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Research Areas


Anne Håkansson research areas within Computer science with the focus on Artificial Intelligence. More specially the areas are: Intelligent systems, Knowledge-based systems, Reasoning, Graphic Representation, Visualisation, knowledge management systems for, e.g., environmental impact assessment; Cyber-Physcial Systems, infrastructure and reasoning; Artificial Intelligent systems combining human senses; Multi-agent systems, Meta-agents and networks for different application areas, such as, e-business; Event-driven algorithm for distributed systems, large data sets and contexts. Visual Programming, Declarative Programming, User-Centred Design, and Knowledge Interface.

Recently, the research lies within Future Smart Citites and Smart Societies, and Volatile Multi Smart Systems and Network. Volatile Multi Smart Systems is the Next generation of systems with multiple connected systems that are only connected in some situations or for some purposes. Volatile means the situation decides the incorporated smart systems – data and information exchange is lost when the smart systems are out of the communication sphere. The Volatile Multi Smart Systems are necessary to be able to provide Future Smart Cities and Smart Societies with heterogeneous smart systems, things and objects.

For her work through the years,she received a KES Award for outstanding contributions to the activities and status of the KES organisation, 2012, and become an ambassador for Uppsala City, Sweden, 2009.


Systems and tools (developed)

EIA-system - Environmental Impact Assessment system

The KANAL-system - an intelligent rule editor

T-uck Tool - Tool for modelling systems

ViColl - Visual declarative programming system

Volatile Distributed Multi Smart Systems, VoLM2s

Volatile Distributed Multi Smart System Network



Some of the latest publications:


An Infrastructure for Individualised and Intelligent Decision-making and Negotiation in Cyber-physical Systems A Håkansson, R HartungProcedia Computer Science 35, 822-831, 2014

A method of identifying ontology domain D Wu, A HåkanssonProcedia Computer Science 35, 504-513, 2014

A method for creating and using a context knowledge base for ontology integration D Wu, A HåkanssonInformation Sciences, 2014


AIC–An AI-system for Combination of Senses A HåkanssonProcedia Computer Science 22, 40-49, 2013

Use of external facilitator to choose optimal rapid tooling method–A case study A Håkansson, J LundbergHigh Value Manufacturing: Advanced Research in Virtual and Rapid Prototyping ..., 2013

Environmental Impact Assessment: Assess for Sustainability A Håkansson Energy Procedia 42, 16-17, 2013

Conceptual Ontology Intersection for Mapping and Alignment of Ontologies A Håkansson, D WuAgent and Multi-Agent Systems in Distributed Systems-Digital Economy and E ..., 2013

Agent and Multi-agent Systems in Distributed Systems--Digital Economy and E-commerce A Håkansson, R Hartung Springer

More publications are listed here:¨