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UID:211@cds.iisc.ac.in
DTSTART;TZID=Asia/Kolkata:20260706T160000
DTEND;TZID=Asia/Kolkata:20260706T170000
DTSTAMP:20260703T143358Z
URL:https://cds.iisc.ac.in/events/cds-kiac-seminar-cds-102-06th-july-towar
 d-societies-of-agents-reasoning-debate-and-collaborative-intelligence/
SUMMARY:CDS-KIAC {Seminar} @ CDS: #102: 06th\, July "Toward Societies of Ag
 ents: Reasoning\, Debate\, and Collaborative Intelligence"
DESCRIPTION:We welcome you to CDS-KIAC talk on 06th July 2026 (Monday). The
  details are as below:\n\n\n\nSpeaker : Prof. Anoop Cherian\, Senior Princ
 ipal Research Scientist at (MERL)\nTitle : Toward Societies of Agents: Rea
 soning\, Debate\, and Collaborative Intelligence\nDate and Time : July 06\
 , 2026: 04:00 PM\nVenue : # 102\, CDS Seminar Hall\n\n\n\nABSTRACT:\nThe n
 ext frontier of artificial intelligence may not be a single monolithic mod
 el\, but a society of agents that can reason\, disagree\, coordinate\, and
  learn through interaction. While large language and vision-language model
 s have shown remarkable capabilities\, they remain fragile as isolated dec
 ision makers: they hallucinate\, miscoordinate with partners\, and often s
 truggle to adapt to collaborative tasks. This talk asks a central question
 : how can agent interaction become a computational principle for building 
 more reliable\, reflective\, and cooperative AI systems? I will present tw
 o complementary lines of work toward this goal. In WISE\, we study reasoni
 ng as structured debate among heterogeneous foundation models. Rather than
  treating disagreement as noise\, WISE organizes models into specialized r
 oles—solvers\, critics\, and aggregators—and uses multi-round interact
 ion with probabilistic solution aggregation to turn agent diversity and un
 certainty towards robust multimodal inference. In LLawCo\, I will extend t
 his perspective from debate to embodied cooperation. In decentralized\, pa
 rtially observable environments\, agents must not only reason correctly\, 
 but also coordinate their actions and communication with partners. LLawCo 
 learns high-level behavioral laws of cooperation from failed interactions\
 , transforming recurring miscoordination into explicit priors for future p
 lanning\, communication\, and action. Together\, these works advance a bro
 ader technical perspective: moving from foundation models as isolated pred
 ictors to agentic societies that reason through mutual interaction. Across
  multimodal reasoning and embodied collaboration benchmarks\, we show that
  this structured interaction substantially improves robustness and achieve
 s state-of-the-art performance\, pointing toward AI systems that are not m
 erely larger\, but more collaborative\, adaptive\, and reliable.\n\nBIOGRA
 PHY:\nAnoop Cherian is a Senior Principal Research Scientist at Mitsubishi
  Electric Research Laboratories (MERL)\, Cambridge\, MA\, and an Adjunct A
 ssociate Professor at the Australian National University (ANU)\, Canberra\
 , Australia. He was previously a Research Fellow in the Australian Centre 
 for Robotic Vision (ACRV) at ANU and a Postdoctoral Fellow in the LEAR pro
 ject team at Inria\, Grenoble\, France. He received his M.S. and Ph.D. deg
 rees from the University of Minnesota\, Twin Cities\, in 2010 and 2013\, r
 espectively. He has authored more than 100 research papers and holds over 
 25 patents. He has organized several workshops\, including serving as a le
 ad organizer of the Multimodal Algorithmic Reasoning workshops at CVPR and
  NeurIPS over the past three years. He has also served as an Area Chair fo
 r top-tier computer vision and machine learning conferences since 2023. Hi
 s current research focus includes multimodal foundation models\, embodied 
 multi-agent behavior modeling and orchestration\, physics-grounded imagina
 tion\, and diffusion-based generative approaches for building AI systems t
 hat can reason about\, simulate\, and act in the physical world.\n\nHost F
 aculty: Prof. Venkatesh Babu\, CDS\n\n\n\nALL ARE WELCOME
CATEGORIES:Events,Talks
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