Architecture for Pseudo Acausal Evolvable Embedded Systems
Mohd Abubakr, R.M.Vinay

TL;DR
This paper proposes a novel architecture for embedded systems that combines evolvability, autonomous behavior, and pseudo acausality by predicting future inputs, enhancing adaptability and complexity in design.
Contribution
It introduces a theoretical framework and architecture for pseudo acausal, evolvable embedded systems with autonomous capabilities, addressing design complexity.
Findings
Conceptual demonstration of pseudo acausal behavior
Framework for predicting future inputs in embedded systems
Discussion of architecture limitations
Abstract
Advances in semiconductor technology are contributing to the increasing complexity in the design of embedded systems. Architectures with novel techniques such as evolvable nature and autonomous behavior have engrossed lot of attention. This paper demonstrates conceptually evolvable embedded systems can be characterized basing on acausal nature. It is noted that in acausal systems, future input needs to be known, here we make a mechanism such that the system predicts the future inputs and exhibits pseudo acausal nature. An embedded system that uses theoretical framework of acausality is proposed. Our method aims at a novel architecture that features the hardware evolability and autonomous behavior alongside pseudo acausality. Various aspects of this architecture are discussed in detail along with the limitations.
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Taxonomy
TopicsEvolutionary Algorithms and Applications · Computability, Logic, AI Algorithms · Modular Robots and Swarm Intelligence
