International Society for the Systems Sciences: Journals ISSS
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Contemporary agri-ecological systems and their contribution to community resilience: reconnecting people and food, and people with people
Alternative agricultural systems that ecological and community resilience provide a bridge between traditional agriculture ( . broad scale
mono-cropping rotations) and natural resource management ( . maintaining pristine environments). These can be referred to as -ecological
systems and include systems such as Organic Agriculture, , Community Supported Agriculture (CSA’s), , Farmers
Markets and Community Gardens. Government agencies, private industries (and to some extent Universities) primarily focus on traditional
agricultural systems. Where sustainability and community health issues are considered, the usual emphasis is on how these traditional systems
might be adapted or managed to reduce environmental or health impacts (within the current economic and production paradigm). Communities
however, are taking the lead in developing -ecological systems that address today’s environmental and social justice imperatives. These
approaches often require more systemic change, as well as a shift from an economic paradigm to an ecological one.
emphasise eg
eg agri
Biodynamics Permaculture
agri
This paper reports on current research by the author to explore a range of alternative approaches to agriculture and how they contribute to more
resilient agri-ecological systems and communities. For example, resiliency can be seen as a systems ability to adapt and respond to external impacts
on a system, and farmers markets show resiliency to sudden market changes (such as price or consumer preferences toward organics, through direct
sale and the involvement of a range of consumers and producers offering a broad range of organic produce). More specifically, this paper reviews
these alternative approaches to agriculture in relation to key concepts from ecological systems thinking, such as ecological resilience, biodiversity
and holism. In addition, the paper explores how these systems contribute to more sustainable and resilient communities, through community
development processes such as relationship building, genuine participation, inclusiveness, resource mobilization and creating space for knowledge
sharing. The paper concludes comparing ecological systems models to alternative agri-ecological systems, and suggests how ecological systems
theories and concepts might contribute to thinking about the future of community-based agro-ecological resilience
Evolutionary Guidance Media: An Overview
Students of history are taught that the assassination of Archduke Franz Ferdinand sparked the beginning of World War I. Today, we might wonder if the students of tomorrow will be taught that 12 cartoons ignited World War III. The importance and power of media continues to expand exponentially, increasingly asserting itself as a critical factor in our lives. As the world continues to interconnect, the potential exists for media to impact the individual and global psyche in a manner hitherto fore unimagined. Creating a new guiding mythos that promotes psycho-spiritual growth is considered necessary to create a sustainable world. Utilizing evolutionary guidance systems design, evolutionary guidance media (EGM) has been designed both in context and content specifically for the purpose of promoting planetary consciousness. This paper provides a brief overview of EGM for the purpose of generating strategic and evolutionary conversations within the international community
Is Good Algorithm for Computer Players also Good for Human Players?
This paper aims to examine effectiveness of rational strategies for rough reasoning human players. Nowadays, computer players beat human champion players in many games (ex. Chess, Reversi, etc.) Actually, since computational power of computers transcends the human players, accuracy and volume of the search ability of computer players are superior to the human champion players in the end game phase. Then, the problem is that these computer algorithms are also effective for human players? The algorithms are basically composed by backward induction that is equilibrium concept for rational players. However, human players sometimes make wrong reasoning unlike computer players. In order to investigate the problem, we first propose a rough reasoning model that describes human imperfect reasoning abilities. This model is characterized by following two assumptions. The first is that as the payoff difference decrease, reasoning accuracy tends to decrease. The second is that as length of the tree increase, reasoning accuracy tends to decrease. We then make some examples of games and play them by some kinds of rough reasoning players with various algorithms. In the real game situations, accepted theories sometimes contradict to the rational strategies. We try to reveal the validity and effectiveness of the theories