Improvisational Games as a Benchmark for Social Intelligence of AI Agents: The Case of Connections
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arXiv:2604.00284v1 Announce Type: new Abstract: We formally introduce a improvisational wordplay game called Connections to explore reasoning capabilities of AI agents. Playing Connections combines skills in knowledge retrieval, summarization and awareness of cognitive states of other agents. We show how the game serves as a good benchmark for social intelligence abilities of language model based agents that go beyond the agents' own memory and deductive reasoning and also involve gauging the un
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Computer Science > Artificial Intelligence
[Submitted on 31 Mar 2026]
Improvisational Games as a Benchmark for Social Intelligence of AI Agents: The Case of Connections
Gaurav Rajesh Parikh, Angikar Ghosal
We formally introduce a improvisational wordplay game called Connections to explore reasoning capabilities of AI agents. Playing Connections combines skills in knowledge retrieval, summarization and awareness of cognitive states of other agents. We show how the game serves as a good benchmark for social intelligence abilities of language model based agents that go beyond the agents' own memory and deductive reasoning and also involve gauging the understanding capabilities of other agents. Finally, we show how through communication with other agents in a constrained environment, AI agents must demonstrate social awareness and intelligence in games involving collaboration.
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Subjects: Artificial Intelligence (cs.AI); Multiagent Systems (cs.MA)
Cite as: arXiv:2604.00284 [cs.AI]
(or arXiv:2604.00284v1 [cs.AI] for this version)
https://doi.org/10.48550/arXiv.2604.00284
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Journal reference: https://wordplay-workshop.github.io/wordplay2024/pdfs/16.pdf
Submission history
From: Gaurav Rajesh Parikh [view email]
[v1] Tue, 31 Mar 2026 22:16:25 UTC (67 KB)
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