Expert systems are originally designed to generate feasible alternatives in automated manner. The users expect the systems to contribute to make decisions proactively and intellig...
We present new algorithms for inverse optimal control (or inverse reinforcement learning, IRL) within the framework of linearlysolvable MDPs (LMDPs). Unlike most prior IRL algorit...
The problem of "time separation" can be stated as follows: Given a system made of several connected components, each one entailing a local delay known with uncertainty, ...
By design, Case-Based Reasoning (CBR) systems do not need deep general knowledge. In contrast to (rule-based) expert systems, CBR systems can already be used with just some initial...
Situated cognition is not a mere philosophical concern: it has pragmatic implications for current practice in knowledge acquisition. Tools must move from being design-focused to b...