69 citations · 106 across the 15 of their papers we have counts for
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cs.AI2017★ 1 cited
Learning body-affordances to simplify action spaces
Nicholas Guttenberg, Martin Biehl, Ryota Kanai
Controlling embodied agents with many actuated degrees of freedom is a challenging task. We propose a method that can discover and interpolate between context dependent high-level…
cs.AI2017★ 7 cited
Action and perception for spatiotemporal patterns
Martin Biehl, Daniel Polani
This is a contribution to the formalization of the concept of agents in multivariate Markov chains. Agents are commonly defined as entities that act, perceive, and are goal-directe…
cs.AI2017★ 2 cited
Formal approaches to a definition of agents
Martin Biehl
This thesis contributes to the formalisation of the notion of an agent within the class of finite multivariate Markov chains. Agents are seen as entities that act, perceive, and ar…