science Press.

Love, T. (2007). System Dynamics modelling of national design infrastructure development. In K. Fielden & J. Sheffield (Eds.), Systemic development: local solutions in a global environment. ANSYS 2007 proceedings (Vol. [CDROM]). Auckland: Unitech.

2006

Love, T. (2006). Design Centres as Elements of Design Infrastructure. SEEDesign Bulletin (Design Wales)(2), 3-5.

Love, T. (2006). A Systems Analysis of the Problem of Professional Practice in Design: "Why Mac Computer Systems Reduce Creativity and Inhibit Quality Improvement of Novel Innovative Design" - Plenary.WonderGround, Designing interdisciplinary discourse, conspiring for Design Leadership, Design Research Society International Conference 2006 Lisbon, Portugal: IADE - Instituto Artes Visuais Design Marketing.

2005

Love, T. (2005). Design Infrastructure: Australian Developments. In 2005IDC New Design Paradigms Proceedings Douliou, Taiwan: National Yunlin University of Science and Technology and International Association of Design Research Societies (paper).

Love, T. (2005). Design Infrastructure: Australian Developments. In 2005IDC New Design Paradigms Proceedings Douliou, Taiwan: National Yunlin University of Science and Technology and International Association of Design Research Societies (PowerPoint as pdf).

Love, T. (2005). A Unified Basis for Design Research and Theory. In 2005IDC New Design Paradigms Proceedings (paper N00000808ATLIP00000971.pdf [CDROM]). Douliou, Taiwan: National Yunlin University of Science and Technology and International Association of Design Research Societies.

Love, T. (2005). The Practical Implications of the Essentially Two-faced Nature of Design. In E. Corte-Real, C. A. M. Duarte & F. Carvalho Rodrigues (Eds.), Pride & Predesign The Cultural Heritage and the Science of Design 2005 (pp. 251-254). Lisbon: IADE/UNIDCOM.

Love, T. (2005). The Future of e-Learning: Inclusive learning objects using RDF. Paper presented at the IEED Seminar 25 October 05, Lancaster University.

Love, T. (2005). Design Economies: Moving on from the Knowledge Economy. The Key Roles of Design Infrastructure in National Economic Development, Public Lecture, John Curtin Institute of Public Policy (19 Aug 05).

2004

Jonas, W., & Love, T. (2004). Interview with Terence Love. In W. Jonas (Ed.), Mind the Gap! On knowing and not-knowing

Love, T. (2004). Design Economies: Moving on from the Knowledge Economy. The central and essential role of design activity and infrastructure in local economic and social development. Presentation to the Institute for Small Business Affairs, ISBA Research Day, Lancaster University, Lancaster, UK, 25 May 2004. (PowerPoint slides).

2003

Love, T., & Tellefsen, B. (2003). Constituent Market Orientation and Ownership of Virtual Marketplaces. Journal of Logistics and Information Management, 16(1), 8-17.

Love, T. (2003). Design and Sense: Implications of Damasio's Neurological Findings for Design Theory. Proceedings of Science and Technology of Design, Senses and Sensibility in Technology - Linking Tradition to Innovation through Design 25-26 September 2003, Lisbon, Portugal.

Love, T. (2003). Metrics for Bench-marking International Design Infrastructure. Proceedings of Science and Technology of Design, Senses and Sensibility in Technology - Linking Tradition to Innovation through Design 25-26 September 2003, Lisbon, Portugal.

Love, T. (2003). Beyond Emotions in Designing & Designs: Epistemological & Practical Issues. In D. McDonagh, D. Gyi, P. Hekkert & J. v. Erp (Eds.), Design and Emotion (pp. 387-391). London: Taylor & Francis.

Love, T. (2003). Customers' Use of Products as Design Tools. In Proceedings of the 6th Asian Design Conference. Tsukuba. (pdf)

Tellefsen, B., & Love, T. (2003). Constituent Market Orientation as a Basis for Integrated Design Processes and Design Management. In Proceedings of the 6th Asian Design Conference. Tsukuba.

Love, T. (2003). A Fork in the Road: Systems and Design. In T. Haslet & R. Sarah (Eds.), Proceedings of the 9th ANZSYS Australian and New Zealand Systems Conference - Monash University. Melbourne: Monyx.

Love, T. (2003). Design as a Social Process: Bodies, Brains and Social Aspects of Designing. Journal of Design Research.

2002

Love, T. (2002). Constructing a Coherent Cross-disciplinary Body of Theory about Designing and Designs: Some Philosophical Issues. International Journal of Design Studies, 23(3), 345-361.

Love, T. (2002). Learning from the Design-Science Paradox: New Foundations for a Field of Design. In W. Jonas (Ed.), The Basic Paradox.

Love, T. (2002). Design Management: Some Implications of Affect-based Theories of Cognition. BISCA 2002, MittelEuropa Foundation, Univ. of Trento. (pptx as pdf).

Love, T. (2002). Are the Reflective Practitioner and Learning Cycles suitable Foundations for Theories about Designing and Design Cognition? In D. Durling & J. Shackleton (Eds.), Common Ground. Proceedings of the Design Research Society International Conference at Brunel University, September 5-7, 2002. (pp. 678-686). Stoke-on-Trent: Staffordshire University Press.

Tellefsen, B. & Love, T. (2002). Understanding Designing and Design Management through Constituent Market Orientation and Constituent Orientation. In D. Durling & J. Shackleton (Eds.), Common Ground. Proceedings of the Design Research Society International Conference at Brunel University, September 5-7, 2002. Stoke-on-Trent: Staffordshire University Press.

Love, T. (2002). Review of 'Flood, R. & Carson, E. R. (Eds) (1988) Dealing with Complexity: An Introduction to the Theory and Application of Systems Science'. Visible Language, 36(2).

Love, T. (2002). Beyond Emotions in Designing & Designs: Epistemological & Practical Issues. Paper presented at the Design & Emotion '02 Conference, Loughborough, UK

Love, T. (2002). Complexity in Design Management: Layered System Dynamics Graphs. ANZSYS'02 'Management Approaches to Complex Systems', Mooloolaba, Qld. (Paper - pdf) (PowerPoint - pdf)

2001

Love, T. (2001). Strategic Management of Knowledge for Designers: Meta-Theoretical Hierarchy as a Foundation for Knowledge Management Tools. In J. Gero & K. Hori (Eds.), Strategic Knowledge and Concept Formation (pp. 3-16). Sydney: Key Centre of Design Computing and Cognition, University of Sydney.

Love, T. (2001). Concepts and Affects in Computational and Cognitive Models of Designing. In J. S. Gero, M. L. Maher (Eds.), Computational and Cognitive Models of Creative Design (pp. 3-23). Sydney: University of Sydney.

Love, T. (2001). Changes to Theory Making about Systems Involving People: Meta-theoretical Analysis and Brain Research. In W. Hutchinson & M. Warren (Eds.), The Relevance of Systems Thinking in the Contemporary World: Systems in Management 7th Annual ANZSYS Conference Proceedings (pp. 69-79). Perth: We-B Research Centre, Edith Cowan University.

Love, T. (2001). Designing Information Security for Small Businesses: Lessons from a Case Study. 2nd Australian Information Warfare & Security Conference, Perth, Western Australia.

Tellefsen, B., & Love, T. (2001). Constituent Market Orientation and Virtual Organisations. In S. Stoney & B. J (Eds.), Working for Excellence in the E-conomy (pp. 195-204). Scarborough, WA: We-B Research Centre, Edith Cowan University.

2000

Love, T. (2000). Philosophy of Design: a Meta-theoretical Structure for Design Theory. Design Studies, 21(3), 293-313.

Love, T. (2000). Educating Those involved in Changing Human Futures: A More Coherent Program For Design Education. In C. Swann & E. Young (Eds.), Re-inventing Design Education in the University (pp. 242-248). Perth: School of Design, Curtin University of Technology.

Love, T. (2000). A Meta-theoretical basis for Design Theory. In D. Durling & K. Friedman (Eds.), Doctoral Education in Design: Foundations for the Future (pp. 45-54). Stoke-on-Trent, UK: Staffordshire University Press.

Love, T. (2000). Computerising Affective Design Cognition. International Journal of Design Computing, 2.

1999 and before 

Love, T. (1999). Engineering design education: some implications of  a post-positivist theory of design cognition. In N. Juster (Ed.), The Continuum of Design Education (pp. 33-42). Bury St Edmunds, UK: Professional Engineering Publishing Ltd.

Love, T. (1999). Values Role in Computer Assisted Designing. International Journal of Design Computing, 1.

Love, T. (1998) Values Role in Computer Assisted Designing. DCNET'98 conference. Key Centre of Design Computing, Sydney NSW.

Love, T. (1996). Social, environmental and ethical factors: their implications for design theory. In M. A. Groves & S. Wong (Eds.), Design for People (pp. 199-206). Perth: Edith Cowan University.

Love, T. (1995). Systems Models and Engineering Design Theory. In W. Hutchinson & S. Metcalf & C. Standing & M. Williams (Eds.), Systems for the Future (pp. 238–246). Perth Western Australia: Edith Cowan University.