3333 < div class ="hero-badge "> ECML PKDD 2026 Workshop</ div >
3434 < h1 > < span class ="highlight "> AGENSYS</ span > </ h1 >
3535 < p class ="hero-full-title "> Workshop on Knowledge Discovery, Maintenance and Distributed Intelligence in Multi-Agent Systems</ p >
36- < p class ="hero-conference "> In conjunction with < strong > ECML PKDD 2026</ strong > </ p >
36+ < p class ="hero-conference "> In conjunction with < strong > ECML PKDD 2026</ strong > — Naples, Italy, September 7–11, 2026 </ p >
3737
3838 < div class ="hero-dates ">
3939 < div class ="hero-date-item ">
@@ -45,8 +45,12 @@ <h1><span class="highlight">AGENSYS</span></h1>
4545 < div class ="date "> TBA</ div >
4646 </ div >
4747 < div class ="hero-date-item ">
48- < div class ="label "> Workshop Date</ div >
49- < div class ="date "> September 2026</ div >
48+ < div class ="label "> Conference</ div >
49+ < div class ="date "> September 7–11, 2026</ div >
50+ </ div >
51+ < div class ="hero-date-item ">
52+ < div class ="label "> Location</ div >
53+ < div class ="date "> Naples, Italy</ div >
5054 </ div >
5155 </ div >
5256
@@ -70,11 +74,10 @@ <h2 class="section-title">Scope</h2>
7074 < section class ="section " id ="challenges ">
7175 < div class ="container ">
7276 < h2 class ="section-title "> Key Challenges</ h2 >
73- < p class ="section-subtitle "> Core research questions we aim to explore</ p >
7477 < div class ="challenges-grid ">
7578 < div class ="challenge-card ">
7679 < div class ="icon "> 🌐</ div >
77- < h3 > Grounding & Coordination</ h3 >
80+ < h3 > Grounding < span class =" amp " > &</ span > Coordination</ h3 >
7881 < p > How does access to heterogeneous external knowledge affect collaborative strategies among agents operating across distributed sites? How do retrieval-augmented agents coordinate when evidence is partially inconsistent?</ p >
7982 </ div >
8083 < div class ="challenge-card ">
@@ -89,7 +92,7 @@ <h3>Knowledge Drift Detection</h3>
8992 </ div >
9093 < div class ="challenge-card ">
9194 < div class ="icon "> 🛡</ div >
92- < h3 > Mitigation & Resilience</ h3 >
95+ < h3 > Mitigation < span class =" amp " > &</ span > Resilience</ h3 >
9396 < p > Can uncertainty modeling, confidence-weighted voting, graph-based consistency checks, or Byzantine-tolerant aggregation reduce collective errors across knowledge and distributed training dimensions?</ p >
9497 </ div >
9598 < div class ="challenge-card ">
@@ -110,10 +113,10 @@ <h3>Scalable Distributed Training</h3>
110113 < section class ="section " id ="topics ">
111114 < div class ="container ">
112115 < h2 class ="section-title "> Topics of Interest</ h2 >
113- < p class ="section-subtitle "> We welcome contributions on topics including, but not limited to</ p >
116+ < p class ="section-subtitle "> We welcome contributions on topics including, but not limited to: </ p >
114117 < div class ="topics-container ">
115118 < div class ="topic-group ">
116- < h3 > 🧠 Knowledge Discovery & Grounding</ h3 >
119+ < h3 > 🧠 Knowledge Discovery < span class =" amp " > &</ span > Grounding</ h3 >
117120 < ul >
118121 < li > Knowledge grounding and external knowledge integration in multi-agent systems</ li >
119122 < li > Learning and coordination under heterogeneous or inconsistent evidence</ li >
@@ -126,7 +129,7 @@ <h3>🧠 Knowledge Discovery & Grounding</h3>
126129 </ ul >
127130 </ div >
128131 < div class ="topic-group ">
129- < h3 > 🖧 Distributed Intelligence & Decentralized Learning</ h3 >
132+ < h3 > 🖧 Distributed Intelligence < span class =" amp " > &</ span > Decentralized Learning</ h3 >
130133 < ul >
131134 < li > Distributed and decentralized training of agentic architectures and foundation models</ li >
132135 < li > Decentralized optimization, consensus mechanisms, and convergence guarantees</ li >
@@ -138,7 +141,7 @@ <h3>🖧 Distributed Intelligence & Decentralized Learning</h3>
138141 </ ul >
139142 </ div >
140143 < div class ="topic-group ">
141- < h3 > ✅ Evaluation, Trust & Infrastructure</ h3 >
144+ < h3 > ✅ Evaluation, Trust < span class =" amp " > &</ span > Infrastructure</ h3 >
142145 < ul >
143146 < li > Evaluation frameworks and benchmarks for knowledge-grounded and distributed agent systems</ li >
144147 < li > Trust, explainability, and certifiability in distributed generative and agentic systems</ li >
@@ -176,14 +179,25 @@ <h2 class="section-title">Important Dates</h2>
176179 </ tr >
177180 < tr class ="highlight-row ">
178181 < td > Workshop Day</ td >
179- < td > September 2026 (co-located with ECML PKDD 2026)</ td >
182+ < td > September 7–11, 2026 — Naples, Italy (co-located with ECML PKDD 2026)</ td >
180183 </ tr >
181184 </ tbody >
182185 </ table >
186+ </ div >
187+ </ section >
183188
184- < div class ="special-issue ">
185- < h3 > 📚 Special Issue</ h3 >
186- < p > Selected contributions will be invited for a special issue in a journal such as < strong > EPJ Data Science</ strong > or < strong > ACM Transactions on Intelligent Systems and Technology</ strong > .</ p >
189+ <!-- Keynote Speaker -->
190+ < section class ="section " id ="keynote ">
191+ < div class ="container ">
192+ < h2 class ="section-title "> Confirmed Keynote Speaker</ h2 >
193+ < p class ="section-subtitle "> Invited talk</ p >
194+ < div class ="keynote-card ">
195+ < div class ="organizer-avatar "> DC</ div >
196+ < div class ="organizer-info ">
197+ < h3 > Prof. David Camacho</ h3 >
198+ < div class ="organizer-role "> Full Professor, Universidad Politécnica de Madrid</ div >
199+ < p class ="organizer-bio "> Head of the Applied Intelligence < span class ="amp "> &</ span > Data Analysis (AIDA) group. Expert in Multi-Agent Systems, Swarm Intelligence, and Computational Intelligence. Editor-in-Chief of Expert Systems (Wiley). His research targets agentic aerial intelligence, exploring how autonomous UAVs use reasoning and memory to collaborate in disaster response and infrastructure inspection.</ p >
200+ </ div >
187201 </ div >
188202 </ div >
189203 </ section >
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