Thinking Fast and Laterally: Multi-Agentic Approach for Reasoning about Uncertain Emerging Events

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This paper introduces lateral thinking to implement System-2 reasoning capabilities in AI systems, focusing on anticipatory and causal reasoning under uncertainty.

• We present a framework for systematic generation and modeling of lateral thinking queries and evaluation datasets.
• We introduce Streaming Agentic Lateral Thinking (SALT), a multi-agent framework designed to process complex, low-specificity queries in streaming data environments.
• SALT implements lateral thinking-inspired System-2 reasoning through a dynamic communication structure between specialized agents.