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» Building Explainable Artificial Intelligence Systems
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JELIA
2010
Springer
13 years 3 months ago
The mcs-ie System for Explaining Inconsistency in Multi-Context Systems
The Multi-Context System Inconsistency Explainer allows for evaluation of semantics and explanation of inconsistencies in systems where heterogeneous knowledge bases are linked via...
Markus Bögl, Thomas Eiter, Michael Fink, Pete...
SWARM
2010
SPRINGER
178views Optimization» more  SWARM 2010»
13 years 5 days ago
On artificial immune systems and swarm intelligence
Abstract This position paper explores the nature and role of two bio-inspired paradigms, namely Artificial Immune Systems (AIS) and Swarm Intelligence (SI). We argue that there are...
Jon Timmis, Paul S. Andrews, Emma Hart
AGI
2008
13 years 6 months ago
Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning
Abstract. An artificial system that achieves human-level performance on opendomain tasks must have a huge amount of knowledge about the world. We argue that the most feasible way t...
Brian Milch
AAAI
1994
13 years 6 months ago
Agents that Learn to Explain Themselves
Intelligent artificial agents need to be able to explain and justify their actions. They must therefore understand the rationales for their own actions. This paper describes a tec...
W. Lewis Johnson
AGENTS
2001
Springer
13 years 10 months ago
Intelligent agents for an artificial market system
This paper describes an agent-based artificial market system whose underlying interaction protocols provide advanced features. Using the system, actors (i.e., customers and mercha...
Nikos I. Karacapilidis, Pavlos Moraitis