[et_pb_section fb_built=”1″ admin_label=”Header” _builder_version=”4.27.6″ _module_preset=”default” use_background_color_gradient=”on” background_color_gradient_stops=”rgba(0,0,0,0.5) 0%|rgba(0,0,0,0.5) 100%” background_color_gradient_overlays_image=”on” background_image=”https:\/\/storage.googleapis.com\/wp-uploads.bucket.wp.uc3m.es\/wp-content\/uploads\/sites\/148\/2026\/06\/09101539\/robynne-o-HOrhCnQsxnQ-unsplash.jpg” parallax=”on” custom_padding=”8%||8%||true|false” locked=”off” collapsed=”on” global_colors_info=”{}”][et_pb_row _builder_version=”4.27.6″ _module_preset=”default” width=”100%” max_width=”2000px” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.24.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”3e403966-82a0-43fb-a22a-152a8e6782d1″ header_text_color=”#FFFFFF” text_orientation=”center” custom_margin=”||10px||false|false” global_colors_info=”{}”]<\/p>\n
[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.27.6″ _module_preset=”default” min_height=”111.2px” custom_margin=”||||true|false” custom_padding=”4%||0%||false|false” animation_style=”fade” locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”default” text_font_size=”18px” text_orientation=”center” global_colors_info=”{}”]<\/p>\n
Reality is made up of interconnected individuals. Using agent-based modeling, at CAOS we simulate complex systems in which multiple autonomous software entities (agents) interact with one another. This approach allows us to study emergent collective behaviors, design intelligent social platforms, and create distributed solutions for human assistance. Some examples of this include Multi-Agent Systems (MAS) or, more directly, the simulation of virtual environments through the combination of agents. <\/p>\n
[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.27.6″ _module_preset=”default” custom_padding=”0px||0px||false|false” animation_style=”fade” global_colors_info=”{}”][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_team_member name=”Sistemas Multi-Agente” image_url=”https:\/\/storage.googleapis.com\/wp-uploads.bucket.wp.uc3m.es\/wp-content\/uploads\/sites\/148\/2026\/06\/10154942\/linea_ma_1.png” _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ body_font_size=”16px” text_orientation=”center” link_option_url_new_window=”on” border_radii_image=”on|10px|10px|10px|10px” locked=”off” global_colors_info=”{}”]<\/p>\n
Software architectures in which agents cooperate or compete to solve decentralized problems<\/p>\n
[\/et_pb_team_member][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_team_member name=”Simulaci\u00f3n de Entornos Virtuales” image_url=”https:\/\/storage.googleapis.com\/wp-uploads.bucket.wp.uc3m.es\/wp-content\/uploads\/sites\/148\/2026\/06\/10155011\/linea_ma_2.png” _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ body_font_size=”16px” text_orientation=”center” link_option_url_new_window=”on” border_radii_image=”on|10px|10px|10px|10px” locked=”off” global_colors_info=”{}”]<\/p>\n
Behavior Modeling and User Activity Recognition for Telecare or Assisted Training<\/p>\n
[\/et_pb_team_member][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_team_member name=”An\u00e1lisis de Flujo de Datos” image_url=”https:\/\/storage.googleapis.com\/wp-uploads.bucket.wp.uc3m.es\/wp-content\/uploads\/sites\/148\/2026\/06\/10155106\/linea_ma_3.png” _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ body_font_size=”16px” text_orientation=”center” link_option_url_new_window=”on” border_radii_image=”on|10px|10px|10px|10px” locked=”off” global_colors_info=”{}”]<\/p>\n
Traffic flow analysis, urban land-use planning, disease spread simulation, and automated decision-making<\/p>\n
[\/et_pb_team_member][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.27.6″ _module_preset=”default” custom_padding=”0px||0px||false|false” animation_style=”fade” global_colors_info=”{}”][et_pb_row _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”146e9892-5ebe-49d4-9f9c-ea008646cce3″ custom_margin=”||10px||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n
[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.27.6″ _module_preset=”default” custom_margin=”0px||0px||false|false” custom_padding=”0px||0px||false|false” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”default” text_font_size=”18px” custom_margin=”2%||||false|false” global_colors_info=”{}”]<\/p>\n
Modeling Human Behavior<\/strong>: Behavioral models have been developed within the autonomous vehicle ecosystem in which, rather than treating pedestrians or other vehicles as mere static or predictable obstacles, they are modeled as interactive autonomous agents with intentions and internal states (fatigue, distraction, probable trajectories).<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”default” text_font_size=”18px” custom_margin=”2%||||false|false” global_colors_info=”{}”]<\/p>\n Cooperative Urban Mobility<\/strong>: The development of smart city simulation environments where diverse agents coexist: connected vehicles, smart traffic lights, traffic sensors, and control centers. Through this modeling, they have demonstrated how the exchange of information among agents can alleviate traffic congestion and reduce pollutant emissions. <\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”default” text_font_size=”18px” custom_margin=”2%||||false|false” global_colors_info=”{}”]<\/p>\n Multi-Agent Logistics Fleets: Design of negotiation and consensus protocols in which each vehicle acts as an independent agent. When faced with an unforeseen event (such as a traffic jam or a breakdown), the agents \u201cnegotiate\u201d with one another autonomously to redistribute tasks and replan optimal routes in real time, without the need for a central server to recalculate the entire problem. <\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”default” text_font_size=”18px” custom_margin=”2%||||false|false” global_colors_info=”{}”]<\/p>\n European Success Story – Trainutri Project<\/strong>: The CAOS group led the development of the Trainutri social platform for seniors, funded by the European Union (Ambient Assisted Living Joint Program). The system used distributed intelligence and software agents to monitor, motivate, and guide the exercise and nutrition of older adults, substantially improving their quality of life. <\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.27.6″ _module_preset=”default” custom_margin=”0px||0px||false|false” custom_padding=”0px||||false|false” animation_style=”fade” locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”7d01a395-478c-4164-9be2-4e6de4a1c877″ text_font=”Shippori Mincho|700|||||||” text_text_color=”#333333″ text_font_size=”25px” text_line_height=”1.3em” hover_enabled=”0″ locked=”off” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n \u00abThe most dangerous power is that of someone who commands but does not govern.\u00bb [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Modeling of AgentsReality is made up of interconnected individuals. Using agent-based modeling, at CAOS we simulate complex systems in which multiple autonomous software entities (agents) interact with one another. This approach allows us to study emergent collective behaviors, design intelligent social platforms, and create distributed solutions for human assistance. Some examples of this include Multi-Agent […]<\/p>\n","protected":false},"author":451,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-1301","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/caos.uc3m.es\/en\/wp-json\/wp\/v2\/pages\/1301","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/caos.uc3m.es\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/caos.uc3m.es\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/caos.uc3m.es\/en\/wp-json\/wp\/v2\/users\/451"}],"replies":[{"embeddable":true,"href":"https:\/\/caos.uc3m.es\/en\/wp-json\/wp\/v2\/comments?post=1301"}],"version-history":[{"count":0,"href":"https:\/\/caos.uc3m.es\/en\/wp-json\/wp\/v2\/pages\/1301\/revisions"}],"wp:attachment":[{"href":"https:\/\/caos.uc3m.es\/en\/wp-json\/wp\/v2\/media?parent=1301"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\u2013 Gonzalo Torrente \u2013<\/p>\n