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

• URL: http://arxiv.org/abs/2412.07977v1
• Date: Tue, 10 Dec 2024 23:29:11 GMT
• Title: Thinking Fast and Laterally: Multi-Agentic Approach for Reasoning about Uncertain Emerging Events
• Authors: Stefan Dernbach, Alejandro Michel, Khushbu Agarwal, Christopher Brissette, Geetika Gupta, Sutanay Choudhury,
• Abstract summary: This paper introduces lateral thinking to implement System-2 reasoning capabilities in AI systems.<n>We present a framework for systematic generation and modeling of lateral thinking queries and evaluation datasets.<n>We introduce Streaming Agentic Lateral Thinking (SALT), a multi-agent framework designed to process complex, low-specificity queries in streaming data environments.
• Score: 37.77679335989817
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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. Our key insight is that lateral information flow across long-distance agent interactions, combined with fine-grained belief management, yields richer information contexts and enhanced reasoning. Preliminary quantitative and qualitative evaluations indicate SALT's potential to outperform single-agent systems in handling complex lateral reasoning tasks in a streaming environment.

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