Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Knowledge acquisition: principles and guidelines
Knowledge acquisition: principles and guidelines
Knowledge acquisition
Knowledge engineering
Artificial Intelligence
KQML as an agent communication language
CIKM '94 Proceedings of the third international conference on Information and knowledge management
Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Intelligent software agents
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Object-Oriented Design for Temporal GIS
Object-Oriented Design for Temporal GIS
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
Machine Learning
Spatial and Cognitive Simulation with Multi-agent Systems
COSIT 2001 Proceedings of the International Conference on Spatial Information Theory: Foundations of Geographic Information Science
SINERGY: A Linear Planner Based on Genetic Programming
ECP '97 Proceedings of the 4th European Conference on Planning: Recent Advances in AI Planning
People Manipulate Objects (but Cultivate Fields): Beyond the Raster-Vector Debate in GIS
Proceedings of the International Conference GIS - From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning on Theories and Methods of Spatio-Temporal Reasoning in Geographic Space
Developing multiagent systems: The Gaia methodology
ACM Transactions on Software Engineering and Methodology (TOSEM)
Artificial Intelligence: Structures and Strategies for Complex Problem Solving (5th Edition)
Artificial Intelligence: Structures and Strategies for Complex Problem Solving (5th Edition)
Project highlight: GeoCollaborative crisis management
dg.o '05 Proceedings of the 2005 national conference on Digital government research
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While current Geographic Information Systems (GISs) can represent observational spatial data well, they have limited capabilities in representing some non-observational social elements and goal-driven behaviours that can be important factors in a wide range of geographic issues. Such social components may include laws, regulations, polices, plans, culture, and customs, as well as their relations and interactions with the geographic environment at different scales. Getting beyond traditional data-centred approaches, this research presents a knowledge-oriented strategy in order to address these issues within a GIS context. We incorporate two major conceptual elements. First, extending from conventional agent notions and their geographic applications, geographic agents (GeoAgents) are considered as a basic representation component to specifically address social rules and goal-driven behaviours that impact the Earth and environmental systems. Second, in order to incorporate GeoAgents with current space-time representation, a new conceptual representation framework, called 'fields, objects, time, GeoAgents, and relations' (FOTAR), is introduced to address the cross-scale processes of both social and natural interactions. A Java-based prototype, GeoAgent-based Knowledge System (GeoAgentKS), is described to implement this framework by integrating agent technologies with multiple data and knowledge representation techniques, such as expert systems, concept maps, mathematical models, and geospatial databases. The application of this prototype in a case study is also presented, investigating scale-dependent human-environment interactions under different emergency situations for community water systems in Central Pennsylvania, USA. In this case study, a systematic set of methodologies of knowledge acquisition, representation, and confirmation for constructing GeoAgents' knowledge bases by using expert systems were explored to formalize high-level knowledge and social behaviours in the FOTAR-based representations. The results show that the proposed conceptual representation framework is achievable at both implementation and application levels, and the prototype tool is demonstrated to be valuable in facilitating knowledge sharing, policymaking, municipal management, and decision-making, especially for real-world emergency management.