TY - CHAP T1 - The World as Evolving Information T2 - Unifying Themes in Complex Systems Y1 - 2012 A1 - Carlos Gershenson ED - Minai, Ali ED - Braha, Dan ED - Yaneer {Bar-Yam} AB - This paper discusses the benefits of describing the world as information, especially in the study of the evolution of life and cognition. Traditional studies encounter problems because it is difficult to describe life and cognition in terms of matter and energy, since their laws are valid only at the physical scale. However, if matter and energy, as well as life and cognition, are described in terms of information, evolution can be described consistently as information becoming more complex. The paper presents five tentative laws of information, valid at multiple scales, which are generalizations of Darwinian, cybernetic, thermodynamic, and complexity principles. These are further used to discuss the notions of life and cognition and their evolution. JF - Unifying Themes in Complex Systems PB - Springer CY - Berlin Heidelberg VL - VII UR - http://arxiv.org/abs/0704.0304 ER - TY - CHAP T1 - Protocol Requirements for Self-Organizing Artifacts: Towards an Ambient Intelligence T2 - Unifying Themes in Complex Systems Y1 - 2011 A1 - Carlos Gershenson A1 - Francis Heylighen ED - Minai, Ali ED - Braha, Dan ED - Yaneer {Bar-Yam} AB - We discuss which properties common-use artifacts should have to collaborate without human intervention. We conceive how devices, such as mobile phones, PDAs, and home appliances, could be seamlessly integrated to provide an "ambient intelligence" that responds to the users desires without requiring explicit programming or commands. While the hardware and software technology to build such systems already exists, yet there is no protocol to direct and give meaning to their interactions. We propose the first steps in the development of such a protocol, which would need to be adaptive, extensible, and open to the community, while promoting self-organization. We argue that devices, interacting through "game-like" moves, can learn to agree about how to communicate, with whom to cooperate, and how to delegate and coordinate specialized tasks. Like this, they may evolve distributed cognition or collective intelligence able to tackle any complex of tasks. JF - Unifying Themes in Complex Systems PB - Springer CY - Berlin Heidelberg VL - V UR - http://arxiv.org/abs/nlin.AO/0404004 N1 - Also VUB AI-Lab Memo 04-04 ER -