Predictive Assistance and the Temporal Dynamics of Exploratory Compression
Classical theories of cognition describe problem solving as exploratory search through structured problem spaces in which repeated interaction gradually compresses search into efficient representational structures. Predictive artificial intelligence systems introduce a distinct regime in which stabilization may occur before exploratory diversification unfolds, supplying solutions and decision trajectories prior to internally generated search. This paper develops a geometric dynamical framework in which attention evolves over a landscape of strategies shaped by stabilizing drift, endogenous exploratory perturbation, and responsiveness-gated learning. Predictive assistance is modeled as a p...
| Authors | Balaraju Battu |
|---|---|
| Primary category | cs.AI |
| Published | 8 June 2026 |
| Last updated at source | 16 September 2026 |
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