Topology via logic
Category theory for computing science
Category theory for computing science
Basic category theory for computer scientists
Basic category theory for computer scientists
Algebraic structure theory of sequential machines (Prentice-Hall international series in applied mathematics)
Artificial Life
A Living System Must Have Noncomputable Models
Artificial Life
The Localization Hypothesis and Machines
Artificial Life
Computational Realizations of Living Systems
Artificial Life
Merging Hierarchically-Structured Documents in Workflow Systems
Electronic Notes in Theoretical Computer Science (ENTCS)
Coalgebraic Trace Semantics for Combined Possibilitistic and Probabilistic Systems
Electronic Notes in Theoretical Computer Science (ENTCS)
Category theoretical distinction between autopoiesis and (M,R) systems
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
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Evolutionary computing in general and distributed online evolutionary computation in particular are hard problems in terms of monitoring, evaluation, generating functionality, and performance. We strive to complement current approaches and develop mechanisms which do not require the ex post effort of controlling the outcome of the computation. Instead, the goal of our research agenda foresees techniques which allow evolutionary and distributed computing to solve the problems above a priori. To support such an intrinsic system we make use of the powerful tool of algebra. Thus, this paper sheds some light on algebraic theories which allow the establishment of strong connections between biological concepts, automata theory, and the algebraic theories associated with them. We compile various contributions from different areas of research of the last few years discussing the algebraisation of biological systems and functions and their relation to automata theory and algebra. We highlight the role of category theory and abstract algebra and outline why these concepts are highly relevant for computational approaches inspired by biological mechanisms.