ANYSELF
Antonio Mora
Aplying Genetic Programming to bots in RTS Planet Wars in CoSECiVi 2014
This work was published inside Primer Congreso de la Sociedad Española para las Ciencias del Videojuego (CoSECIVI), held in Barcelona last June, together with Gamelab 2014. The title is “Designing Competitive Bots for a Real Time Strategy Game using Genetic Programming”, and the abstract: The design of the Artificial Intelligence (AI) engine for an autonomous agent (bot) in a game … Continue reading
Evolving Evil: Optimizing Flocking Strategies through Genetic Algorithms for the Ghost Team in the Game of Ms. Pac-Man
We presented last week this work at EVO* 2014 (EVOGames session) with great success. The Abstract of the work is: Flocking strategies are sets of behavior rules for the interaction of agents that allow to devise controllers with reduced complexity that generate emerging behavior. In this paper, we present an application of genetic algorithms and … Continue reading
Expert Knowledge Modelling in Unreal Tournament presented in CEDI 2013
The title of the paper is “Modelling Human Expert Behaviour in an Unreal Tournament 2004 Bot”. It has presented in the Primer Simposio Español en Entretenimiento Digital (SEED 2013) track, inside CEDI 2013. Abstract: This paper presents a deep description of the design of an autonomous agent (bot) for playing 1 vs. 1 dead match mode in the … Continue reading
Pareto-based Island Model presented at GECCO 2013
Yesterday I presented my work Migration Study on a Pareto-based Island Model for MOACOs, accepted as full-paper at the Genetic and Evolutionary Computation Conference 2013, held in Amsterdam. The paper abstract is: Pareto-based island model is a multi-colony distribution scheme recently presented for the resolution, by means of ant colony optimization algorithms, of bi-criteria problems. It … Continue reading
Unreal Expert Bots at IWANN 2013
Last week IWANN 2013 took place in Tenerife. This is an international conference mainly devoted to researches inside the neural networks scope. In it, Antonio Fernández Leiva, Raúl Lara and I organized the Special Session on Artificial Intelligence and Games. There were five works in the session. One of them is: A.M. Mora, F. Aisa, R. Caballero, P. García-Sánchez, J.J. … Continue reading
Super Mario autonomous agents at LION 2013
Recently, inside the last LION 7 (2013) conference (Special Session on Games and Computational Intelligence) there was presented the paper entitled “FSM-Based Agents for Playing Super Mario Game”. It describes the implementation and test of an autonomous agent which can play Super Mario game better than an expert user can do (in some trained levels). It is … Continue reading
Island Model for Multi-Objective Ant Colony Optimization Algorithms in Soft Computing Journal
We are excited because our work “Pareto-based multi-colony multi-objective ant colony optimization algorithms: an island model proposal” has been published in Soft Computing Journal this month, and is now on-line at http://link.springer.com/article/10.1007%2Fs00500-013-0993-y Yes, the title is a representation of how long the work is 😀 The abstract is: Multi-objective algorithms are aimed to obtain a set … Continue reading
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