Emergence of net-grammar in communicating agents Export

@article{citeulike:2741843, abstract = {Evolution of symbolic language and grammar is studied in a network model. Language is expressed by words, i.e. strings of symbols, which are generated by agents with their own symbolic grammar system. Agents communicate with each other by deriving and accepting words via rewriting rule set. They are ranked according to their communicative effectiveness: an agent which can derive less frequent and less acceptable words and accept words in less computational time will have higher scores. They can evolve by mutational processes, which change rewriting rules in their symbolic grammars. Complexity and diversity of words increase in the course of time. The emergence of modules and loop structure enhances the evolution. On the other hand, ensemble structure lead to a net-grammar, restricting individual grammars and their evolution.}, author = {Hashimoto, Takashi and Ikegami, Takashi}, citeulike-article-id = {2741843}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/0303-2647(95)01563-9}, citeulike-linkout-1 = {http://www.isrl.uiuc.edu/~amag/langev/paper/hashimoto96emergenceOf.html}, citeulike-linkout-2 = {http://www.sciencedirect.com/science/article/B6T2K-3WB7YVH-1/1/04d06be99f4c662337c01eccdca8a9e5}, doi = {10.1016/0303-2647(95)01563-9}, journal = {Biosystems}, keywords = {agent\_based, alife, communication, language}, number = {1}, pages = {1--14}, posted-at = {2009-02-04 16:09:34}, priority = {2}, title = {Emergence of net-grammar in communicating agents}, url = {http://dx.doi.org/10.1016/0303-2647(95)01563-9}, volume = {38}, year = {1996} }

TY - JOUR ID - citeulike:2741843 L3 - citeulike-article-id:2741843 N2 - Evolution of symbolic language and grammar is studied in a network model. Language is expressed by words, i.e. strings of symbols, which are generated by agents with their own symbolic grammar system. Agents communicate with each other by deriving and accepting words via rewriting rule set. They are ranked according to their communicative effectiveness: an agent which can derive less frequent and less acceptable words and accept words in less computational time will have higher scores. They can evolve by mutational processes, which change rewriting rules in their symbolic grammars. Complexity and diversity of words increase in the course of time. The emergence of modules and loop structure enhances the evolution. On the other hand, ensemble structure lead to a net-grammar, restricting individual grammars and their evolution. IS - 1 JF - Biosystems EP - 14 TI - Emergence of net-grammar in communicating agents VL - 38 SP - 1 KW - agent_based KW - alife KW - communication KW - language AU - Hashimoto, Takashi AU - Ikegami, Takashi PY - 1996/// UR - http://dx.doi.org/10.1016/0303-2647(95)01563-9 ER -