Methods, Models & Systems for Dealing with Some Business, Management & Engineering Problems

This keynote presentation will report some of our research work and experience on the development and applications of relevant methods, models, systems and simulation techniques in support of different types and various levels of decision making for business, management and engineering. In particular, the following topics will be covered. Modelling, multi-agent-based simulation and analysis of the allocation management of carbon dioxide emission permits in China (Nanfeng Liu & Shuliang Li Agent-based simulation of the dynamic evolution of enterprise carbon assets (Yin Zeng & Shuliang Li) A framework & system for extracting and representing project knowledge contexts using topic models and dynamic knowledge maps: a big data perspective (Jin Xu, Zheng Li, Shuliang Li & Yanyan Zhang) Open innovation: intelligent model, social media & complex adaptive system simulation (Shuliang Li & Jim Zheng Li) A framework, model and software prototype for modelling and simulation for deshopping behaviour and how companies respond (Shawkat Rahman & Shuliang Li) Integrating multiple agents, simulation, knowledge bases and fuzzy logic for international marketing decision making (Shuliang Li & Jim Zheng Li) A Web-based hybrid intelligent system for combined conventional, digital, mobile, social media and mobile marketing strategy formulation (Shuliang Li & Jim Zheng Li) A hybrid intelligent model for Web & social media dynamics, and evolutionary and adaptive branding (Shuliang Li) A hybrid paradigm for modelling, simulation and analysis of brand virality in social media (Shuliang Li & Jim Zheng Li) Network configuration management: attack paradigms and architectures for computer network survivability (Tero Karvinen & Shuliang Li)

e-poltergeist

E-poltergeist takes over the user’s internet browser, automatically initiating Web searches without their permission. Web-based artwork which explores issues of user control when confronted with complex technological systems, questioning the limits of digital interactive arts as consensual reciprocal systems. e-poltergeist was a major web commission that marked an early stage of research in a larger enquiry by Craighead and Thomson into the relationship between live virtual data, global communications networks and instruction-based art, exploring how such systems can be re-contextualised within gallery environments. e-poltergeist presented the 'viewer' with a singular narrative by using live internet search-engine data that aimed to create a perpetual and virtually unstoppable cycle of search engine results, banner ads and moving windows as an interruption into the normal use of an internet browser. The work also addressed the ‘de-personalisation’ of internet use by sending a series of messages from the live search engine data that seemed to address the user directly: 'Is anyone there?'; 'Can anyone hear me?', 'Please help me!'; 'Nobody cares!' e-poltergeist makes a significant contribution to the taxonomy of new media art by dealing with the way that new media art can re-address notions of existing traditions in art such as appropriation and manipulation, instruction-based art and conceptual art. e-poltergeist was commissioned ($12,000) for 010101: Art in Technological Times, a landmark international exhibition presented by the San Francisco Museum of Modern Art, which bought together leading international practitioners working with emergent technologies, including Tatsuo Miyajima, Janet Cardiff, Brian Eno. Peer recognition of the project in the form of reviews include: Curating New Media. Gateshead: Baltic Centre for Contemporary Art. Cook, Sarah, Beryl Graham and Sarah Martin ISBN: 1093655064; The Wire; http://www.wired.com/culture/lifestyle/news/2000/12/40464 (review by Reena Jana); Leonardo (review Barbara Lee Williams and Sonya Rapoport) http://www.leonardo.info/reviews/feb2001/ex_010101_willrapop.html All the work is developed jointly and equally between Craighead and her collaborator, Jon Thomson, Slade School of Fine Art.

A multi-agent-based evolution model of innovation networks in dynamic environments

An innovation network can be considered as a complex adaptive system with evolution affected by dynamic environments. This paper establishes a multi-agent-based evolution model of innovation networks under dynamic settings through computational and logical modeling, and a multi-agent system paradigm. This evolution model is composed of several sub-models of agents' knowledge production by independent innovations in dynamic situations, knowledge learning by cooperative innovations covering agents' heterogeneities, decision-making for innovation selections, and knowledge update considering decay factors. On the basis of above-mentioned sub-models, an evolution rule for multi-agent based innovation network system is given. The proposed evolution model can be utilized to simulate and analyze different scenarios of innovation networks in various dynamic environments and support decision-making for innovation network optimization.