Abstract:
Digital twins have emerged as a key enabler for monitoring, simulation, and optimization in complex systems. However, existing approaches remain fundamentally centered on state replication and prediction, lacking the ability to systematically reuse experience, interpret system behavior, and support interactive decision-making under dynamic conditions. In this article, we introduce the cognitive twin as a new system paradigm that extends state synchronization with structured cognitive capabilities, including perception, memory, causal reasoning, and interaction. Unlike traditional digital twins and their learning-based extensions, a cognitive twin maintains an evolving cognitive state that supports experience-aware reasoning, causal interpretation, and context-aware interaction, enabling a transition from data-driven monitoring toward understanding-driven operation. We develop a four-layer reference architecture that captures how cognitive processes are distributed across device, edge, and cloud domains and realized through the continuous exchange of structured state, contextual knowledge, and inferred decisions. A central insight is that this paradigm fundamentally reshapes the role of communication. Rather than solely supporting data exchange, communication directly influences the formation, synchronization, and evolution of cognitive state under heterogeneous constraints on latency, bandwidth, reliability, and synchronization. A key hypothesis explored in this article is that communication impairments affect cognitive fidelity asymmetrically with respect to semantic importance, such that degradation of semantically critical information may produce disproportionately large reasoning errors relative to equivalent losses in redundant or low-impact data streams. This perspective motivates wireless-native system designs in which communication, computation, memory, and cognition are jointly optimized rather than treated as independent subsystems. [...] |
Keywords: 6G networks, causal reasoning, cognitive twin, digital twin, distributed cognition, edge-cloud continuum, semantic communication
Rights: © International Telecommunication Union, available under the CC BY-NC-ND 3.0 IGO license.
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