Search Results for "agent"

...This project has 2 subprojects: Object Pascal based CAI NEURAL API - https://github.com/joaopauloschuler/neural-api Python based K-CAI NEURAL API - https://github.com/joaopauloschuler/k-neural-api A video from the first prototype has been made: http://www.youtube.com/watch?v=qH-IQgYy9zg Above video shows a popperian agent collecting mining ore from 3 mining sites and bringing to the base. At the time the agent is born, it doesn't know how to walk nor it knows that it feels pleasure by mining. He has tact only (blind agent). The video shows learning, planning, executing and plan optimization.

PhysiCell is a cross-platform C++ framework for large, physics-based multicellular simulations.

NOTICE OF CONSOLIDATION & PARTNERSHIP PENDING As of April 2026, the 20 pipelines of the QCAUS/PDPBioGen suites are undergoing consolidation for high-scale institutional research. Core 'Ford 2026' algorithms remain the proprietary IP of the Ford Peace and Justice Foundation. Academic users at partner institutions are currently performing validation; all other commercial inquiries must contact the author

Combenefit software is a standalone application for Windows that performs surface analyses of drug and other agent combinations to identify synergy. Please cite as: "Di Veroli,G.Y. et al. (2016) Combenefit: an interactive platform for the analysis and visualization of drug combinations. Bioinformatics." (http://bioinformatics.oxfordjournals.org/content/early/2016/05/27/bioinformatics.btw230.abstract) Current version (2.021): https://sourceforge.net/projects/combenefit/files/Combenefit%202.02%20WIN_64%20%28PREFERRED%29/ Older version for 32-bit os: https://sourceforge.net/projects/combenefit/files/WIN_32/ Quick user's guide: https://sourceforge.net/projects/combenefit/files/Combenefit_v2.02_quick_guide_v1.03.pdf/download Examples: https://sourceforge.net/projects/combenefit/files/Examples/ Template file: https://sourceforge.net/projects/combenefit/files/REPLICATE_TEMPLATE.xls/download

The project is moved to GitHub : https://github.com/bekisz/exreco/ Exreco is a agent based platform for the simulation and study of the Darwinian evolutionary process. It aims to support the exploration of genetically rooted phenomena like - aging (programmed cell death) - sexual and asexual reproduction - altruism of individuals - spread of diseases The typical way of using Exreco starts by defining the behavior of your replicators ( agents that can reproduce and evolve over time), and defining the environment of these replicators. ...

Software tool (NEURON, Python, C++) based on the multi-agent Bee algorithm and aiming at multi-parametric optimization. 2 versions : - Link with NEURON (need download and install NEURON and NEURON-python) - Autonomous, with two types of neurones (Izhikevich and hodgkin huxley)

MASyV (Multi-Agent System Visualization) enables one to write agent-based models/cellular automata, eg. in C, visualize them in real time & capture to movie file with MASyVs GUI & message passing lib. Includes examples: Hello World, ants, viral infection

Agent-based multiscale model of cancer proliferation dynamics

TACS (Trust Ant Colony System) is a Trust model for P2P, Ad-hoc and Wireless Sensor networks (also valid for multi-agent systems) based on the bio-inspired algorithm ACS (Ant Colony System).

This project is A Mitochondrial OxydoReduction Simulation System. It consists of two linked projects: a program for displaying and analysing large biomolecular systems (Floral) and a multi-agent simulator for biomolecular oxydoreduction systems (AMORSS).

AgentCell is an agent-based model of cellular biochemical processes and biological behavior.

The primary goal of the JES is to develop Distributed Configuration Service for client/server,clusters,grids,agent based architectures.

The Multi-Scale Agent-Based Networked Simulator (tMANS)

Anthill is a framework to support the design, implementation and evaluation of P2P applications based on ideas such as multi-agent and evolutionary programming borrowed from the complex adaptive systems area.