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Martin Purvis

Martin Purvis imageBS(Yale), MFA(Columbia), MS, PhD(Massachusetts)
Emeritus Professor

Room 7.06, Otago Business School
Tel +64 3 479 8318
Email martin.purvis@otago.ac.nz
Web http://waitaki.otago.ac.nz/~martin

Background and interests

Emeritus Professor Martin Purvis is the Director of the Software Engineering and Collaborative Modelling Laboratory, a centre for research in distributed information systems, agent-based software engineering, workflow and process modelling, distributed knowledge discovery systems, and broadband network communications.

He has been principal investigator on a number of externally-funded research projects and is the Principal Investigator of the Global Network Interconnectivity project funded by the Tertiary Education Commission.

He is the Director of both the Telecommunications and Software Engineering programmes in Applied Science and is the former head of the Information Science Department.

His teaching activities involve both telecommunications and software engineering

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Papers

Supervision

Currently supervising

  • Marzieh Jahanbazi

Currently co-supervising

  • Amir Sedigh
  • Sean Lee

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Publications

Afshar Sedigh, A. H., Purvis, M. K., Savarimuthu, B. T. R., Frantz, C. K., & Purvis, M. A. (2020). Impact of different belief facets on agents' decision: A refined cognitive architecture. arXiv. Retrieved from https://arxiv.org/abs/2004.11858

Afshar Sedigh, A. H., Frantz, C. K., Savarimuthu, B. T. R., Purvis, M. K., & Purvis, M. A. (2019). A comparison of two historical trader societies: An agent-based simulation study of English East India Company and New-Julfa. In P. Davidsson & H. Verhagen (Eds.), Multi-agent-based simulation XIX (MABS): Multi-agent-based simulation XIX: Lecture notes in artificial intelligence (Vol. 11463). (pp. 17-31). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-22270-3_2

Lee, S. H.-S., Deng, J. D., Purvis, M. K., Purvis, M., & Peng, L. (2018). An improved PBIL algorithm for optimal coalition structure generation of smart grids. In M. Ganji, L. Rashidi, B. C. M. Fung & C. Wang (Eds.), Trends and applications in knowledge discovery and data mining: Lecture notes in artificial intelligence (Vol. 11154). (pp. 345-356). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-04503-6_33

Yasir, M., Purvis, M., Purvis, M., & Savarimuthu, T. B. R. (2018). Complementary-based coalition formation for energy microgrids. Computational Intelligence. doi: 10.1111/coin.12171

Zareei, S., Afshar Sedigh, A. H., Deng, J. D., & Purvis, M. (2018). Buffer management using integrated queueing models for mobile energy harvesting sensors. Proceedings of the IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). 17581028 . IEEE. doi: 10.1109/PIMRC.2017.8292636

Edited Book - Research

Hogan, J., Montague, P., Purvis, M. K., & Steketee, C. (Eds.). (2004). ACSW frontiers 2004: Conferences in research and practice in information technology, Volume 32. Bedford Park, Australia: Australian Computer Society Inc, 212p.

Denzer, R., Swayne, D. A., Purvis, M. K., & Schimak, G. (Eds.). (2000). Environmental Software Systems - Environmental Information and Decision Support. Dordecht, The Netherlands: Kluwer Academic, 268p.

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Chapter in Book - Research

Afshar Sedigh, A. H., Frantz, C. K., Savarimuthu, B. T. R., Purvis, M. K., & Purvis, M. A. (2019). A comparison of two historical trader societies: An agent-based simulation study of English East India Company and New-Julfa. In P. Davidsson & H. Verhagen (Eds.), Multi-agent-based simulation XIX (MABS): Multi-agent-based simulation XIX: Lecture notes in artificial intelligence (Vol. 11463). (pp. 17-31). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-22270-3_2

Lee, S. H.-S., Deng, J. D., Purvis, M. K., Purvis, M., & Peng, L. (2018). An improved PBIL algorithm for optimal coalition structure generation of smart grids. In M. Ganji, L. Rashidi, B. C. M. Fung & C. Wang (Eds.), Trends and applications in knowledge discovery and data mining: Lecture notes in artificial intelligence (Vol. 11154). (pp. 345-356). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-04503-6_33

Gu, X., & Purvis, M. (2016). Image segmentation with superpixel based covariance descriptor. In H. Cao, J. Li & R. Wang (Eds.), Trends and applications in knowledge discovery and data mining: Lecture notes in artificial intelligence (Vol. 9794). (pp. 154-165). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-42996-0_13

Jahanbazi, M., Frantz, C., Purvis, M., & Purvis, M. (2016). The role of knowledge keepers in an artificial primitive human society: An agent-based approach. In V. Dignum, P. Noriega, M. Sensoy & J. S. Sichman (Eds.), Coordination, organizations, institutions, and norms in agent systems XI (COIN): Lecture notes in artificial intelligence (Vol. 9628). (pp. 154-172). Cham, Switzerland: Springer International. doi: 10.1007/978-3-319-42691-4_9

Frantz, C., Purvis, M. K., Purvis, M. A., Nowostawski, M., & Lewis, N. D. (2015). Fuzzy modeling of economic institutional rules. In A. Sadeghian & H. Tahayori (Eds.), Frontiers of higher order fuzzy sets. (pp. 87-129). New York: Springer.

Jahanbazi, M., Frantz, C., Purvis, M., & Purvis, M. (2015). Building an artificial primitive human society: An agent-based approach. In A. Ghose, N. Oren, P. Telang & J. Thangarajah (Eds.), Coordination, organizations, institutions and norms in agent systems X (COIN): Lecture notes in artificial intelligence (Vol. 9372). (pp. 89-96). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-25420-3_16

Yasir, M., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2015). Improving energy outcomes in dynamically formed micro-grid coalitions. In A. Ghose, N. Oren, P. Telang & J. Thangarajah (Eds.), Coordination, organizations, institutions and norms in agent systems X (COIN): Lecture notes in artificial intelligence (Vol. 9372). (pp. 251-267). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-25420-3_16

Frantz, C., Purvis, M., Savarimuthu, B. T. R., & Nowostawski, M. (2015). Modelling the impact of role specialisation on cooperative behaviour in historic trader scenarios. In A. Ghose, N. Oren, P. Telang & J. Thangarajah (Eds.), Coordination, organizations, institutions and norms in agent systems X (COIN): Lecture notes in artificial intelligence (Vol. 9372). (pp. 53-71). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-25420-3_16

Farhangian, M., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2015). Agent-based modeling of resource allocation in software projects based on personality and skill. In F. Koch, C. Guttmann & D. Busquets (Eds.), Advances in social computing and multiagent systems: Communications in computer and information science (Vol. 541). (pp. 130-146). Cham, The Netherlands: Springer. doi: 10.1007/978-3-319-24804-2_9

Frantz, C., Purvis, M. K., Nowostawski, M., & Savarimuthu, B. T. R. (2015). Analysing the apprenticeship system in the Maghribi Traders Coalition. In F. Grimaldo & E. Norling (Eds.), Multi-agent-based simulation XV (MABS): Lecture notes in artificial intelligence (Vol. 9002). (pp. 180-196). Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-14627-0_13

Farhangian, M., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2015). The effects of temperament and team formation mechanism on collaborative learning of knowledge and skill in short-term projects. In F. Koch, C. Guttmann & D. Busquets (Eds.), Advances in social computing and multiagent systems: Communications in computer and information science (Vol. 541). (pp. 48-65). Cham, The Netherlands: Springer. doi: 10.1007/978-3-319-24804-2_4

Yasir, M., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2014). An intelligent learning mechanism for trading strategies for local energy distribution. In S. Ceppi, E. David, V. Podobnik, V. Robu, O. Shehory, S. Stein & I. A. Vetsikas (Eds.), Agent-mediated electronic commerce: Designing trading strategies and mechanisms for electronic markets (LNBIP 187). (pp. 159-170). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-13218-1_12

Frantz, C., Purvis, M. K., Nowostawski, M., & Savarimuthu, B. T. R. (2014). Modelling institutions using dynamic deontics. In T. Balke, F. Dignum, M. Birna van Riemsdijk & A. K. Chopra (Eds.), Coordination, organizations, institutions, and norms in agent systems IX (COIN): Lecture notes in artificial intelligence (Vol. 8386). (pp. 211-233). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-07314-9_12

Farhangian, M., Purvis, M. K., Purvis, M., & Savarimuthu, B. T. R. (2014). Modelling the effects of personality and temperament in small teams. In T. Balke, F. Dignum, M. Birna van Riemsdijk & A. K. Chopra (Eds.), Coordination, organizations, institutions, and norms in agent systems IX (COIN): Lecture notes in artificial intelligence (Vol. 8386). (pp. 25-41). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-07314-9_2

Yasir, M., Purvis, M. K., Purvis, M., & Savarimuthu, B. T. R. (2014). Intelligent battery strategies for local energy distribution. In T. Balke, F. Dignum, M. Birna van Riemsdijk & A. K. Chopra (Eds.), Coordination, organizations, institutions, and norms in agent systems IX (COIN): Lecture notes in artificial intelligence (Vol. 8386). (pp. 63-80). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-07314-9_4

Andrighetto, G., Cranefield, S., Conte, R., Purvis, M., Purvis, M., Savarimuthu, B. T. R., & Villatoro, D. (2013). (Social) norms and agent-based simulation. In S. Ossowski (Ed.), Agreement technologies: Law, governance and technology series (Vol. 8). (pp. 181-189). Dordrecht, The Netherlands: Springer. doi: 10.1007/978-94-007-5583-3_11

Ebadi, T., Purvis, M., & Purvis, M. K. (2012). A Colored Petri Net model to represent the interactions between a set of cooperative agents. In D. Beneventano, Z. Despotovic, F. Guerra, S. Joseph, G. Moro & A. Perreau de Pinninck (Eds.), Agents and peer-to-peer computing: Lecture notes in artificial intelligence (Vol. 6573). (pp. 141-152). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-31809-2_13

Frantz, C., Nowostawski, M., & Purvis, M. K. (2012). Augmenting Android with AOSE principles for enhanced functionality reuse in mobile applications. In F. Dechesne, H. Hattori, A. ter Mors, J. M. Such, D. Weyns & F. Dignum (Eds.), Advanced agent technology: Lecture notes in computer science (Vol. 7068). (pp. 187-211). Berlin, Germany: Springer. doi: 10.1007/978-3-642-27216-5_13

Savarimuthu, S., Purvis, M., & Purvis, M. K. (2012). Altruistic sharing using tags. In D. Beneventano, Z. Despotovic, F. Guerra, S. Joseph, G. Moro & A. Perreau de Pinninck (Eds.), Agents and peer-to-peer computing: Lecture notes in artificial intelligence (Vol. 6573). (pp. 1-12). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-31809-2_1

Ranathunga, S., Cranefield, S., & Purvis, M. (2012). Interfacing a cognitive agent platform with Second Life. In M. Beer, Brom, F. Dignum & V.-W. Soo (Eds.), Agents for educational games and simulations: Lecture notes in artificial intelligence (Vol. 7471). (pp. 1-21). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-32326-3_1

Ranathunga, S., Cranefield, S., & Purvis, M. (2012). Integrating expectation monitoring into BDI agents. In L. Dennis, O. Boissier & R. H. Bordini (Eds.), Programming multi-agent systems: Lecture notes in artificial intelligence (Vol. 7217). (pp. 74-91). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-31915-0_5

Savarimuthu, S., Purvis, M., Savarimuthu, B. T. R., & Purvis, M. (2012). Gossip-based self-organising open agent societies. In N. Desai, A. Liu & M. Winikoff (Eds.), Principles and practice of multi-agent systems: Lecture notes in artificial intelligence (Vol. 7057). (pp. 105-120). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-25920-3_8

Frantz, C., Nowostawski, M., & Purvis, M. K. (2012). Micro-agents on Android: Interfacing agents with mobile applications. In F. Dechesne, H. Hattori, A. ter Mors, J. M. Such, D. Weyns & F. Dignum (Eds.), Advanced agent technology: Lecture notes in computer science (Vol. 7068). (pp. 488-502). Berlin, Germany: Springer. doi: 10.1007/978-3-642-27216-5_37

Savarimuthu, B. T. R., Cranefield, S., Purvis, M. A., & Purvis, M. K. (2011). Identifying conditional norms in multi-agent societies. In M. de Vos, N. Fornara, J. V. Pitt & G. Vouros (Eds.), Coordination, organizations, institutions, and norms in agent systems VI (COIN): Lecture notes in artificial intelligence (Vol. 6541). (pp. 285-302). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-21268-0

Savarimuthu, S., Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2011). Mechanisms for the self-organization of peer groups in agent societies. In T. Bosse, A. Geller & C. M. Jonker (Eds.), Multi-agent-based simulation XI: Lecture notes in artificial intelligence (Vol. 6532). (pp. 93-107). Berlin, Germany: Springer. doi: 10.1007/978-3-642-18345-4_7

Savarimuthu, B. T. R., Cranefield, S., Purvis, M. A., & Purvis, M. K. (2010). Internal agent architecture for norm identification. In J. Padget, A. Artikis, W. Vasconcelos, K. Stathis, V. Torres da Silva, E. Matson & A. Polleres (Eds.), Coordination, organizations, institutions and norms in agent systems V: Lecture notes in artificial intelligence (Vol. 6069). (pp. 241-256). Berlin, Germany: Springer.

Savarimuthu, B. T. R., Cranefield, S., Purvis, M., & Purvis, M. (2010). A data mining approach to identify obligation norms in agent societies. In L. Cao, A. L. C. Bazzan, V. Gorodetsky, P. A. Mitkas, G. Weiss & P. S. Yu (Eds.), Agents and data mining interaction: Lecture notes in computer science (Vol. 5980). (pp. 43-58). Berlin, Germany: Springer. doi: 10.1007/978-3-642-15420-1_5

De Oliveira, M., & Purvis, M. (2009). Aspects of openness in multi-agent systems: Coordinating the autonomy in agent societies. In D. Król & N. Thanh Nguyen (Eds.), Intelligence integration in distributed knowledge management. (pp. 119-131). Hershey, PA: Information Science Reference.

Savarimuthu, B. T. R., Purvis, M., Purvis, M., & Cranefield, S. (2009). Social norm emergence in virtual agent societies. In M. Baldoni, T. C. Son, M. B. van Riemsdijk & M. Winikoff (Eds.), Declarative agent languages and technologies VI: Lecture notes in artificial intelligence (Vol. 5397). (pp. 18-28). Berlin, Germany: Springer.

Savarimuthu, S., Purvis, M., Purvis, M., & Nowostawski, M. (2009). Mechanisms to restrict exploitation and improve societal performance in multi-agent systems. In D. Król & N. Thanh Nguyen (Eds.), Intelligence integration in distributed knowledge management. (pp. 182-194). Hershey, PA: Information Science Reference.

Savarimuthu, B. T. R., Cranefield, S., Purvis, M., & Purvis, M. (2008). Role model based mechanism for norm emergence in artificial agent societies. In J. S. Sichman, J. Padget, S. Ossowski & P. Noriega (Eds.), Coordination, organizations, institutions, and norms in agent systems III: Lecture notes in artificial intelligence (Vol. 4870). (pp. 203-217). Berlin, Germany: Springer. doi: 10.1007/978-3-540-79003-7_15

Purvis, M., Purvis, M., & Savarimuthu, B. T. R. (2008). Facilitating collaboration in a distributed software development environment using P2P architecture. In S. Joseph, Z. Despotovic, M. Gianluca & S. Begamaschi (Eds.), Agents and peer to peer computing: Lecture Notes in Artificial Intelligence (Vol. 4461). (pp. 167-174). Berlin, Germany: Springer. doi: 10.1007/978-3-540-79705-0_16

Nowostawski, M., & Purvis, M. (2007). Evolution and hypercomputing in global distributed evolvable virtual machines environment. In S. A. Brueckner, S. Hassas, M. Jelasity & D. Yamins (Eds.), Engineering self-organising systems: Lecture notes in computer science (Vol. 4335). (pp. 176-191). Berlin, Germany: Springer. doi: 10.1007/978-3-540-69868-5_12

Nowostawski, M., Epiney, L., & Purvis, M. (2006). Self-adaptation and dynamic environment experiments with evolvable virtual machines. In S. A. Brueckner, G. Di Marzo Serugendo & D. Hales (Eds.), Engineering self-organising systems: Lecture notes in computer science (Vol. 3910). (pp. 46-60). Berlin, Germany: Springer.

Wang, M., Nowostawski, M., & Purvis, M. (2006). Declarative agent programming support for a FIPA-compliant agent platform. In R. H. Bordini, M. Dastani, J. Dix & A. E. F. Seghrouchni (Eds.), Programming multi-agent systems: Lecture notes in computer science (Vol. 3862). (pp. 252-266). Berlin, Germany: Springer.

Savarimuthu, B. T. R., Purvis, M., & Purvis, M. (2006). Creating ontologies for a collaborative multi-agent based workflow system. In R. P. Katarzyniak (Ed.), Ontologies and soft methods in knowledge management. (pp. 201-216). Adelaide, Australia: Advanced Knowledge International.

Cranefield, S., Purvis, M. K., Nowostawski, M., & Hwang, P. (2005). Ontologies for interaction protocols. In V. Tamma, S. Cranefield, T. W. Finin & S. Willmott (Eds.), Ontologies for agents: Theory and experiences. (pp. 1-17). Basel, Switzerland: Birkhäuser.

Purvis, M. A., Savarimuthu, B. T. R., & Purvis, M. K. (2005). Evaluation of a multi-agent based workflow management system modeled using coloured Petri nets. In M. W. Barley & N. Kasabov (Eds.), Intelligent Agents and Multi-Agent Systems: 7th Pacific Rim International Workshop on Multi-Agents. Lecture Notes in Computer Science, Volume 3371. (pp. 206-216). Berlin, Germany: Springer.

De Oliveira, M., Nowostawski, M., Cranefield, S. J., & Purvis, M. K. (2005). The role of ontologies when modelling open multi-agent systems as institutions. In R. P. Katarzyniak (Ed.), Ontologies and soft methods in knowledge management. (pp. 181-199). Adelaide: Advanced Knowledge International.

Purvis, M. A., Purvis, M. K., Haidar, A., & Savarimuthu, B. T. R. (2005). A distributed workflow system with autonomous components. In M. W. Barley & N. Kasabov (Eds.), Intelligent agents and multi-agent systems: 7th Pacific Rim International Workshop on Multi-Agents. Lecture Notes in Computer Science, Volume 3371. (pp. 193-205). Berlin, Germany: Springer.

Purvis, M. K., Garside, N., Cranefield, S., Nowostawski, M., & De Oliveira, M. (2005). Multi-agent system technology for P2P applications on small portable devices. In G. Moro, S. Bergamaschi & K. Aberer (Eds.), Lecture notes in computer science (vol. 3601): Agents and peer-to-peer computing. (pp. 153-160). Berlin, Germany: Springer.

Cranefield, S., Pan, J., & Purvis, M. (2005). A UML ontology and derived content language for a travel booking scenario. In V. Tamma, S. Cranefield, T. W. Finin & S. Willmott (Eds.), Ontologies for agents: Theory and experiences. (pp. 259-276). Basel, Switzerland: Birkhäuser.

Nowostawski, M., Purvis, M. K., & Cranefield, S. (2005). An architecture for self-organising evolvable virtual machines. In S. A. Brueckner, G. Di Marzo Serugendo, A. Karageorgos & R. Nagpal (Eds.), Engineering self-organising systems: Methodologies and applications: Lecture notes in Artificial Intelligence (Vol. 3464). (10.1007/b136984 ed.) (pp. 100-122). Berlin, Germany: Springer.

Purvis, M. K., Cranefield, S., Nowostawski, M., & Purvis, M. A. (2004). Multi-agent system interaction protocols in a dynamically changing environment. In T. A. Wagner (Ed.), An application science for multi-agent systems. (pp. 95-112). Boston: Kluwer Academic.

Purvis, M. K., Nowostawski, M., Cranefield, S., & De Oliveira, M. (2004). Multi-agent interaction technology for peer-to-peer computing in electronic trading environments. In G. Moro, C. Sartori & M. P. Singh (Eds.), Lecture notes in computer science, Volume 2872: Agents and peer-to-peer computing. (pp. 150-161). Berlin: Springer.

Nowostawski, M., Purvis, M. K., & Cranefield, S. J. (2001). An architectural approach to messaging in multi-agent systems. In T. Wagner & O. F. Rana (Eds.), Infrastructure for Agents, Multi-agent Systems and Scalable Multi-agent Systems. (pp. 105-110). Berlin, Germany: Springer-Verlag.

Rana, O. F., Wagner, T., Greenberg, M. S., & Purvis, M. K. (2001). Infrastructure issues and themes for scalable MAS. In Agents workshop on infrastructure for multi-agent systems. (pp. 304-308). Springer.

Swayne, D. A., Denzer, R., Lilburne, L. R., Purvis, M. K., Quinn, N., & Storey, A. (2000). Environmental decision support systems: Exactly what are they. In R. Denzer, D. Swayne, M. K. Purvis & G. Schimak (Eds.), Environmental Software Systems - Environmental Information and Decision Support. (pp. 259-268). Dordecht, The Netherlands: Kluwer Academic.

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